From 3974a4d1706972c6baa03e953990904160e6ee09 Mon Sep 17 00:00:00 2001
From: Mend Renovate <bot@renovateapp.com>
Date: Mon, 12 Jun 2023 16:24:12 +0200
Subject: [PATCH 01/13] chore(deps): update dependency pytest to v7.3.2 (#126)
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This PR contains the following updates:

| Package | Change | Age | Adoption | Passing | Confidence |
|---|---|---|---|---|---|
| [pytest](https://docs.pytest.org/en/latest/) ([source](https://togithub.com/pytest-dev/pytest), [changelog](https://docs.pytest.org/en/stable/changelog.html)) | `==7.3.1` -> `==7.3.2` | [![age](https://badges.renovateapi.com/packages/pypi/pytest/7.3.2/age-slim)](https://docs.renovatebot.com/merge-confidence/) | [![adoption](https://badges.renovateapi.com/packages/pypi/pytest/7.3.2/adoption-slim)](https://docs.renovatebot.com/merge-confidence/) | [![passing](https://badges.renovateapi.com/packages/pypi/pytest/7.3.2/compatibility-slim/7.3.1)](https://docs.renovatebot.com/merge-confidence/) | [![confidence](https://badges.renovateapi.com/packages/pypi/pytest/7.3.2/confidence-slim/7.3.1)](https://docs.renovatebot.com/merge-confidence/) |

---

### Release Notes

<details>
<summary>pytest-dev/pytest</summary>

### [`v7.3.2`](https://togithub.com/pytest-dev/pytest/releases/tag/7.3.2)

[Compare Source](https://togithub.com/pytest-dev/pytest/compare/7.3.1...7.3.2)

# pytest 7.3.2 (2023-06-10)

## Bug Fixes

-   [#&#8203;10169](https://togithub.com/pytest-dev/pytest/issues/10169): Fix bug where very long option names could cause pytest to break with `OSError: [Errno 36] File name too long` on some systems.
-   [#&#8203;10894](https://togithub.com/pytest-dev/pytest/issues/10894): Support for Python 3.12 (beta at the time of writing).
-   [#&#8203;10987](https://togithub.com/pytest-dev/pytest/issues/10987): `testpaths`{.interpreted-text role="confval"} is now honored to load root `conftests`.
-   [#&#8203;10999](https://togithub.com/pytest-dev/pytest/issues/10999): The \[monkeypatch]{.title-ref} \[setitem]{.title-ref}/\[delitem]{.title-ref} type annotations now allow \[TypedDict]{.title-ref} arguments.
-   [#&#8203;11028](https://togithub.com/pytest-dev/pytest/issues/11028): Fixed bug in assertion rewriting where a variable assigned with the walrus operator could not be used later in a function call.
-   [#&#8203;11054](https://togithub.com/pytest-dev/pytest/issues/11054): Fixed `--last-failed`'s "(skipped N files)" functionality for files inside of packages (directories with \[\__init\_\_.py]{.title-ref} files).

</details>

---

### Configuration

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♻ **Rebasing**: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.

🔕 **Ignore**: Close this PR and you won't be reminded about this update again.

---

 - [ ] <!-- rebase-check -->If you want to rebase/retry this PR, check this box

---

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---
 samples/snippets/requirements-test.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/samples/snippets/requirements-test.txt b/samples/snippets/requirements-test.txt
index 8b37675d..81ba0fe9 100644
--- a/samples/snippets/requirements-test.txt
+++ b/samples/snippets/requirements-test.txt
@@ -1,3 +1,3 @@
-pytest==7.3.1
+pytest==7.3.2
 mock==5.0.2
 google-cloud-bigquery==3.11.0

From c1843812d988b4a9877b66176be8d103b55b112a Mon Sep 17 00:00:00 2001
From: Mend Renovate <bot@renovateapp.com>
Date: Wed, 14 Jun 2023 19:14:07 +0200
Subject: [PATCH 02/13] chore(deps): update dependency google-cloud-bigquery to
 v3.11.1 (#127)

---
 samples/snippets/requirements-test.txt | 2 +-
 samples/snippets/requirements.txt      | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/samples/snippets/requirements-test.txt b/samples/snippets/requirements-test.txt
index 81ba0fe9..014e025c 100644
--- a/samples/snippets/requirements-test.txt
+++ b/samples/snippets/requirements-test.txt
@@ -1,3 +1,3 @@
 pytest==7.3.2
 mock==5.0.2
-google-cloud-bigquery==3.11.0
+google-cloud-bigquery==3.11.1
diff --git a/samples/snippets/requirements.txt b/samples/snippets/requirements.txt
index 221d2490..672e5885 100644
--- a/samples/snippets/requirements.txt
+++ b/samples/snippets/requirements.txt
@@ -1,4 +1,4 @@
-google-cloud-bigquery==3.11.0
+google-cloud-bigquery==3.11.1
 google-cloud-documentai==2.15.0
 google-cloud-storage==2.9.0
 google-cloud-documentai-toolbox==0.4.1a0

From 7798aac875faef09109ebdef5c7d1cce1db4c35e Mon Sep 17 00:00:00 2001
From: Mend Renovate <bot@renovateapp.com>
Date: Tue, 20 Jun 2023 19:12:53 +0200
Subject: [PATCH 03/13] chore(deps): update dependency google-cloud-documentai
 to v2.16.0 (#130)

---
 samples/snippets/requirements.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/samples/snippets/requirements.txt b/samples/snippets/requirements.txt
index 672e5885..d7caa366 100644
--- a/samples/snippets/requirements.txt
+++ b/samples/snippets/requirements.txt
@@ -1,4 +1,4 @@
 google-cloud-bigquery==3.11.1
-google-cloud-documentai==2.15.0
+google-cloud-documentai==2.16.0
 google-cloud-storage==2.9.0
 google-cloud-documentai-toolbox==0.4.1a0

From 778e433b1d2043c2dc4a1199f4ea9e6be5f4c9ee Mon Sep 17 00:00:00 2001
From: Holt Skinner <13262395+holtskinner@users.noreply.github.com>
Date: Fri, 23 Jun 2023 12:35:31 -0500
Subject: [PATCH 04/13] refactor: Restructuring of classes to reduce
 duplication and increase readibility (#110)

* refactor: Change classes to avoid extra copies

* Fix `default_factory` error

* Update to fix tests

* docs: Update Doc Strings

* Changed other `documentai_` fields to InitVar
- Fixed table sample

* Addressed some code review comments

- Add incomplete shard check
- refactor some of the vision helpers to simplify imports
- Fix documentation formatting issue

* fix test errors

* Fix regex in test

* Change crop_image() return type to optional

* Update Table to use initVar

* Update table sample test

* Add post init for formfields

* Add postinit to Block, Line, Paragraph

* Update Tests

* refactor: Re-added documentai elements as ful members of dataclasses

- Avoids some backwards incompatibility issues
- Fixed bug where Entity page numbers would not line up with multi-shard documents

* fix: Removed referebce to removed function

* refactor: Moved more vision conversion to vision_helpers.py

* Removed extra import

* Addressed review comments

- Added a more specific type for dictionary. `Dict[str, Union[str, List[str]]]`
- Rewrote Docstring for `Entity.page_offset`
- Wrote unit test for `page_offset`

* Update tests to improve coverage
---
 .../converters/vision_helpers.py              |  33 ++-
 .../documentai_toolbox/wrappers/document.py   | 217 +++++++--------
 .../documentai_toolbox/wrappers/entity.py     |  57 ++--
 .../cloud/documentai_toolbox/wrappers/page.py | 261 ++++++------------
 samples/snippets/table_sample.py              |   9 +-
 samples/snippets/test_table_sample.py         |   2 +-
 .../Winnie_the_Pooh_50_Pages-0.json           |   1 +
 .../Winnie_the_Pooh_50_Pages-1.json           |   1 +
 .../Winnie_the_Pooh_50_Pages-3.json           |   1 +
 .../Winnie_the_Pooh_50_Pages-4.json           |   1 +
 tests/unit/test_document.py                   |  77 +++++-
 tests/unit/test_entity.py                     |  33 ++-
 ...est_utilities.py => test_gcs_utilities.py} |  57 ++++
 tests/unit/test_page.py                       | 194 +++++--------
 14 files changed, 510 insertions(+), 434 deletions(-)
 create mode 100644 tests/unit/resources/missing_shard/Winnie_the_Pooh_50_Pages-0.json
 create mode 100644 tests/unit/resources/missing_shard/Winnie_the_Pooh_50_Pages-1.json
 create mode 100644 tests/unit/resources/missing_shard/Winnie_the_Pooh_50_Pages-3.json
 create mode 100644 tests/unit/resources/missing_shard/Winnie_the_Pooh_50_Pages-4.json
 rename tests/unit/{test_utilities.py => test_gcs_utilities.py} (88%)

diff --git a/google/cloud/documentai_toolbox/converters/vision_helpers.py b/google/cloud/documentai_toolbox/converters/vision_helpers.py
index 275b3200..1e968abf 100644
--- a/google/cloud/documentai_toolbox/converters/vision_helpers.py
+++ b/google/cloud/documentai_toolbox/converters/vision_helpers.py
@@ -30,6 +30,8 @@
     Paragraph,
     Block,
     Page,
+    AnnotateImageResponse,
+    ImageAnnotationContext,
 )
 from google.cloud import vision
 
@@ -377,7 +379,34 @@ def _convert_document_page(
         property=text_property,
     )
 
-    text_annotation = TextAnnotation()
-    text_annotation.pages = [page]
+    text_annotation = TextAnnotation(
+        pages=[page],
+        text=_get_text_anchor_substring(
+            page_info.text, page_info.page.layout.text_anchor
+        ),
+    )
 
     return text_annotation
+
+
+def convert_page_to_annotate_image_response(
+    docai_page: Document.Page, document_text: str
+) -> AnnotateImageResponse:
+    r"""Convert OCR data from `Document.proto` to `AnnotateImageResponse.proto` for Vision API.
+
+    Args:
+        docai_page (documentai.Document.Page): Document page to be converted.
+        document_text (str): Full text of the document to convert.
+    Returns:
+        AnnotateImageResponse:
+            Proto with `TextAnnotations`.
+    """
+    page_info = PageInfo(page=docai_page, text=document_text)
+
+    page_vision_annotation = _convert_document_page(page_info)
+    text_annotations = _generate_entity_annotations(page_info)
+    return AnnotateImageResponse(
+        full_text_annotation=page_vision_annotation,
+        text_annotations=text_annotations,
+        context=ImageAnnotationContext(page_number=docai_page.page_number),
+    )
diff --git a/google/cloud/documentai_toolbox/wrappers/document.py b/google/cloud/documentai_toolbox/wrappers/document.py
index dd84ffbf..48877c9a 100644
--- a/google/cloud/documentai_toolbox/wrappers/document.py
+++ b/google/cloud/documentai_toolbox/wrappers/document.py
@@ -18,7 +18,7 @@
 import dataclasses
 import os
 import re
-from typing import Dict, List, Optional
+from typing import Dict, List, Optional, Union
 
 from google.api_core.client_options import ClientOptions
 
@@ -27,25 +27,19 @@
 
 from google.cloud.documentai_toolbox import constants
 
+from google.cloud.documentai_toolbox.converters import vision_helpers
+
 from google.cloud.documentai_toolbox.utilities import gcs_utilities
 
-from google.cloud.documentai_toolbox.wrappers.page import Page
-from google.cloud.documentai_toolbox.wrappers.page import FormField
 from google.cloud.documentai_toolbox.wrappers.entity import Entity
+from google.cloud.documentai_toolbox.wrappers.page import FormField
+from google.cloud.documentai_toolbox.wrappers.page import Page
 
-from google.cloud.vision import AnnotateFileResponse, ImageAnnotationContext
-from google.cloud.vision import AnnotateImageResponse
-
-from google.cloud.documentai_toolbox.wrappers import page
-
-from google.cloud.documentai_toolbox.converters.vision_helpers import (
-    _convert_document_page,
-    _generate_entity_annotations,
-    _get_text_anchor_substring,
-    PageInfo,
+from google.cloud.vision import (
+    AnnotateFileResponse,
 )
 
-from google.longrunning.operations_pb2 import Operation, GetOperationRequest
+from google.longrunning.operations_pb2 import GetOperationRequest, Operation
 
 from pikepdf import Pdf
 
@@ -64,15 +58,14 @@ def _entities_from_shards(
             a list of Entities.
     """
     result = []
+    # Needed to load the correct page index for sharded documents.
+    page_offset = 0
     for shard in shards:
-        for documentai_entity in shard.entities:
-            entity = Entity(documentai_entity=documentai_entity)
-            entity.crop_image(shard)
-            result.append(entity)
-            for documentai_prop in documentai_entity.properties:
-                prop = Entity(documentai_entity=documentai_prop)
-                prop.crop_image(shard)
-                result.append(prop)
+        for entity in shard.entities:
+            result.append(Entity(documentai_entity=entity, page_offset=page_offset))
+            for prop in entity.properties:
+                result.append(Entity(documentai_entity=prop, page_offset=page_offset))
+        page_offset += len(shard.pages)
 
     if len(result) > 1 and result[0].documentai_entity.id:
         result.sort(key=lambda x: int(x.documentai_entity.id))
@@ -92,10 +85,11 @@ def _pages_from_shards(shards: List[documentai.Document]) -> List[Page]:
     """
     result = []
     for shard in shards:
-        text = shard.text
         for shard_page in shard.pages:
-            result.append(Page(documentai_page=shard_page, text=text))
+            result.append(Page(documentai_page=shard_page, document_text=shard.text))
 
+    if len(result) > 1 and result[0].page_number:
+        result.sort(key=lambda x: x.page_number)
     return result
 
 
@@ -128,8 +122,22 @@ def _get_shards(gcs_bucket_name: str, gcs_prefix: str) -> List[documentai.Docume
     for byte in byte_array:
         shards.append(documentai.Document.from_json(byte, ignore_unknown_fields=True))
 
-    if len(shards) > 1:
-        shards.sort(key=lambda x: int(x.shard_info.shard_index))
+    if not shards:
+        raise ValueError("Incomplete Document - No JSON files found.")
+
+    total_shards = len(shards)
+
+    if total_shards == 1:
+        return shards
+
+    shards.sort(key=lambda x: int(x.shard_info.shard_index))
+
+    for shard in shards:
+        if int(shard.shard_info.shard_count) != total_shards:
+            raise ValueError(
+                f"Invalid Document - shardInfo.shardCount ({shard.shard_info.shard_count}) does not match number of shards ({total_shards})."
+            )
+
     return shards
 
 
@@ -153,44 +161,6 @@ def _text_from_shards(shards: List[documentai.Document]) -> str:
     return total_text
 
 
-def _convert_to_vision_annotate_file_response(text: str, pages: List[page.Page]):
-    r"""Convert OCR data from Document.proto to AnnotateFileResponse.proto for Vision API.
-
-    Args:
-        text (str):
-            Required. Contents of document.
-        pages (List[Page]):
-            Required. A list of pages.
-    Returns:
-        AnnotateFileResponse:
-            Proto with TextAnnotations.
-    """
-    responses = []
-    vision_file_response = AnnotateFileResponse()
-    page_idx = 0
-    while page_idx < len(pages):
-        page_info = PageInfo(pages[page_idx].documentai_page, text)
-
-        full_text_annotation = _convert_document_page(page_info)
-        full_text_annotation.text = _get_text_anchor_substring(
-            text, pages[page_idx].documentai_page.layout.text_anchor
-        )
-        text_annotations = _generate_entity_annotations(page_info)
-
-        responses.append(
-            AnnotateImageResponse(
-                full_text_annotation=full_text_annotation,
-                text_annotations=text_annotations,
-                context=ImageAnnotationContext(page_number=page_idx + 1),
-            )
-        )
-        page_idx += 1
-
-    vision_file_response.responses = responses
-
-    return vision_file_response
-
-
 def _get_batch_process_metadata(
     location: str, operation_name: str
 ) -> documentai.BatchProcessMetadata:
@@ -239,11 +209,13 @@ def _get_batch_process_metadata(
     return metadata
 
 
-def _insert_into_dictionary_with_list(dic: Dict, key: str, value: str) -> Dict:
+def _insert_into_dictionary_with_list(
+    dic: Dict[str, Union[str, List[str]]], key: str, value: str
+) -> Dict[str, Union[str, List[str]]]:
     r"""Inserts value into a dictionary that can contain lists.
 
     Args:
-        dic (Dict):
+        dic (Dict[str, Union[str, List[str]]]):
             Required. The dictionary to insert into.
         key (str):
             Required. The key to be created or inserted into.
@@ -251,14 +223,14 @@ def _insert_into_dictionary_with_list(dic: Dict, key: str, value: str) -> Dict:
             Required. The value to be inserted.
 
     Returns:
-        Dict:
-            The dictionary after adding the key value pair.
+        Dict[str, Union[str, List[str]]]:
+            The dictionary after adding the key-value pair.
     """
     existing_value = dic.get(key)
 
     if existing_value:
-        # For duplicate keys,
-        # Change Type to a List if not already
+        # For duplicate keys.
+        # Change type to a List if not already.
         if not isinstance(existing_value, list):
             existing_value = [existing_value]
 
@@ -296,7 +268,7 @@ def _bigquery_column_name(input_string: str) -> str:
 
 
 def _dict_to_bigquery(
-    dic: Dict,
+    dic: Dict[str, Union[str, List[str]]],
     dataset_name: str,
     table_name: str,
     project_id: Optional[str],
@@ -304,7 +276,7 @@ def _dict_to_bigquery(
     r"""Loads dictionary to a BigQuery table.
 
     Args:
-        dic (Dict):
+        dic (Dict[str, Union[str, List[str]]]):
             Required: The dictionary to insert.
         dataset_name (str):
             Required. Name of the BigQuery dataset.
@@ -343,29 +315,35 @@ def _dict_to_bigquery(
 class Document:
     r"""Represents a wrapped `Document`.
 
-    This class hides away the complexities of using `Document` protobuf
+    This class hides away the complexities of using the `Document` protobuf
     response outputted by `BatchProcessDocuments` or `ProcessDocument`
     methods and implements convenient methods for searching and
     extracting information within the `Document`.
 
     Attributes:
-        shards: (List[google.cloud.documentai.Document]):
-            Optional. A list of documentai.Document shards of the same Document.
-            Each shard consists of a number of pages in the Document.
+        shards (List[google.cloud.documentai.Document]):
+            Optional. A list of `documentai.Document` shards of the same `Document`.
+            Each shard consists of a number of pages in the `Document`.
         gcs_bucket_name (Optional[str]):
             Optional. The name of the gcs bucket.
 
-            Format: `gs://{bucket_name}/{optional_folder}/{target_folder}/` where gcs_bucket_name=`bucket`.
+            Format: `gs://{bucket_name}/{optional_folder}/{target_folder}/` where `gcs_bucket_name=bucket`.
         gcs_prefix (Optional[str]):
             Optional. The prefix of the json files in the target_folder.
 
-            Format: `gs://{bucket_name}/{optional_folder}/{target_folder}/` where gcs_prefix=`{optional_folder}/{target_folder}`.
+            Format: `gs://{bucket_name}/{optional_folder}/{target_folder}/` where `gcs_prefix={optional_folder}/{target_folder}`.
+
+            For more information, refer to https://cloud.google.com/storage/docs/json_api/v1/objects/list
+        gcs_input_uri (str):
+            Optional. The gcs uri to the original input file.
 
-            For more information please take a look at https://cloud.google.com/storage/docs/json_api/v1/objects/list .
-        pages: (List[Page]):
-            A list of Pages in the Document.
-        entities: (List[Entity]):
-            A list of Entities in the Document.
+            Format: `gs://{bucket_name}/{optional_folder}/{target_folder}/{file_name}.pdf`
+        pages (List[Page]):
+            A list of `Pages` in the `Document`.
+        entities (List[Entity]):
+            A list of `Entities` in the `Document`.
+        text (str):
+            The full text of the `Document`.
     """
 
     shards: List[documentai.Document] = dataclasses.field(repr=False)
@@ -387,7 +365,7 @@ def from_document_path(
         cls,
         document_path: str,
     ):
-        r"""Loads Document from local document_path.
+        r"""Loads `Document` from local `document_path`.
 
             .. code-block:: python
 
@@ -398,10 +376,10 @@ def from_document_path(
 
         Args:
             document_path (str):
-                Required. The path to the document.json file.
+                Required. The path to the `document.json` file.
         Returns:
             Document:
-                A document from local document_path.
+                A document from local `document_path`.
         """
 
         with open(document_path, "r", encoding="utf-8") as f:
@@ -414,7 +392,7 @@ def from_documentai_document(
         cls,
         documentai_document: documentai.Document,
     ):
-        r"""Loads Document from local documentai_document.
+        r"""Loads `Document` from local `documentai_document`.
 
             .. code-block:: python
 
@@ -426,10 +404,10 @@ def from_documentai_document(
 
         Args:
             documentai_document (documentai.Document):
-                Optional. The Document.proto response.
+                Required. The `Document.proto` response.
         Returns:
             Document:
-                A document from local documentai_document.
+                A document from local `documentai_document`.
         """
 
         return cls(shards=[documentai_document])
@@ -442,11 +420,11 @@ def from_gcs(cls, gcs_bucket_name: str, gcs_prefix: str, gcs_input_uri: str = No
             gcs_bucket_name (str):
                 Required. The gcs bucket.
 
-                Format: Given `gs://{bucket_name}/{optional_folder}/{operation_id}/` where gcs_bucket_name=`{bucket_name}`.
+                Format: Given `gs://{bucket_name}/{optional_folder}/{operation_id}/` where `gcs_bucket_name={bucket_name}`.
             gcs_prefix (str):
                 Required. The prefix to the location of the target folder.
 
-                Format: Given `gs://{bucket_name}/{optional_folder}/{target_folder}` where gcs_prefix=`{optional_folder}/{target_folder}`.
+                Format: Given `gs://{bucket_name}/{optional_folder}/{target_folder}` where `gcs_prefix={optional_folder}/{target_folder}`.
             gcs_input_uri (str):
                 Optional. The gcs uri to the original input file.
 
@@ -520,6 +498,7 @@ def from_batch_process_operation(cls, location: str, operation_name: str):
             operation_name (str):
                 Required. The fully qualified operation name for a `batch_process_documents()` operation.
 
+                Format: `projects/{project}/locations/{location}/operations/{operation}`
         Returns:
             List[Document]:
                 A list of wrapped documents from gcs. Each document corresponds to an input file.
@@ -562,7 +541,7 @@ def search_pages(
         return found_pages
 
     def get_form_field_by_name(self, target_field: str) -> List[FormField]:
-        r"""Returns the list of FormFields named target_field.
+        r"""Returns the list of `FormFields` named `target_field`.
 
         Args:
             target_field (str):
@@ -570,7 +549,7 @@ def get_form_field_by_name(self, target_field: str) -> List[FormField]:
 
         Returns:
             List[FormField]:
-                A list of FormField matching target_field.
+                A list of `FormField` matching `target_field`.
 
         """
         found_fields = []
@@ -581,15 +560,15 @@ def get_form_field_by_name(self, target_field: str) -> List[FormField]:
 
         return found_fields
 
-    def form_fields_to_dict(self) -> Dict:
-        r"""Returns Dictionary of form fields in document.
+    def form_fields_to_dict(self) -> Dict[str, Union[str, List[str]]]:
+        r"""Returns dictionary of form fields in document.
 
         Returns:
-            Dict:
+            Dict[str, Union[str, List[str]]]:
                 The Dict of the form fields indexed by type.
 
         """
-        form_fields_dict: Dict = {}
+        form_fields_dict: Dict[str, Union[str, List[str]]] = {}
         for p in self.pages:
             for form_field in p.form_fields:
                 field_name = _bigquery_column_name(form_field.field_name)
@@ -613,7 +592,7 @@ def form_fields_to_bigquery(
                 Optional. Project ID containing the BigQuery table. If not passed, falls back to the default inferred from the environment.
         Returns:
             bigquery.job.LoadJob:
-                The BigQuery LoadJob for adding the form fields.
+                The BigQuery `LoadJob` for adding the form fields.
 
         """
 
@@ -625,20 +604,20 @@ def form_fields_to_bigquery(
         )
 
     def get_entity_by_type(self, target_type: str) -> List[Entity]:
-        r"""Returns the list of Entities of target_type.
+        r"""Returns the list of `Entities` of `target_type`.
 
         Args:
             target_type (str):
-                Required. target_type.
+                Required. Target entity type.
 
         Returns:
             List[Entity]:
-                A list of Entity matching target_type.
+                A list of `Entity` matching `target_type`.
 
         """
         return [entity for entity in self.entities if entity.type_ == target_type]
 
-    def entities_to_dict(self) -> Dict:
+    def entities_to_dict(self) -> Dict[str, Union[str, List[str]]]:
         r"""Returns Dictionary of entities in document.
 
         Returns:
@@ -646,7 +625,7 @@ def entities_to_dict(self) -> Dict:
                 The Dict of the entities indexed by type.
 
         """
-        entities_dict: Dict = {}
+        entities_dict: Dict[str, Union[str, List[str]]] = {}
         for entity in self.entities:
             entity_type = _bigquery_column_name(entity.type_)
             entities_dict = _insert_into_dictionary_with_list(
@@ -669,7 +648,7 @@ def entities_to_bigquery(
                 Optional. Project ID containing the BigQuery table. If not passed, falls back to the default inferred from the environment.
         Returns:
             bigquery.job.LoadJob:
-                The BigQuery LoadJob for adding the entities.
+                The BigQuery `LoadJob` for adding the entities.
 
         """
 
@@ -722,33 +701,41 @@ def split_pdf(self, pdf_path: str, output_path: str) -> List[str]:
         return output_files
 
     def convert_document_to_annotate_file_response(self) -> AnnotateFileResponse:
-        r"""Convert OCR data from Document.proto to AnnotateFileResponse.proto for Vision API.
+        r"""Convert OCR data from `Document.proto` to `AnnotateFileResponse.proto` for Vision API.
 
         Args:
             None.
         Returns:
             AnnotateFileResponse:
-                Proto with TextAnnotations.
+                Proto with `TextAnnotations`.
         """
-        return _convert_to_vision_annotate_file_response(self.text, self.pages)
+        return AnnotateFileResponse(
+            responses=[
+                vision_helpers.convert_page_to_annotate_image_response(
+                    docai_page, self.text
+                )
+                for shard in self.shards
+                for docai_page in shard.pages
+            ]
+        )
 
     def convert_document_to_annotate_file_json_response(self) -> str:
-        r"""Convert OCR data from Document.proto to JSON str of AnnotateFileResponse for Vision API.
+        r"""Convert OCR data from `Document.proto` to JSON str of `AnnotateFileResponse` for Vision API.
 
         Args:
             None.
         Returns:
             str:
-                JSON string of TextAnnotations.
+                JSON string of `TextAnnotations`.
         """
         return AnnotateFileResponse.to_json(
-            _convert_to_vision_annotate_file_response(self.text, self.pages)
+            self.convert_document_to_annotate_file_response()
         )
 
     def export_images(
         self, output_path: str, output_file_prefix: str, output_file_extension: str
     ) -> List[str]:
-        r"""Exports images from `Document` to files.
+        r"""Exports images from `Document.entities` to files. Only exports `Portrait` entities.
 
         Args:
             output_path (str):
@@ -767,13 +754,15 @@ def export_images(
         output_filenames: List[str] = []
         index = 0
         for entity in self.entities:
-            if not entity.image:
+            image = entity.crop_image(
+                documentai_page=self.pages[entity.start_page].documentai_page
+            )
+            if not image:
                 continue
-
             output_filename = (
                 f"{output_file_prefix}_{index}_{entity.type_}.{output_file_extension}"
             )
-            entity.image.save(os.path.join(output_path, output_filename))
+            image.save(os.path.join(output_path, output_filename))
             output_filenames.append(output_filename)
             index += 1
 
diff --git a/google/cloud/documentai_toolbox/wrappers/entity.py b/google/cloud/documentai_toolbox/wrappers/entity.py
index 717b4617..f1c86eb2 100644
--- a/google/cloud/documentai_toolbox/wrappers/entity.py
+++ b/google/cloud/documentai_toolbox/wrappers/entity.py
@@ -18,6 +18,7 @@
 import dataclasses
 
 from io import BytesIO
+from typing import Optional
 
 from google.cloud import documentai
 from google.cloud.documentai_toolbox import constants
@@ -26,31 +27,47 @@
 
 @dataclasses.dataclass
 class Entity:
-    r"""Represents a wrapped documentai.Document.Entity.
+    """Represents a wrapped `documentai.Document.Entity`.
 
     Attributes:
         documentai_entity (google.cloud.documentai.Document.Entity):
-            Required. The original google.cloud.documentai.Document.Entity object.
+            Required. The original `google.cloud.documentai.Document.Entity` object.
+        page_offset (InitVar[int]):
+            Optional. The start page of the shard containing the `documentai.Document.Entity`
+            in the context of the full `documentai.Document`.
+            `page_refs.page` is relative to the shard, not the full `documentai.Document`.
         type_ (str):
             Required. Entity type from a schema e.g. "Address".
         mention_text (str):
             Optional. Text value in the document e.g. "1600 Amphitheatre Pkwy".
             If the entity is not present in
             the document, this field will be empty.
+        normalized_text (str):
+            Optional. Normalized text value in the document e.g. "1970-01-01".
+            If the entity is not present in
+            the document, this field will be empty.
+        start_page (int):
+            Required. `Page` containing the `Entity` or the first page of the
+            classification (for Splitter/Classifier processors).
+        end_page (int):
+            Required. Last page of the classification
+            (for Splitter/Classifier processors). Default is `0` for other processors.
+        normalized_vertices (List[documentai.NormalizedVertex]):
+            Optional. Vertices for bounding box of `Entity`.
     """
+
     documentai_entity: documentai.Document.Entity = dataclasses.field(repr=False)
+    page_offset: dataclasses.InitVar[Optional[int]] = 0
+
     type_: str = dataclasses.field(init=False)
     mention_text: str = dataclasses.field(init=False, default="")
     normalized_text: str = dataclasses.field(init=False, default="")
 
-    # Only Populated for Splitter/Classifier Output
     start_page: int = dataclasses.field(init=False)
+    # Only Populated for Splitter/Classifier Output
     end_page: int = dataclasses.field(init=False)
 
-    # Only Populated for Identity Documents
-    image: Image.Image = dataclasses.field(init=False, default=None)
-
-    def __post_init__(self):
+    def __post_init__(self, page_offset: int) -> None:
         self.type_ = self.documentai_entity.type_
         self.mention_text = self.documentai_entity.mention_text
         if (
@@ -59,32 +76,36 @@ def __post_init__(self):
         ):
             self.normalized_text = self.documentai_entity.normalized_value.text
 
-        if self.documentai_entity.page_anchor.page_refs:
-            self.start_page = int(self.documentai_entity.page_anchor.page_refs[0].page)
-            self.end_page = int(self.documentai_entity.page_anchor.page_refs[-1].page)
+        page_refs = self.documentai_entity.page_anchor.page_refs
+        if page_refs:
+            self.start_page = int(page_refs[0].page) + page_offset
+            self.end_page = int(page_refs[-1].page) + page_offset
 
-    def crop_image(self, documentai_document: documentai.Document):
+    def crop_image(
+        self, documentai_page: documentai.Document.Page
+    ) -> Optional[Image.Image]:
         r"""Return image cropped from page image for detected entity.
 
         Args:
-            documentai_document (documentai.Document):
-                Required. The `Document` containing the `Entity`.
+            documentai_page (documentai.Document):
+                Required. The `Document.Page` containing the `Entity`.
         Returns:
             PIL.Image.Image:
                 Image from `Document.Entity`. Returns `None` if there is no image.
         """
         if self.type_ not in constants.IMAGE_ENTITIES or self.mention_text:
-            return
+            return None
 
         page_ref = self.documentai_entity.page_anchor.page_refs[0]
-        doc_page = documentai_document.pages[page_ref.page]
-        image_content = doc_page.image.content
 
-        doc_image = Image.open(BytesIO(image_content))
+        if not documentai_page.image:
+            raise ValueError("Document does not contain images.")
+
+        doc_image = Image.open(BytesIO(documentai_page.image.content))
         w, h = doc_image.size
         vertices = [
             (int(v.x * w + 0.5), int(v.y * h + 0.5))
             for v in page_ref.bounding_poly.normalized_vertices
         ]
         (top, left), (bottom, right) = vertices[0], vertices[2]
-        self.image = doc_image.crop((top, left, bottom, right))
+        return doc_image.crop((top, left, bottom, right))
diff --git a/google/cloud/documentai_toolbox/wrappers/page.py b/google/cloud/documentai_toolbox/wrappers/page.py
index 9c2d876d..27c1b2f6 100644
--- a/google/cloud/documentai_toolbox/wrappers/page.py
+++ b/google/cloud/documentai_toolbox/wrappers/page.py
@@ -29,6 +29,8 @@ class Table:
     Attributes:
         documentai_table (google.cloud.documentai.Document.Page.Table):
             Required. The original google.cloud.documentai.Document.Page.Table object.
+        document_text (str):
+            Required. UTF-8 encoded text in reading order from the document.
         body_rows (List[List[str]]):
             Required. A list of body rows.
         header_rows (List[List[str]]):
@@ -36,8 +38,18 @@ class Table:
     """
 
     documentai_table: documentai.Document.Page.Table = dataclasses.field(repr=False)
-    body_rows: List[List[str]] = dataclasses.field(repr=False)
-    header_rows: List[List[str]] = dataclasses.field(repr=False)
+    document_text: dataclasses.InitVar[str]
+
+    body_rows: List[List[str]] = dataclasses.field(init=False, repr=False)
+    header_rows: List[List[str]] = dataclasses.field(init=False, repr=False)
+
+    def __post_init__(self, document_text) -> None:
+        self.header_rows = _table_rows_from_documentai_table_rows(
+            table_rows=list(self.documentai_table.header_rows), text=document_text
+        )
+        self.body_rows = _table_rows_from_documentai_table_rows(
+            table_rows=list(self.documentai_table.body_rows), text=document_text
+        )
 
     def to_dataframe(self) -> pd.DataFrame:
         r"""Returns pd.DataFrame from documentai.table
@@ -90,36 +102,6 @@ def sample_table_to_csv():
         return self.to_dataframe().to_csv(index=False)
 
 
-def _table_wrapper_from_documentai_table(
-    documentai_table: documentai.Document.Page.Table, text: str
-) -> Table:
-    r"""Returns a Table.
-
-    Args:
-        documentai_table (documentai.Document.Page.Table):
-            Required. A documentai.Document.Page.Table.
-        text (str):
-            Required. UTF-8 encoded text in reading order
-            from the document.
-
-    Returns:
-        Table:
-            A Table.
-
-    """
-
-    header_rows = _table_rows_from_documentai_table_rows(
-        table_rows=list(documentai_table.header_rows), text=text
-    )
-    body_rows = _table_rows_from_documentai_table_rows(
-        table_rows=list(documentai_table.body_rows), text=text
-    )
-
-    return Table(
-        documentai_table=documentai_table, body_rows=body_rows, header_rows=header_rows
-    )
-
-
 @dataclasses.dataclass
 class Block:
     """Represents a wrapped documentai.Document.Page.Block.
@@ -127,12 +109,20 @@ class Block:
     Attributes:
         documentai_block (google.cloud.documentai.Document.Page.Block):
             Required. The original google.cloud.documentai.Document.Page.Block object.
+        document_text (str):
+            Required. UTF-8 encoded text in reading order from the document.
         text (str):
-            Required. UTF-8 encoded text.
+            Required. UTF-8 encoded text of the block.
     """
 
     documentai_block: documentai.Document.Page.Block
-    text: str
+    document_text: dataclasses.InitVar[str]
+    text: str = dataclasses.field(init=False)
+
+    def __post_init__(self, document_text) -> None:
+        self.text = _text_from_layout(
+            layout=self.documentai_block.layout, text=document_text
+        )
 
 
 @dataclasses.dataclass
@@ -142,12 +132,20 @@ class Paragraph:
     Attributes:
         documentai_paragraph (google.cloud.documentai.Document.Page.Paragraph):
             Required. The original google.cloud.documentai.Document.Page.Paragraph object.
+        document_text (str):
+            Required. UTF-8 encoded text in reading order from the document.
         text (str):
             Required. UTF-8 encoded text.
     """
 
     documentai_paragraph: documentai.Document.Page.Paragraph
-    text: str
+    document_text: dataclasses.InitVar[str]
+    text: str = dataclasses.field(init=False)
+
+    def __post_init__(self, document_text) -> None:
+        self.text = _text_from_layout(
+            layout=self.documentai_paragraph.layout, text=document_text
+        )
 
 
 @dataclasses.dataclass
@@ -157,12 +155,20 @@ class Line:
     Attributes:
         documentai_line (google.cloud.documentai.Document.Page.Line):
             Required. The original google.cloud.documentai.Document.Page.Line object.
+        document_text (str):
+            Required. UTF-8 encoded text in reading order from the document.
         text (str):
             Required. UTF-8 encoded text.
     """
 
     documentai_line: documentai.Document.Page.Line
-    text: str
+    document_text: dataclasses.InitVar[str]
+    text: str = dataclasses.field(init=False)
+
+    def __post_init__(self, document_text) -> None:
+        self.text = _text_from_layout(
+            layout=self.documentai_line.layout, text=document_text
+        )
 
 
 @dataclasses.dataclass
@@ -172,6 +178,8 @@ class FormField:
     Attributes:
         documentai_formfield (google.cloud.documentai.Document.Page.FormField):
             Required. The original google.cloud.documentai.Document.Page.FormField object.
+        document_text (str):
+            Required. UTF-8 encoded text in reading order from the document.
         field_name (str):
             Required. The form field name
         field_value (str):
@@ -179,8 +187,18 @@ class FormField:
     """
 
     documentai_formfield: documentai.Document.Page.FormField
-    field_name: str
-    field_value: str
+    document_text: dataclasses.InitVar[str]
+
+    field_name: str = dataclasses.field(init=False)
+    field_value: str = dataclasses.field(init=False)
+
+    def __post_init__(self, document_text) -> None:
+        self.field_name = _trim_text(
+            _text_from_layout(self.documentai_formfield.field_name, document_text)
+        )
+        self.field_value = _trim_text(
+            _text_from_layout(self.documentai_formfield.field_value, document_text)
+        )
 
 
 def _text_from_layout(layout: documentai.Document.Page.Layout, text: str) -> str:
@@ -206,86 +224,6 @@ def _text_from_layout(layout: documentai.Document.Page.Layout, text: str) -> str
     return result_text
 
 
-def _get_blocks(blocks: List[documentai.Document.Page.Block], text: str) -> List[Block]:
-    r"""Returns a list of Block.
-
-    Args:
-        blocks (List[documentai.Document.Page.Block]):
-            Required. A list of documentai.Document.Page.Block objects.
-        text (str):
-            Required. UTF-8 encoded text in reading order
-            from the document.
-    Returns:
-        List[Block]:
-             A list of Blocks.
-    """
-    result = []
-
-    for block in blocks:
-        result.append(
-            Block(
-                documentai_block=block,
-                text=_text_from_layout(layout=block.layout, text=text),
-            )
-        )
-
-    return result
-
-
-def _get_paragraphs(
-    paragraphs: List[documentai.Document.Page.Paragraph], text: str
-) -> List[Paragraph]:
-    r"""Returns a list of Paragraph.
-
-    Args:
-        paragraphs (List[documentai.Document.Page.Paragraph]):
-            Required. A list of documentai.Document.Page.Paragraph objects.
-        text (str):
-            Required. UTF-8 encoded text in reading order
-            from the document.
-    Returns:
-        List[Paragraph]:
-             A list of Paragraphs.
-    """
-    result = []
-
-    for paragraph in paragraphs:
-        result.append(
-            Paragraph(
-                documentai_paragraph=paragraph,
-                text=_text_from_layout(layout=paragraph.layout, text=text),
-            )
-        )
-
-    return result
-
-
-def _get_lines(lines: List[documentai.Document.Page.Line], text: str) -> List[Line]:
-    r"""Returns a list of Line.
-
-    Args:
-        lines (List[documentai.Document.Page.Line]):
-            Required. A list of documentai.Document.Page.Line objects.
-        text (str):
-            Required. UTF-8 encoded text in reading order
-            from the document.
-    Returns:
-        List[Line]:
-            A list of Lines.
-    """
-    result = []
-
-    for line in lines:
-        result.append(
-            Line(
-                documentai_line=line,
-                text=_text_from_layout(layout=line.layout, text=text),
-            )
-        )
-
-    return result
-
-
 def _trim_text(text: str) -> str:
     r"""Remove extra space characters from text (blank, newline, tab, etc.)
 
@@ -300,37 +238,6 @@ def _trim_text(text: str) -> str:
     return text.strip().replace("\n", " ")
 
 
-def _get_form_fields(
-    form_fields: List[documentai.Document.Page.FormField], text: str
-) -> List[FormField]:
-    r"""Returns a list of FormField.
-
-    Args:
-        form_fields (List[documentai.Document.Page.FormField]):
-            Required. A list of documentai.Document.Page.FormField objects.
-        text (str):
-            Required. UTF-8 encoded text in reading order
-            from the document.
-    Returns:
-        List[FormField]:
-            A list of FormFields.
-    """
-    result = []
-
-    for form_field in form_fields:
-        result.append(
-            FormField(
-                documentai_formfield=form_field,
-                field_name=_trim_text(_text_from_layout(form_field.field_name, text)),
-                field_value=_trim_text(
-                    _text_from_layout(form_field.field_value, text),
-                ),
-            )
-        )
-
-    return result
-
-
 def _table_rows_from_documentai_table_rows(
     table_rows: List[documentai.Document.Page.Table.TableRow], text: str
 ) -> List[List[str]]:
@@ -366,9 +273,13 @@ class Page:
 
     Attributes:
         documentai_page (google.cloud.documentai.Document.Page):
-            Required. The original google.cloud.documentai.Document.Page object.
-        text: (str):
-            Required. The full text of the Document containing the Page.
+            Required. The original `google.cloud.documentai.Document.Page` object.
+        document_text (str):
+            Required. The full text of the `Document` containing the `Page`.
+        text (str):
+            Required. UTF-8 encoded text of the page.
+        page_number (int):
+            Required. The page number of the `Page`.
         form_fields (List[FormField]):
             Required. A list of visually detected form fields on the
             page.
@@ -390,30 +301,36 @@ class Page:
     """
 
     documentai_page: documentai.Document.Page = dataclasses.field(repr=False)
-    text: str = dataclasses.field(repr=False)
+    document_text: dataclasses.InitVar[str]
 
+    text: str = dataclasses.field(init=False, repr=False)
+    page_number: int = dataclasses.field(init=False, repr=False)
     form_fields: List[FormField] = dataclasses.field(init=False, repr=False)
     lines: List[Line] = dataclasses.field(init=False, repr=False)
     paragraphs: List[Paragraph] = dataclasses.field(init=False, repr=False)
     blocks: List[Block] = dataclasses.field(init=False, repr=False)
     tables: List[Table] = dataclasses.field(init=False, repr=False)
 
-    def __post_init__(self):
-        tables = []
-
-        for table in self.documentai_page.tables:
-            tables.append(
-                _table_wrapper_from_documentai_table(
-                    documentai_table=table, text=self.text
-                )
-            )
-
-        self.form_fields = _get_form_fields(
-            form_fields=self.documentai_page.form_fields, text=self.text
-        )
-        self.lines = _get_lines(lines=self.documentai_page.lines, text=self.text)
-        self.paragraphs = _get_paragraphs(
-            paragraphs=self.documentai_page.paragraphs, text=self.text
-        )
-        self.blocks = _get_blocks(blocks=self.documentai_page.blocks, text=self.text)
-        self.tables = tables
+    def __post_init__(self, document_text) -> None:
+        self.text = _text_from_layout(self.documentai_page.layout, text=document_text)
+        self.page_number = int(self.documentai_page.page_number)
+        self.form_fields = [
+            FormField(documentai_formfield=form_field, document_text=document_text)
+            for form_field in self.documentai_page.form_fields
+        ]
+        self.lines = [
+            Line(documentai_line=line, document_text=document_text)
+            for line in self.documentai_page.lines
+        ]
+        self.paragraphs = [
+            Paragraph(documentai_paragraph=paragraph, document_text=document_text)
+            for paragraph in self.documentai_page.paragraphs
+        ]
+        self.blocks = [
+            Block(documentai_block=block, document_text=document_text)
+            for block in self.documentai_page.blocks
+        ]
+        self.tables = [
+            Table(documentai_table=table, document_text=document_text)
+            for table in self.documentai_page.tables
+        ]
diff --git a/samples/snippets/table_sample.py b/samples/snippets/table_sample.py
index c73ec3e6..b7d6cf9e 100644
--- a/samples/snippets/table_sample.py
+++ b/samples/snippets/table_sample.py
@@ -28,14 +28,13 @@ def table_sample(document_path: str, output_file_prefix: str) -> None:
     wrapped_document = document.Document.from_document_path(document_path=document_path)
 
     print("Tables in Document")
-    for page_number, page in enumerate(wrapped_document.pages):
-        for table_number, table in enumerate(page.tables):
+    for page in wrapped_document.pages:
+        for table_index, table in enumerate(page.tables):
             print(table.to_dataframe())
-
             # Write table to CSV file
-            output_file = f"{output_file_prefix}-{page_number}-{table_number}.csv"
+            output_file = f"{output_file_prefix}-{page.page_number}-{table_index}.csv"
             with open(output_file, "w", encoding="utf-8") as f:
-                f.write(wrapped_document.pages[0].tables[0].to_csv())
+                f.write(table.to_csv())
 
 
 # [END documentai_toolbox_table]
diff --git a/samples/snippets/test_table_sample.py b/samples/snippets/test_table_sample.py
index 1768b1bc..45935ff5 100644
--- a/samples/snippets/test_table_sample.py
+++ b/samples/snippets/test_table_sample.py
@@ -31,6 +31,6 @@ def test_table_sample(capsys: pytest.CaptureFixture) -> None:
     assert "Tables in Document" in out
     assert "Item 1" in out
 
-    output_filename = f"{output_file_prefix}-0-0.csv"
+    output_filename = f"{output_file_prefix}-1-0.csv"
     assert os.path.exists(output_filename)
     os.remove(output_filename)
diff --git a/tests/unit/resources/missing_shard/Winnie_the_Pooh_50_Pages-0.json b/tests/unit/resources/missing_shard/Winnie_the_Pooh_50_Pages-0.json
new file mode 100644
index 00000000..19424fc0
--- /dev/null
+++ b/tests/unit/resources/missing_shard/Winnie_the_Pooh_50_Pages-0.json
@@ -0,0 +1 @@
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Let us continue to follow them.'\nSo they went on, feeling just a little anxious now,\nin case the three animals in front of them were of\nHostile Intent. And Piglet wished very much that\nhis Grandfather T. W. were there, instead of else-\nwhere, and Pooh thought how nice it would be if\nthey met Christopher Robin suddenly but quite ac-\ncidentally, and only because he liked Christopher\nRobin so much. And then, all of a sudden, Winnie-\nthe-Pooh stopped again, and licked the tip of his\nnose in a cooling manner, for he was feeling more\nhot and anxious than ever in his life before. There\nwere four animals in front of them!\n\"Do you see, Piglet? Look at their tracks! Three,\nDigitized by\nGoogle\nPOOH AND PIGLET HUNT\n39\nas it were, Woozles, and one, as it was, Wizzle. An-\nother Woozle has joined them!”\nAnd so it seemed to be. There were the tracks;\ncrossing over each other here, getting muddled up\nwith each other there; but, quite plainly every now\nand then, the tracks of four sets of paws.\n\"I think,\" said Piglet, when he had licked the tip\nof his nose too, and found that it brought very little\ncomfort, \"I think that I have just remembered\nsomething. I have just remembered something that\nI forgot to do yesterday and shan't be able to do to-\nmorrow. So I suppose I really ought to go back and\ndo it now.'\n\"We'll do it this afternoon, and I'll come with\nyou,\" said Pooh.\n\"It isn't the sort of thing you can do in the after-\nnoon,” said Piglet quickly. “It's a very particular\nmorning thing, that has to be done in the morning,\nand, if possible, between the hours of What\nwould you say the time was?\"\n\"About twelve,\" said Winnie-the-Pooh, looking at\nthe sun.\n\"Between, as I was saying, the hours of twelve and\ntwelve five. So, really, dear old Pooh, if you'll ex-\ncuse me- What's that?\"\nPooh looked up at the sky, and then, as he heard\nthe whistle again, he looked up into the branches of\na big oak-tree, and then he saw a friend of his.\nDigitized by\nGoogle\n40\n\"It's Christopher Robin,\" he said.\nWINNIE-THE-POOH\nDigitized by\nMart\nAM\n\"Ah, then you'll be all right,\" said Piglet. \"You'll\nbe quite safe with him. Good-bye,\" and he trotted\noff home as quickly as he could, very glad to be\nOut of All Danger again.\nGoogle\n13\nWATER\nChristopher Robin came slowly down his tree.\n\"Silly old Bear,\" he said, \"what were you doing?\nPOOH AND PIGLET HUNT\n41\nFirst you went round the spinney twice by your-\nself, and then Piglet ran after you and you went\nround again together, and then you were just going\nround a fourth time--\"\n\"Wait a moment,\" said Winnie-the-Pooh, holding\nup his paw.\nHe sat down and thought, in the most thoughtful\nway he could think. Then he fitted his paw into\none of the Tracks . . . and then he scratched his\nnose twice, and stood up.\n\"Yes,\" said Winnie-the-Pooh.\n\"I see now,\" said Winnie-the-Pooh.\n\"I have been Foolish and Deluded,\" said he, \"and\nI am a Bear of No Brain at All.\"\n\"You're the Best Bear in All the World,” said\nChristopher Robin soothingly.\n\"Am I?\" said Pooh hopefully. And then he bright-\nened up suddenly.\n\"Anyhow,\" he said, \"it is nearly Luncheon Time.\"\nSo he went home for it.\nDigitized by Google\nIN WHICH Eeyore Loses a Tail\nand Pooh Finds One\nTHE Old Grey Donkey, Eeyore,\nstood by himself in a thistly corner of the forest,\nhis front feet well apart, his head on one side, and\nC\nCHAPTER IV\n42\nDigitized by\nGoogle\nEEYORE LOSES A TAIL\n43\nthought about things. Sometimes he thought sadly\nto himself, \"Why?\" and sometimes he thought,\n\"Wherefore?\" and sometimes he thought, \"Inas-\nmuch as which?\"-and sometimes he didn't quite\nknow what he was thinking about. So when Winnie-\nthe-Pooh came stumping along, Eeyore was very\nglad to be able to stop thinking for a little, in order\nto say \"How do you do?\" in a gloomy manner to\nhim.\n\"And how are you?\" said Winnie-the-Pooh.\nEeyore shook his head from side to side.\n\"Not very how,\" he said. \"I don't seem to have\nfelt at all how for a long time.\"\n\"Dear, dear,\" said Pooh, \"I'm sorry about that.\nLet's have a look at you.\"\nSo Eeyore stood there, gazing sadly at the ground,\nand Winnie-the-Pooh walked all round him once.\n\"Why, what's happened to your tail?\" he said in\nsurprise.\nDigitized by\nGoogle\n44\n\"What has happened to it?\" said Eeyore.\n\"It isn't there!\"\n\"Are you sure?\"\nWINNIE-THE-POOH\n\"Well, either a tail is there or it isn't there. You\ncan't make a mistake about it. And yours isn't\nthere!\"\n\"Then what is?\"\n\"Nothing.\"\n\"Let's have a look,\" said Eeyore, and he turned\nslowly round to the place where his tail had been a\nlittle while ago, and then, finding that he couldn't\ncatch it up, he turned round the other way, until he\ncame back to where he was at first, and then he put\nhis head down and looked between his front legs,\nand at last he said, with a long, sad sigh, \"I believe\nyou're right.\"\n\"Of course I'm right,\" said Pooh.\n\"That Accounts for a Good Deal,\" said Eeyore\ngloomily. \"It Explains Everything. No Wonder.\"\nDigitized by\nGoogle\nEEYORE LOSES A TAIL\n45\n\"You must have left it somewhere,\" said Winnie-\nthe-Pooh.\n\"Somebody must have taken it,\" said Eeyore. \"How\nLike Them,\" he added, after a long silence.\nPooh felt that he ought to say something helpful\nabout it, but didn't quite know what. So he decided\nto do something helpful instead.\n\"Eeyore,\" he said solemnly, \"I, Winnie-the-Pooh,\nwill find your tail for you.\"\nn\n\"Thank you, Pooh,\" answered Eeyore. \"You're a\nreal friend,\" said he. \"Not like Some,\" he said.\nSo Winnie-the-Pooh went off to find Eeyore's tail.\nIt was a fine spring morning in the forest as he\nstarted out. Little soft clouds played happily in a\nblue sky, skipping from time to time in front of the\nsun as if they had come to put it out, and then slid-\ning away suddenly so that the next might have his\nturn. Through them and between them the sun\nshone bravely; and a copse which had worn its firs\nall the year round seemed old and dowdy now be-\nside the new green lace which the beeches had put\nDigitized by\nGoogle\n46\non so prettily. Through copse and spinney marched\nBear; down open slopes of gorse and heather, over\nrocky beds of streams, up steep banks of sandstone\ninto the heather again; and so at last, tired and hun-\ngry, to the Hundred Acre Wood. For it was in the\nHundred Acre Wood that Owl lived.\n\"And if anyone knows anything about anything,\"\nsaid Bear to himself, \"it's Owl who knows some-\nthing about something,\" he said, “or my name's not\nWinnie-the-Pooh,” he said. “Which it is,” he added.\n\"So there\nyou are.\nOwl lived at The Chestnuts, an old-world resi-\ndence of great charm, which was grander than any-\nbody else's, or seemed so to Bear, because it had\nboth a knocker and a bell-pull. Underneath the\nknocker there was a notice which said:\nWINNIE-THE-POOH\nPLES RING IF AN RNSER IS REQIRD.\nUnderneath the bell-pull there was a notice which\nsaid:\nPLEZ CNOKE IF AN RNSR IS NOT REQID.\nThese notices had been written by Christopher\nRobin, who was the only one in the forest who\ncould spell; for Owl, wise though he was in many\nways, able to read and write and spell his own name\nWOL, yet somehow went all to pieces over delicate\nwords like MEASLES and BUTTERED TOAST.\nDigitized by\nGoogle\n48\nWINNIE-THE-POOH\nWinnie-the-Pooh read the two notices very care-\nfully, first from left to right, and afterwards, in case\nhe had missed some of it, from right to left. Then,\nto make quite sure, he knocked and pulled the\nknocker, and he pulled and knocked the bell-rope,\nand he called out in a very loud voice, “Owl! I re-\nquire an answer! It's Bear speaking.\" And the door\nopened, and Owl looked out.\n\"Hallo, Pooh,\" he said. \"How's things?\"\n\"Terrible and Sad,\" said Pooh, \"because Eeyore,\nwho is a friend of mine, has lost his tail. And he's\nMoping about it. So could you very kindly tell me\nhow to find it for him?\"\n\"Well,\" said Owl, \"the customary procedure in\nsuch cases is as follows.\"\n\"What does Crustimoney Proseedcake mean?” said\nPooh. \"For I am a Bear of Very Little Brain, and\nlong words, Bother me.\"\n\"It means the Thing to Do.\"\n\"As long as it means that, I don't mind,\" said Pooh\nhumbly.\n\"The thing to do is as follows. First, Issue a Re-\nward. Then--\"\n\"Just a moment,\" said Pooh, holding up his paw.\n“What do we do to this-what you were saying?\nYou sneezed just as you were going to tell me.\"\n\"I didn't sneeze.\"\n\"Yes, you did, Owl.\"\nDigitized by\nGoogle\n"}
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And I think-but I am not sure-that\nthat is why he was always called Pooh.\nWINNIE-THE-POOH\n\"Is that the end of the story?\" asked Christopher\nRobin.\n\"That's the end of that one. There are others.\"\n\"About Pooh and Me?\"\n\"And Piglet and Rabbit and all of you. Don't you\nremember?\"\n\"I do remember, and then when I try to remem-\nber, I forget.\"\n\"That day when Pooh and Piglet tried to catch\nthe Heffalump-\n\"They didn't catch it, did they?\"\n\"No.\"\n\"Pooh couldn't, because he hasn't any brain. Did\n1 catch it?\"\n\"Well, that comes into the story.\"\nChristopher Robin nodded.\n\"I do remember,\" he said, \"only Pooh doesn't very\nwell, so that's why he likes having it told to him\nDigitized by\nGoogle\n01\nth\nre\nn\na\nha\nme\n01\n1\nch\nid\nFY\n11\nWE ARE INTRODUCED\n19\nagain. Because then it's a real story and not just a\nremembering.\"\n\"That's just how I feel,\" I said.\nChristopher Robin gave a deep sigh, picked his\nBear up by the leg, and walked off to the door,\ntrailing Pooh behind him. At the door he turned\nand said, \"Coming to see me have my bath?\"\n\"I might,\" I said.\nG\nTUFF\nLVW HIVS\n\"I didn't hurt him when I shot him, did I?\"\n\"Not a bit.\"\nHe nodded and went out, and in a moment\nI heard Winnie-the-Pooh-bump, bump, bump-\ngoing up the stairs behind him.\nDigitized by\nGoogle\nCHAPTER II\nIN WHICH Pooh Goes Visiting and\nGets Into a Tight Place\nEDWARD\nDWARD BEAR, known to his\nfriends as Winnie-the-Pooh, or Pooh for short, was\nwalking through the forest one day, humming\nproudly to himself. He had made up a little hum\nthat very morning, as he\nwas doing his Stoutness Ex-\nercises in front of the glass:\nTra-la-la, tra-la-la, as he.\nstretched up as high as he\ncould go, and then Tra-\nla-la, tra-la-oh, help!-la,\nas he tried to reach his toes.\nAfter breakfast he had said\nit over and over to himself until he had learnt it off\nby heart, and now he was humming it right through.\nproperly. It went like this:\n20\nDigitized by\nGoogle\n25\ne\nPOOH GOES VISITING\nTra-la-la, tra-la-la,\nTra-la-la, tra-la-la,\nRum-tum-tiddle-um-tum.\nTiddle-iddle, tiddle-iddle,\nTiddle-iddle, tiddle-iddle,\nRum-tum-tum-tiddle-um.\nDigitized by\nGoogle\n21\nWINNIE-THE-POOR\nWell, he was humming this hum to himself, and\nwalking along gaily, wondering what everybody\nelse was doing, and what it felt like, being some-\nbody else, when suddenly he came to a sandy bank,\nand in the bank was a large hole.\n\"Aha!\" said Pooh. (Rum-tum-tiddle-um-tum.) \"If\nI know anything about anything, that hole means\nRabbit,\" he said, \"and Rabbit means Company,\" he\nsaid, “and Company means Food and Listening-to\nMe-Humming and such like. Rum-tum-tum-\ntiddle-um.\"\n22\nSo he bent down, put his head into the hole, and\ncalled out:\n\"Is anybody at home?”\nThere was a sudden scuffling noise from inside\nthe hole, and then silence.\n\"What I said was, 'Is anybody at home?”” called\nout Pooh very loudly.\n\"No!\" said a voice; and then added, \"You needn't\nshout so loud. I heard you quite well the first time.\"\n\"Bother!\" said Pooh. \"Isn't there anybody here at\nall?\"\n\"Nobody.\"\nWinnie-the-Pooh took his head out of the hole,\nand thought for a little, and he thought to himself,\n\"There must be somebody there, because somebody\nmust have said 'Nobody.'\" So he put his head back\nin the hole, and said:\nDigitized by\nGoogle\nPOOH GOES VISITING\n\"Hallo, Rabbit, isn't that you?\"\n\"No,\" said Rabbit, in a different sort of voice this\ntime.\n\"But isn't that Rabbit's voice?\"\n\"I don't think so,\" said Rabbit. \"It isn't meant\nto be.\"\n\"Oh!\" said Pooh.\nHe took his head out of the hole, and had another\nthink, and then he put it back, and said:\n\"Well, could you very kindly tell me where Rab-\nbit is?\"\n\"He has gone to see his friend Pooh Bear, who is\na great friend of his.\"\n\"But this is Me!\" said Bear, very much surprised.\n\"What sort of Me?\"\n\"Pooh Bear.\"\n\"Are you sure?\" said Rabbit, still more surprised,\n\"Quite, quite sure,\" said Pooh.\n\"Oh, well, then, come in.\"\nCOBDE\n23\nDigitized by\nGoogle\n24\nSo Pooh pushed and pushed and pushed his way\nthrough the hole, and at last he got in.\n\"You were quite right,\" said Rabbit, looking at\nhim all over. \"It is you. Glad to see you.\"\nWINNIE-THE-POOH\n\"Who did you think it was?”\n\"Well, I wasn't sure. You know how it is in the\nForest. One can't have anybody coming into one's\nhouse. One has to be careful. What about a mouth-\nful of something?\"\nPooh always liked a little something at eleven\no'clock in the morning, and he was very glad to see\nRabbit getting out the plates and mugs; and when\nRabbit said, \"Honey or condensed milk with your\nbread?\" he was so excited that he said, \"Both,\" and\nthen, so as not to seem greedy, he added, “But don't\nbother about the bread, please.\" And for a long\ntime after that he said nothing until at last,\nhumming to himself in a rather sticky voice, he got\nup, shook Rabbit lovingly by the paw, and said that\nhe must be going on.\n● ●\n\"Must you?\" said Rabbit politely.\n\"Well,\" said Pooh, \"I could stay a little longer if\nit-if you-\" and he tried very hard to look in the\ndirection of the larder.\nDigitized by\n\"As a matter of fact,” said Rabbit, \"I was going\nout myself directly.\"\n\"Oh, well, then, I'll be going on. Good-bye.\"\n\"Well, good-bye, if you're sure you won't have\nany more.\"\nGoogle\nPOOH GOES VISITING\n\"Is there any more?\" asked Pooh quickly.\nRabbit took the covers off the dishes, and said,\n\"No, there wasn't.\"\n\"I thought not,\" said Pooh, nodding to himself.\n\"Well, good-bye. I must be going on.\"\n\"\"\nSo he started to climb out of the hole. He pulled\nwith his front paws, and pushed with his back paws,\nand in a little while his nose was out in the open\nagain... and then his ears . . . and then his front\npaws... and then his shoulders... and then--\n25\n\"Oh, help!\" said Pooh. \"I'd better go back.\"\n\"Oh, bother!\" said Pooh. \"I shall have to go on.\"\n\"I can't do either!\" said Pooh. \"Oh, help and\nbother!\"\nNow by this time Rabbit wanted to go for a\nwalk too, and finding the front door full, he went.\nDigitized by Google\n26\nWINNIE-THE-POOH\nout by the back door, and came round to Pooh, and\nlooked at him.\n\"Hallo, are you stuck?\" he asked.\ndo\n\"N-no,\" said Pooh carelessly. \"Just resting and\nthinking and humming to myself.\"\n\"Here, give us a paw.\"\nPooh Bear stretched out a paw, and Rabbit pulled\nand pulled and pulled. ...\n\"Ow!\" cried Pooh. \"You're hurting!\"\n\"The fact is,\" said Rabbit, \"you're stuck.\"\n\"It all comes,\" said Pooh crossly, \"of not having\nfront doors big enough.\"\n\"It all comes,\" said Rabbit sternly, \"of eating too\nmuch. I thought at the time,\" said Rabbit, \"only I\nDigitized by\nGoogle\n27\nPOOH GOES VISITING\ndidn't like to say anything,\" said Rabbit, \"that one\nof us was eating too much,\" said Rabbit, \"and I\nknew it wasn't me,\" he said. \"Well, well, I shall go\nand fetch Christopher Robin.\"\nChristopher Robin lived at the other end of the\nForest, and when he came back with Rabbit, and\nsaw the front half of Pooh, he said, \"Silly old Bear,\"\nin such a loving voice that everybody felt quite\nhopeful again.\n\"I was just beginning to think,\" said Bear, sniffing\nslightly, \"that Rabbit might never be able to use his\nfront door again. And I should hate that,\" he said.\n\"So should I,\" said Rabbit.\n\"Use his front door again?\" said Christopher\nRobin. \"Of course he'll use his front door again.\"\n\"Good,\" said Rabbit.\n\"If we can't pull you out, Pooh, we might push\nyou back.\"\nRabbit scratched his whiskers thoughtfully,, and\npointed out that, when once Pooh was pushed\nback, he was back, and of course nobody was more\nglad to see Pooh than he was, still there it was, some\nlived in trees and some lived underground, and-\n\"You mean I'd never get out?\" said Pooh.\n\"I mean,\" said Rabbit, “that having got so far, it\nseems a pity to waste it.\"\nChristopher Robin nodded.\n\"Then there's only one thing to be done,” he said.\n\"We shall have to wait for you to get thin again.\"\nDigitized by\nGoogle\n"}
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+++ b/tests/unit/resources/missing_shard/Winnie_the_Pooh_50_Pages-3.json
@@ -0,0 +1 @@
+{"pages":[{"layout":{"boundingPoly":{"normalizedVertices":[{},{"x":1},{"x":1,"y":1},{"y":1}],"vertices":[{},{"x":1586},{"x":1586,"y":2521},{"y":2521}]},"confidence":0.98529071,"orientation":"PAGE_UP","textAnchor":{"textSegments":[{"endIndex":"245"}]}},"pageNumber":11},{"layout":{"boundingPoly":{"normalizedVertices":[{},{"x":1},{"x":1,"y":1},{"y":1}],"vertices":[{},{"x":1591},{"x":1591,"y":2513},{"y":2513}]},"confidence":0.82016128,"orientation":"PAGE_UP","textAnchor":{"textSegments":[{"endIndex":"499","startIndex":"245"}]}},"pageNumber":12},{"layout":{"boundingPoly":{"normalizedVertices":[{},{"x":1},{"x":1,"y":1},{"y":1}],"vertices":[{},{"x":1588},{"x":1588,"y":2518},{"y":2518}]},"confidence":0.98127097,"orientation":"PAGE_UP","textAnchor":{"textSegments":[{"endIndex":"1174","startIndex":"499"}]}},"pageNumber":13},{"layout":{"boundingPoly":{"normalizedVertices":[{},{"x":1},{"x":1,"y":1},{"y":1}],"vertices":[{},{"x":1593},{"x":1593,"y":2510},{"y":2510}]},"confidence":0.98316687,"orientation":"PAGE_UP","textAnchor":{"textSegments":[{"endIndex":"2297","startIndex":"1174"}]}},"pageNumber":14},{"layout":{"boundingPoly":{"normalizedVertices":[{},{"x":1},{"x":1,"y":1},{"y":1}],"vertices":[{},{"x":1592},{"x":1592,"y":2511},{"y":2511}]},"confidence":0.94795507,"orientation":"PAGE_UP","textAnchor":{"textSegments":[{"endIndex":"3288","startIndex":"2297"}]}},"pageNumber":15},{"layout":{"boundingPoly":{"normalizedVertices":[{},{"x":1},{"x":1,"y":1},{"y":1}],"vertices":[{},{"x":1604},{"x":1604,"y":2492},{"y":2492}]},"confidence":0.97641647,"orientation":"PAGE_UP","textAnchor":{"textSegments":[{"endIndex":"3962","startIndex":"3288"}]}},"pageNumber":16},{"layout":{"boundingPoly":{"normalizedVertices":[{},{"x":1},{"x":1,"y":1},{"y":1}],"vertices":[{},{"x":1586},{"x":1586,"y":2520},{"y":2520}]},"confidence":0.97984999,"orientation":"PAGE_UP","textAnchor":{"textSegments":[{"endIndex":"4847","startIndex":"3962"}]}},"pageNumber":17},{"layout":{"boundingPoly":{"normalizedVertices":[{},{"x":1},{"x":1,"y":1},{"y":1}],"vertices":[{},{"x":1593},{"x":1593,"y":2509},{"y":2509}]},"confidence":0.98226541,"orientation":"PAGE_UP","textAnchor":{"textSegments":[{"endIndex":"5269","startIndex":"4847"}]}},"pageNumber":18},{"layout":{"boundingPoly":{"normalizedVertices":[{},{"x":1},{"x":1,"y":1},{"y":1}],"vertices":[{},{"x":1587},{"x":1587,"y":2519},{"y":2519}]},"confidence":0.97736621,"orientation":"PAGE_UP","textAnchor":{"textSegments":[{"endIndex":"6175","startIndex":"5269"}]}},"pageNumber":19},{"layout":{"boundingPoly":{"normalizedVertices":[{},{"x":1},{"x":1,"y":1},{"y":1}],"vertices":[{},{"x":1590},{"x":1590,"y":2514},{"y":2514}]},"confidence":0.97455043,"orientation":"PAGE_UP","textAnchor":{"textSegments":[{"endIndex":"6527","startIndex":"6175"}]}},"pageNumber":20}],"shardInfo":{"shardCount":"5","shardIndex":"1","textOffset":"7105"},"text":"WINNIE-THE-POOH\n(\"Was that me?\" said Christopher Robin in an\nawed voice, hardly daring to believe it.\n\"That was you.\"\n8\nChristopher Robin said nothing, but his eyes got\nlarger and larger, and his face got pinker and\npinker.)\nDigitized by\nGoogle\nWE ARE INTRODUCED\n9\nSo Winnie-the-Pooh went round to his friend\nChristopher Robin, who lived behind a green door\nin another part of the forest.\n\"Good morning, Christopher Robin,\" he said.\n\"Good morning, Winnie-ther-Pooh,\" said you.\nH\nDigitized by\nGoogle\n10\nWINNIE-THE-POOH\n\"I wonder if you've got such a thing as a balloon\nabout you?\"\n\"A balloon?\"\n\"Yes, I just said to myself coming along: 'I won-\nder if Christopher Robin has such a thing as a bal-\nloon about him?' I just said it to myself, thinking of\nballoons, and wondering.\"\n\"What do you want a balloon for?\" you said.\nWinnie-the-Pooh looked round to see that no-\nbody was listening, put his paw to his mouth, and\nsaid in a deep whisper: \"Honey!\"\n\"But you don't get honey with balloons!\"\n\"I do,\" said Pooh.\nWell, it just happened that you had been to a\nparty the day before at the house of your friend\nPiglet, and you had balloons at the party. You had\nDigitized by\nGoogle\nWE ARE INTRODUCED\nII\nhad a big green balloon; and one of Rabbit's rela-\ntions had had a big blue one, and had left it behind,\nbeing really too young to go to a party at all; and\nso you had brought the green one and the blue one\nhome with you.\n\"Which one would you like?\" you asked Pooh.\nHe put his head between his paws and thought\nvery carefully.\n\"It's like this,\" he said. \"When you go after honey\nwith a balloon, the great thing is not to let the bees\nknow you're coming. Now, if you have a green\nballoon, they might think you were only part of\nthe tree, and not notice you, and if you have a blue\nballoon, they might think you were only part of\nthe sky, and not notice you, and the question is:\nWhich is most likely?\"\n\"Wouldn't they notice you underneath the bal-\nloon?\"\nyou asked.\n\"They might or they might not,\" said Winnie-\nthe-Pooh. \"You never can tell with bees.\" He\nthought for a moment and said: \"I shall try to look\nlike a small black cloud. That will deceive them.\"\nThen you had better have the blue balloon,\" you\nsaid; and so it was decided.\nWell, you both went out with the blue balloon,\nDigitized by\nGoogle\n12\nWINNIE-THE-POOH\nand you took your gun with you, just in case, as\nyou always did, and Winnie-the-Pooh went to a\nvery muddy place that he knew of, and rolled and\nrolled until he was black all over; and then, when\nthe balloon was blown up as big as big, and\nyou and\nPooh were both holding on to the string, you let\ngo suddenly, and Pooh Bear floated gracefully up\ninto the sky, and stayed there-level with the top of\nthe tree and about twenty feet away from it.\n\"Hooray!\" you shouted.\n\"Isn't that fine?\" shouted Winnie-the-Pooh down\n\"What do I look like?\"\nto\nyou.\n\"You look like a Bear holding on to a balloon,\"\nYou said.\n\"Not,\" said Pooh anxiously, \"-not like a small\nblack cloud in a blue sky?\"\n\"Not very much.\"\n*Ah, well, perhaps from up here it looks different.\nAnd, as I say, you never can tell with bees.\"\nThere was no wind to blow him nearer to the\ntree, so there he stayed. He could see the honey, he\ncould smell the honey, but he couldn't quite reach\nthe honey.\nDigitized by\nGoogle\nWE ARE INTRODUCED\nAfter a little while he called down to you.\n\"Christopher Robin!\" he said in a loud whisper.\n\"Hallo!\"\n\"I think the bees suspect something!\"\n\"What sort of thing?\"\n\"I don't know. But something tells me that they're\nsuspicious!\"\n\"Perhaps they think that you're after their honey.\"\n\"It may be that. You never can tell with bees.\"\nThere was another little silence, and then he called\ndown to you again.\n\"Christopher Robin!\"\n\"Yes?\"\n“Have you an umbrella in your house?\"\n\"I think so.\"\n13\n\"I wish you would bring it out here, and walk up\nand down with it, and look up at me every now and\nthen, and say 'Tut-tut, it looks like rain.' I think, if\nDigitized by\nGoogle\n14\nyou did that, it would help the deception which we\nare practising on these bees.\"\nWINNIE-THE-POOH\nWell, you laughed to yourself, \"Silly old Bear!\"\nbut didn't say\nyou\nit aloud because you were so\nfond of him, and you went home for your umbrella.\n\"Oh, there you are!\" called down Winnie-the-\nPooh, as soon as you got back to the tree. \"I was\nbeginning to get anxious. I have discovered that the\nbees are now definitely Suspicious.\"\n\"Shall I put my umbrella up?\" you said.\n\"Yes, but wait a moment. We must be practical.\nThe important bee to deceive is the Queen Bee.\nCan you see which is the Queen Bee from down\nthere?\"\n\"No.\"\n\"A pity. Well, now, if you walk up and down\nwith your umbrella, saying, 'Tut-tut, it looks like\nrain,' I shall do what I can by singing a little Cloud\nSong, such as a cloud might sing.... Go!\"\nSo, while you walked up and down and wondered\nDigitized by\nGoogle\nWE ARE INTRODUCED\n15\nif it would rain, Winnie-the-Pooh sang this song:\nHow sweet to be a Cloud\nFloating in the Blue!\nEvery little cloud\nAlways sings aloud.\n\"How sweet to be a Cloud\nFloating in the Blue!\"\nIt makes him very proud\nTo be a little cloud.\nThe bees were still buzzing as suspiciously as\never. Some of them, indeed, left their nest and flew\nall round the cloud as it began the second verse of\nDigitized by\nGoogle\n16\nWINNIE-THE-POOH\nthis song, and one bee sat down on the nose of the\ncloud for a moment, and then got up again.\n\"Christopher-ow!-Robin,\"\ncalled out the cloud.\n\"Yes?\"\n\"I have just been thinking, and I have come to a\nvery important decision. These are the wrong sort\nof bees.\"\n\"Are they?\"\n\"Quite the wrong sort. So I should think they\nwould make the wrong sort of honey, shouldn't\nyou?\"\n\"Would they?\"\n\"Yes. So I think I shall come down.\"\n\"How?\" asked you.\nlet\nWinnie-the-Pooh hadn't thought about this. If he\ngo of the string, he would fall-bump-and he\ndidn't like the idea of that. So he thought for a long\ntime, and then he said:\n\"Christopher Robin, you must shoot the balloon\nwith your gun. Have you got your gun?\"\n\"Of course I have,\" you said. \"But if I do that, it\nwill spoil the balloon,” you said.\n\"But if you don't,\" said Pooh, \"I shall have to let\ngo, and that would spoil me.\"\nDigitized by\nGoogle\nWE ARE INTRODUCED\nWhen he put it like this, you saw how it was,\nand you aimed very carefully at the balloon, and\nfired.\n17\n\"Ow!\" said Pooh.\n\"Did I miss?\" you asked.\n\"You didn't exactly miss,\" said Pooh, \"but you\nmissed the balloon.”\n\"I'm so sorry,\" you said, and you fired again, and\nthis time you hit the balloon, and the air came\nDigitized by\nGoogle\n"}
\ No newline at end of file
diff --git a/tests/unit/resources/missing_shard/Winnie_the_Pooh_50_Pages-4.json b/tests/unit/resources/missing_shard/Winnie_the_Pooh_50_Pages-4.json
new file mode 100644
index 00000000..373e4c9a
--- /dev/null
+++ b/tests/unit/resources/missing_shard/Winnie_the_Pooh_50_Pages-4.json
@@ -0,0 +1 @@
+{"pages":[{"layout":{"boundingPoly":{"normalizedVertices":[{},{"x":1},{"x":1,"y":1},{"y":1}],"vertices":[{},{"x":1602},{"x":1602,"y":2496},{"y":2496}]},"confidence":0.98292428,"orientation":"PAGE_UP","textAnchor":{"textSegments":[{"endIndex":"1045"}]}},"pageNumber":31},{"layout":{"boundingPoly":{"normalizedVertices":[{},{"x":1},{"x":1,"y":1},{"y":1}],"vertices":[{},{"x":1591},{"x":1591,"y":2512},{"y":2512}]},"confidence":0.86585504,"orientation":"PAGE_UP","textAnchor":{"textSegments":[{"endIndex":"1271","startIndex":"1045"}]}},"pageNumber":32},{"layout":{"boundingPoly":{"normalizedVertices":[{},{"x":1},{"x":1,"y":1},{"y":1}],"vertices":[{},{"x":1594},{"x":1594,"y":2509},{"y":2509}]},"confidence":0.85440701,"orientation":"PAGE_UP","textAnchor":{"textSegments":[{"endIndex":"1640","startIndex":"1271"}]}},"pageNumber":33},{"layout":{"boundingPoly":{"normalizedVertices":[{},{"x":1},{"x":1,"y":1},{"y":1}],"vertices":[{},{"x":1613},{"x":1613,"y":2479},{"y":2479}]},"confidence":0.78438234,"orientation":"PAGE_UP","textAnchor":{"textSegments":[{"endIndex":"2049","startIndex":"1640"}]}},"pageNumber":34},{"layout":{"boundingPoly":{"normalizedVertices":[{},{"x":1},{"x":1,"y":1},{"y":1}],"vertices":[{},{"x":1601},{"x":1601,"y":2498},{"y":2498}]},"confidence":0.96820927,"orientation":"PAGE_UP","textAnchor":{"textSegments":[{"endIndex":"2917","startIndex":"2049"}]}},"pageNumber":35},{"layout":{"boundingPoly":{"normalizedVertices":[{},{"x":1},{"x":1,"y":1},{"y":1}],"vertices":[{},{"x":1601},{"x":1601,"y":2496},{"y":2496}]},"confidence":0.96317434,"orientation":"PAGE_UP","textAnchor":{"textSegments":[{"endIndex":"3222","startIndex":"2917"}]}},"pageNumber":36},{"layout":{"boundingPoly":{"normalizedVertices":[{},{"x":1},{"x":1,"y":1},{"y":1}],"vertices":[{},{"x":1605},{"x":1605,"y":2491},{"y":2491}]},"confidence":0.82596785,"orientation":"PAGE_UP","textAnchor":{"textSegments":[{"endIndex":"3903","startIndex":"3222"}]}},"pageNumber":37},{"layout":{"boundingPoly":{"normalizedVertices":[{},{"x":1},{"x":1,"y":1},{"y":1}],"vertices":[{},{"x":1607},{"x":1607,"y":2488},{"y":2488}]},"confidence":0.71312118,"orientation":"PAGE_UP","textAnchor":{"textSegments":[{"endIndex":"4071","startIndex":"3903"}]}},"pageNumber":38},{"layout":{"boundingPoly":{"normalizedVertices":[{},{"x":1},{"x":1,"y":1},{"y":1}],"vertices":[{},{"x":1598},{"x":1598,"y":2501},{"y":2501}]},"confidence":0.98653054,"orientation":"PAGE_UP","textAnchor":{"textSegments":[{"endIndex":"5343","startIndex":"4071"}]}},"pageNumber":39},{"layout":{"boundingPoly":{"normalizedVertices":[{},{"x":1},{"x":1,"y":1},{"y":1}],"vertices":[{},{"x":1606},{"x":1606,"y":2489},{"y":2489}]},"confidence":0.98035669,"orientation":"PAGE_UP","textAnchor":{"textSegments":[{"endIndex":"6021","startIndex":"5343"}]}},"pageNumber":40}],"shardInfo":{"shardCount":"5","shardIndex":"3","textOffset":"21680"},"text":"28\nWINNIE-THE-POOH\n\"How long does getting thin take?\" asked Pooh\nanxiously.\n\"About a week, I should think.\"\n\"But I can't stay here for a week!\"\n\"You can stay here all right, silly old Bear. It's\ngetting you out which is so difficult.\"\n\"We'll read to you,\" said Rabbit cheerfully. \"And\nI hope it won't snow,” he added. “And I say, old\nfellow, you're taking up a good deal of room in my\nhouse-do you mind if I use your back legs as a\ntowel-horse? Because, I mean, there they are-doing\nnothing-and it would be very convenient just to\nhang the towels on them.\"\n\"A week!\" said Pooh gloomily. \"What about\nmeals?\"\n\"I'm afraid no meals,\" said Christopher Robin,\n\"because of getting thin quicker. But we will read\nto you.\"\nBear began to sigh, and then found he couldn't\nbecause he was so tightly stuck; and a tear rolled\ndown his eye, as he said:\n\"Then would you read a Sustaining Book, such as\nwould help and comfort a Wedged Bear in Great\nTightness?\"\nSo for a week Christopher Robin read that sort\nof book at the North end of Pooh,\nDigitized by\nGoogle\nPOOH GOES VISITING\nand Rabbit\nرمه\nEle\nhung his washing on the South end... and in be-\ntween Bear felt himself getting slenderer and slen-\nderer. And at the end of the week Christopher\nRobin said, \"Now!\"\nDigitized by\n29\nGoogle\n30\nIDL A\n4/4\nJU\nWINNIE-THE-POOH\nSo he took hold of Pooh's\nfront paws and Rabbit took\nhold of Christopher Robin,\nand all Rabbit's friends and\nrelations took hold of Rabbit,\nand they all pulled together.\nAnd for a long time Pooh\nonly said \"Ow!\" ..\nAnd \"Oh!\" ...\nAnd then, all of a sudden,\nhe said \"Pop!\" just as if a\ncork were coming out of a\nbottle.\nDigitized by\nGoogle\nPOOH GOES VISITING\nAnd Christopher Robin and\nRabbit and all Rabbit's friends\nand relations went head-over-\nheels backwards... and on the\ntop of them came Winnie-the-\nPooh-free!\nSo, with a nod of thanks to\nhis friends, he went on with\nhis walk through the forest,\nhumming proudly to himself.\nBut, Christopher Robin looked\nafter him lovingly, and said to\nhimself, \"Silly old Bear!\"\nDigitized by\nGoogle\n31\nR\n*\na\nCHAPTER III\nIN WHICH Pooh and Piglet Go Hunting\nand Nearly Catch a Woozle\nT\n.HE PIGLET lived in a very grand\nhouse in the middle of a beech-tree, and the beech-\ntree was in the middle of the forest, and the Piglet\nlived in the middle of the house. Next to his house\nwas a piece of broken board which had: \"TRES-\nPASSERS W” on it. When Christopher Robin\nasked the Piglet what it meant, he said it was his\ngrandfather's name, and had been in the family for\na long time. Christopher Robin said you couldn't\nbe called Trespassers W, and Piglet said yes, you\ncould, because his grandfather was, and it was short\nfor Trespassers Will, which was short of Tres-\npassers William. And his grandfather had had two\nnames in case he lost one-Trespassers after an\nuncle, and William after Trespassers.\n\"I've got two names,\" said Christopher Robin\ncarelessly.\n32\nDigitized by\nGoogle\nPOOH AND PIGLET HUNT\nTRESPASSERS\nWH\n\"Well, there you are, that proves it,\" said Piglet.\nOne fine winter's day when Piglet was brushing\naway the snow in front of his house, he happened\nto look up, and there was Winnie-the-Pooh. Pooh\nwas walking round and round in a circle, thinking\nDigitized by\n33\nGoogle\n34\nWINNIE-THE-POOH\nof something else, and when Piglet called to him, he\njust went on walking.\n\"Hallo!\" said Piglet, \"what are you doing?\"\n\"Hunting,\" said Pooh.\n\"Hunting what?\"\n\"Tracking something,\" said Winnie-the-Pooh very\nmysteriously.\n\"Tracking what?\" said Piglet, coming closer.\n\"That's just what I ask myself. I ask myself,\nWhat?\"\nWhat do you think you'll answer?\"\n\"I shall have to wait until I catch up with it,\" said\nWinnie-the-Pooh. \"Now, look there.\" He pointed\n10/04.\nMalinska\nto the ground in front of him. \"What do you see\nthere?\"\n\"Tracks,\" said Piglet. \"Paw-marks.\" He gave a\nlittle squeak of excitment. \"Oh, Pooh! Do you\nthink it's a-a-a Woozle?\"\nDigitized by\nGoogle\nOB\nThe\nFY\n£\nPOOH AND PIGLET HUNT\n4.0\nDigitized by\n35\n\"It may be,\" said Pooh. \"Sometimes it is, and\nsometimes it isn't. You never can tell with paw-\nmarks.\"\nGoogle\ntale\n36\nWINNIE-THE-POOH\nWith these few words he went on tracking, and\nPiglet, after watching him for a minute or two, ran\nafter him. Winnie-the-Pooh had come to a sudden\nstop, and was bending over the tracks in a puzzled\nsort of way.\n\"What's the matter?\" asked Piglet.\n\"It's a very funny thing,\" said Bear, “but there\nseem to be two animals now. This-whatever-it-was\n-has been joined by another-whatever-it-is-and\nthe two of them are now proceeding in company.\nWould you mind coming with me, Piglet, in case\nthey turn out to be Hostile Animals?\"\nPiglet scratched his ear in a nice sort of way, and\nsaid that he had nothing to do until Friday, and\nwould be delighted to come, in case it really was a\nWoozle.\n\"You mean, in case it really is two Woozles,\" said\nWinnie-the-Pooh, and Piglet said that anyhow he\nhad nothing to do until Friday. So off they went\ntogether.\nThere was a small spinney of larch trees just\nhere, and it seemed as if the two Woozles, if that is\nwhat they were, had been going round this spin-\nney; so round this spinney went Pooh and Piglet\nafter them; Piglet passing the time by telling Pooh\nwhat his Grandfather Trespassers W had done to\nRemove Stiffness after Tracking, and how his\nGrandfather Trespassers W had suffered in his later\nDigitized by\nGoogle\nPOOH AND PIGLET HUNT\n37\nyears from Shortness of Breath, and other matters\nof interest, and Pooh wondering what a Grand-\nfather was like, and if perhaps this was Two Grand-\nfathers they were after now, and, if so, whether he\nwould be allowed to take one home and keep it,\nand what Christopher Robin would say. And still\nthe tracks went on in front of them....\nSuddenly Winnie-the-Pooh stopped, and pointed\nexcitedly in front of him. \"Look!\"\n\"What?\" said Piglet, with a jump. And then, to\nshow that he hadn't been frightened, he jumped up\nand down once or twice in an exercising sort of\nway.\n\"The tracks!\" said Pooh. “A third animal has\njoined the other two!”\nDigitized by\nGoogle\n"}
\ No newline at end of file
diff --git a/tests/unit/test_document.py b/tests/unit/test_document.py
index 7839f4e0..5c718e76 100644
--- a/tests/unit/test_document.py
+++ b/tests/unit/test_document.py
@@ -91,6 +91,20 @@ def get_bytes_images_mock():
         yield byte_factory
 
 
+@pytest.fixture
+def get_bytes_empty_directory_mock():
+    with mock.patch.object(gcs_utilities, "get_bytes") as byte_factory:
+        byte_factory.return_value = get_bytes("tests/unit/resources/fake_directory")
+        yield byte_factory
+
+
+@pytest.fixture
+def get_bytes_missing_shard_mock():
+    with mock.patch.object(gcs_utilities, "get_bytes") as byte_factory:
+        byte_factory.return_value = get_bytes("tests/unit/resources/missing_shard")
+        yield byte_factory
+
+
 def test_get_shards_with_gcs_uri_contains_file_type():
     with pytest.raises(ValueError, match="gcs_prefix cannot contain file types"):
         document._get_shards(
@@ -109,6 +123,27 @@ def test_get_shards_with_valid_gcs_uri(get_bytes_single_file_mock):
     assert actual[0].pages[0].page_number == 1
 
 
+def test_get_shards_with_no_shards(get_bytes_empty_directory_mock):
+    with pytest.raises(ValueError, match="Incomplete Document - No JSON files found."):
+        document._get_shards(
+            gcs_bucket_name="test-directory",
+            gcs_prefix="documentai/output/123456789/0/",
+        )
+        get_bytes_empty_directory_mock.assert_called_once()
+
+
+def test_get_shards_with_missing_shard(get_bytes_missing_shard_mock):
+    with pytest.raises(
+        ValueError,
+        match=r"Invalid Document - shardInfo\.shardCount",
+    ):
+        document._get_shards(
+            gcs_bucket_name="test-directory",
+            gcs_prefix="documentai/output/123456789/0/",
+        )
+        get_bytes_missing_shard_mock.assert_called_once()
+
+
 def test_pages_from_shards():
     shards = []
     for byte in get_bytes("tests/unit/resources/0"):
@@ -118,7 +153,7 @@ def test_pages_from_shards():
     assert len(actual[0].paragraphs) == 31
 
     for page_index, page in enumerate(actual):
-        assert page.documentai_page.page_number == page_index + 1
+        assert page.page_number == page_index + 1
 
 
 def test_entities_from_shard():
@@ -169,6 +204,44 @@ def test_get_batch_process_metadata_with_valid_operation(
     mock_docai.BatchProcessMetadata.deserialize.assert_called()
 
 
+@mock.patch("google.cloud.documentai_toolbox.wrappers.document.documentai")
+def test_get_batch_process_metadata_with_running_operation(
+    mock_docai,
+):
+    mock_client = mock_docai.DocumentProcessorServiceClient.return_value
+
+    metadata = documentai.BatchProcessMetadata(
+        state=documentai.BatchProcessMetadata.State.SUCCEEDED,
+        individual_process_statuses=[
+            documentai.BatchProcessMetadata.IndividualProcessStatus(
+                input_gcs_source="gs://test-directory/documentai/input.pdf",
+                output_gcs_destination="gs://test-directory/documentai/output/123456789/1/",
+            )
+        ],
+    )
+
+    mock_operation_running = mock.Mock(done=False)
+    mock_operation_finished = mock.Mock(
+        done=True,
+        metadata=mock.Mock(
+            type_url="type.googleapis.com/google.cloud.documentai.v1.BatchProcessMetadata",
+            value=documentai.BatchProcessMetadata.serialize(metadata),
+        ),
+    )
+
+    mock_client.get_operation.side_effect = [
+        mock_operation_running,
+        mock_operation_finished,
+    ]
+
+    location = "us"
+    operation_name = "projects/123456/locations/us/operations/7890123"
+    document._get_batch_process_metadata(location, operation_name)
+
+    mock_client.get_operation.assert_called()
+    mock_docai.BatchProcessMetadata.deserialize.assert_called()
+
+
 @mock.patch("google.cloud.documentai_toolbox.wrappers.document.documentai")
 def test_get_batch_process_metadata_with_no_metadata(mock_docai):
     with pytest.raises(
@@ -269,7 +342,7 @@ def test_document_from_gcs_with_unordered_shards(get_bytes_unordered_files_mock)
         current_text_offset += len(shard.text)
 
     for page_index, page in enumerate(actual.pages):
-        assert page.documentai_page.page_number == page_index + 1
+        assert page.page_number == page_index + 1
 
 
 def test_document_from_batch_process_metadata_with_multiple_input_files(
diff --git a/tests/unit/test_entity.py b/tests/unit/test_entity.py
index 07371f14..b6258fc9 100644
--- a/tests/unit/test_entity.py
+++ b/tests/unit/test_entity.py
@@ -70,8 +70,37 @@ def test_Entity_splitter():
     assert wrapper_entity.end_page == 2
 
 
+def test_Entity_with_page_offset():
+    documentai_entity = documentai.Document.Entity(
+        type_="invoice_statement",
+        page_anchor=documentai.Document.PageAnchor(
+            page_refs=[
+                # page field is empty when its value is 0
+                documentai.Document.PageAnchor.PageRef(),
+                documentai.Document.PageAnchor.PageRef(page=1),
+                documentai.Document.PageAnchor.PageRef(page=2),
+            ]
+        ),
+    )
+
+    wrapper_entity = entity.Entity(documentai_entity, page_offset=10)
+    assert wrapper_entity.start_page == 10
+    assert wrapper_entity.end_page == 12
+
+
 def test_crop_image(docproto):
     doc = document.Document.from_documentai_document(docproto)
-    doc.entities[0].crop_image(documentai_document=docproto)
+    actual = doc.entities[0].crop_image(documentai_page=docproto.pages[0])
+
+    assert actual
+
+
+def test_crop_image_without_page_image(docproto):
+    doc = document.Document.from_documentai_document(docproto)
+    del docproto.pages[0].image
 
-    assert doc.entities[0].image
+    with pytest.raises(
+        ValueError,
+        match="Document does not contain images.",
+    ):
+        doc.entities[0].crop_image(documentai_page=docproto.pages[0])
diff --git a/tests/unit/test_utilities.py b/tests/unit/test_gcs_utilities.py
similarity index 88%
rename from tests/unit/test_utilities.py
rename to tests/unit/test_gcs_utilities.py
index 4c003a8a..d86e5bec 100644
--- a/tests/unit/test_utilities.py
+++ b/tests/unit/test_gcs_utilities.py
@@ -345,6 +345,63 @@ def test_print_gcs_document_tree_with_more_than_5_document(mock_storage, capfd):
     )
 
 
+@mock.patch("google.cloud.documentai_toolbox.utilities.gcs_utilities.storage")
+def test_print_gcs_document_tree_with_multiple_directories(mock_storage, capfd):
+    client = mock_storage.Client.return_value
+
+    mock_bucket = mock.Mock()
+
+    client.Bucket.return_value = mock_bucket
+
+    blobs = [
+        storage.Blob(
+            name="gs://test-directory/documentai/output/123456789/0/test_shard1.json",
+            bucket="gs://test-directory/documentai/output/123456789/0",
+        ),
+        storage.Blob(
+            name="gs://test-directory/documentai/output/123456789/0/test_shard2.json",
+            bucket="gs://test-directory/documentai/output/123456789/0",
+        ),
+        storage.Blob(
+            name="gs://test-directory/documentai/output/123456789/1/test_shard3.json",
+            bucket="gs://test-directory/documentai/output/123456789/1",
+        ),
+        storage.Blob(
+            name="gs://test-directory/documentai/output/123456789/1/test_shard4.json",
+            bucket="gs://test-directory/documentai/output/123456789/1",
+        ),
+        storage.Blob(
+            name="gs://test-directory/documentai/output/123456789/1/test_shard5.json",
+            bucket="gs://test-directory/documentai/output/123456789/1",
+        ),
+        storage.Blob(
+            name="gs://test-directory/documentai/output/123456789/1/test_shard6.json",
+            bucket="gs://test-directory/documentai/output/123456789/1",
+        ),
+    ]
+    client.list_blobs.return_value = blobs
+
+    gcs_utilities.print_gcs_document_tree(
+        gcs_bucket_name="test-directory", gcs_prefix="documentai/output/123456789/"
+    )
+
+    mock_storage.Client.assert_called_once()
+
+    out, err = capfd.readouterr()
+    assert (
+        out
+        == """gs://test-directory/documentai/output/123456789/0
+├──test_shard1.json
+└──test_shard2.json
+
+gs://test-directory/documentai/output/123456789/1
+├──test_shard3.json
+├──test_shard4.json
+├──test_shard5.json
+└──test_shard6.json\n\n"""
+    )
+
+
 def test_print_gcs_document_tree_with_gcs_uri_contains_file_type():
     with pytest.raises(ValueError, match="gcs_prefix cannot contain file types"):
         gcs_utilities.print_gcs_document_tree(
diff --git a/tests/unit/test_page.py b/tests/unit/test_page.py
index 75915aae..c16f134e 100644
--- a/tests/unit/test_page.py
+++ b/tests/unit/test_page.py
@@ -39,85 +39,91 @@ def docproto_form_parser():
         return documentai.Document.from_json(f.read())
 
 
-def test_table_to_csv():
-    header_rows = [
-        ["This", "Is", "A", "Header", "Test"],
-        ["", "", "A", "Sub", "Header"],
-    ]
-    body_rows = [["This", "Is", "A", "Body", "Test"], ["1", "2", "3", "4", "5"]]
+def test_table_to_csv(docproto):
+    docproto_page = docproto.pages[0]
     table = page.Table(
-        documentai_table=None, header_rows=header_rows, body_rows=body_rows
+        documentai_table=docproto_page.tables[0], document_text=docproto.text
     )
+
     contents = table.to_csv()
 
     assert (
         contents
-        == """This,Is,A,Header,Test
-,,A,Sub,Header
-This,Is,A,Body,Test
-1,2,3,4,5
+        == """Item Description,Quantity,Price,Amount
+Tool A,500,$1.00,$500.00
+Service B,1,$900.00,$900.00
+Resource C,50,$12.00,$600.00
+,,Subtotal,$2000.00
+,,Tax,$140.00
+,,BALANCE DUE,$2140.00
 """
     )
 
 
-def test_table_to_csv_with_empty_body_rows():
-    header_rows = [["This", "Is", "A", "Header", "Test"]]
-    table = page.Table(documentai_table=None, header_rows=header_rows, body_rows=[])
+def test_table_to_csv_with_empty_body_rows(docproto):
+    docproto_page = docproto.pages[0]
+    table = page.Table(
+        documentai_table=docproto_page.tables[0], document_text=docproto.text
+    )
+    table.body_rows = None
 
     contents = table.to_csv()
 
     assert (
         contents
-        == """This,Is,A,Header,Test
+        == """Item Description,Quantity,Price,Amount
 """
     )
 
 
-def test_table_to_csv_with_empty_header_rows():
-    body_rows = [["This"], ["Is"], ["A"], ["Body"], ["Test"]]
-    table = page.Table(documentai_table=None, header_rows=[], body_rows=body_rows)
+def test_table_to_csv_with_empty_header_rows(docproto):
+    docproto_page = docproto.pages[0]
+    table = page.Table(
+        documentai_table=docproto_page.tables[0], document_text=docproto.text
+    )
+    table.header_rows = None
 
     contents = table.to_csv()
 
     assert (
         contents
-        == """""
-This
-Is
-A
-Body
-Test
+        == """,,,
+Tool A,500,$1.00,$500.00
+Service B,1,$900.00,$900.00
+Resource C,50,$12.00,$600.00
+,,Subtotal,$2000.00
+,,Tax,$140.00
+,,BALANCE DUE,$2140.00
 """
     )
 
 
-def test_table_to_csv_with_empty_header_rows_and_single_body():
-    body_rows = [["Body"]]
-    table = page.Table(documentai_table=None, header_rows=[], body_rows=body_rows)
+def test_table_to_csv_with_empty_header_rows_and_single_body(docproto):
+    docproto_page = docproto.pages[0]
+    table = page.Table(
+        documentai_table=docproto_page.tables[0], document_text=docproto.text
+    )
+    table.header_rows = []
+    table.body_rows = [[table.body_rows[0][0]]]
 
     contents = table.to_csv()
-
     assert (
         contents
         == """""
-Body
+Tool A
 """
     )
 
 
-def test_table_to_dataframe():
-    header_rows = [
-        ["This", "Is", "A", "Header", "Test"],
-        ["", "", "A", "Sub", "Header"],
-    ]
-    body_rows = [["This", "Is", "A", "Body", "Test"], ["1", "2", "3", "4", "5"]]
+def test_table_to_dataframe(docproto):
+    docproto_page = docproto.pages[0]
     table = page.Table(
-        documentai_table=None, header_rows=header_rows, body_rows=body_rows
+        documentai_table=docproto_page.tables[0], document_text=docproto.text
     )
     contents = table.to_dataframe()
 
-    assert len(contents.columns) == 5
-    assert len(contents.values) == 2
+    assert len(contents.columns) == 4
+    assert len(contents.values) == 6
 
 
 def test_trim_text():
@@ -127,16 +133,6 @@ def test_trim_text():
     assert output_text == "Sally Walker"
 
 
-def test_table_wrapper_from_documentai_table(docproto):
-    docproto_page = docproto.pages[0]
-
-    table = page._table_wrapper_from_documentai_table(
-        documentai_table=docproto_page.tables[0], text=docproto.text
-    )
-    assert len(table.body_rows) == 6
-    assert len(table.header_rows[0]) == 4
-
-
 def test_header_for_table_rows_from_documentai_table_rows(docproto):
     docproto_page = docproto.pages[0]
 
@@ -172,105 +168,67 @@ def test_text_from_element_with_layout(docproto):
     assert text == "Invoice\n"
 
 
-def test_get_blocks(docproto):
-    docproto_blocks = docproto.pages[0].blocks
-
-    blocks = page._get_blocks(blocks=docproto_blocks, text=docproto.text)
-
-    assert len(blocks) == 31
-    assert blocks[0].text == "Invoice\n"
-
-
-def test_get_paragraphs(docproto):
-    docproto_paragraphs = docproto.pages[0].paragraphs
-
-    paragraphs = page._get_paragraphs(
-        paragraphs=docproto_paragraphs, text=docproto.text
-    )
-
-    assert len(paragraphs) == 31
-    assert paragraphs[0].text == "Invoice\n"
-
-
-def test_get_lines(docproto):
-    docproto_lines = docproto.pages[0].lines
-
-    lines = page._get_lines(lines=docproto_lines, text=docproto.text)
-
-    assert len(lines) == 37
-    assert lines[36].text == "Supplies used for Project Q.\n"
-
-
-def test_get_form_fields(docproto_form_parser):
-    docproto_form_fields = docproto_form_parser.pages[0].form_fields
-
-    form_fields = page._get_form_fields(
-        form_fields=docproto_form_fields, text=docproto_form_parser.text
-    )
-
-    assert len(form_fields) == 17
-    assert form_fields[4].field_name == "Occupation:"
-    assert form_fields[4].field_value == "Software Engineer"
-
-
 # Class init Tests
 
 
-def test_FormField():
-    docai_form_field = documentai.Document.Page.FormField()
+def test_FormField(docproto_form_parser):
+    documentai_formfield = docproto_form_parser.pages[0].form_fields[4]
     form_field = page.FormField(
-        documentai_formfield=docai_form_field,
-        field_name="Name:",
-        field_value="Sally Walker",
+        documentai_formfield=documentai_formfield,
+        document_text=docproto_form_parser.text,
     )
-    assert form_field.field_name == "Name:"
-    assert form_field.field_value == "Sally Walker"
+
+    assert form_field.field_name == "Occupation:"
+    assert form_field.field_value == "Software Engineer"
 
 
-def test_Block():
-    docai_block = documentai.Document.Page.Block()
-    block = page.Block(documentai_block=docai_block, text="test_block")
+def test_Block(docproto):
+    docai_block = docproto.pages[0].blocks[0]
+    block = page.Block(documentai_block=docai_block, document_text=docproto.text)
 
-    assert block.text == "test_block"
+    assert block.text == "Invoice\n"
 
 
-def test_Paragraph():
-    docai_paragraph = documentai.Document.Page.Paragraph()
+def test_Paragraph(docproto):
+    docai_paragraph = docproto.pages[0].paragraphs[0]
     paragraph = page.Paragraph(
-        documentai_paragraph=docai_paragraph, text="test_paragraph"
+        documentai_paragraph=docai_paragraph, document_text=docproto.text
     )
 
-    assert paragraph.text == "test_paragraph"
+    assert paragraph.text == "Invoice\n"
 
 
-def test_Line():
-    docai_line = documentai.Document.Page.Line()
-    line = page.Line(documentai_line=docai_line, text="test_line")
+def test_Line(docproto):
+    docai_line = docproto.pages[0].lines[36]
+    line = page.Paragraph(documentai_paragraph=docai_line, document_text=docproto.text)
 
-    assert line.text == "test_line"
+    assert line.text == "Supplies used for Project Q.\n"
 
 
-def test_Table():
-    header_rows = [
-        ["This", "Is", "A", "Header", "Test"],
-        ["", "", "A", "Sub", "Header"],
-    ]
-    body_rows = [["This", "Is", "A", "Body", "Test"], ["1", "2", "3", "4", "5"]]
+def test_Table(docproto):
+    docproto_page = docproto.pages[0]
     table = page.Table(
-        documentai_table=None, header_rows=header_rows, body_rows=body_rows
+        documentai_table=docproto_page.tables[0], document_text=docproto.text
     )
 
-    assert len(table.body_rows) == 2
-    assert len(table.header_rows[0]) == 5
+    assert len(table.body_rows) == 6
+    assert len(table.header_rows[0]) == 4
 
 
 def test_Page(docproto):
     docproto_page = docproto.pages[0]
-    wrapped_page = page.Page(documentai_page=docproto_page, text=docproto.text)
+    wrapped_page = page.Page(documentai_page=docproto_page, document_text=docproto.text)
+
+    assert "Invoice" in wrapped_page.text
+    assert wrapped_page.page_number == 1
 
     assert len(wrapped_page.lines) == 37
     assert len(wrapped_page.paragraphs) == 31
     assert len(wrapped_page.blocks) == 31
+    assert len(wrapped_page.form_fields) == 13
+
     assert wrapped_page.lines[0].text == "Invoice\n"
     assert wrapped_page.paragraphs[30].text == "Supplies used for Project Q.\n"
     assert wrapped_page.blocks[30].text == "Supplies used for Project Q.\n"
+    assert wrapped_page.form_fields[0].field_name == "BALANCE DUE"
+    assert wrapped_page.form_fields[0].field_value == "$2140.00"

From ec4c88b304f92157cc2a9a24d45f604b6f92b137 Mon Sep 17 00:00:00 2001
From: Mend Renovate <bot@renovateapp.com>
Date: Mon, 26 Jun 2023 17:19:04 +0200
Subject: [PATCH 05/13] chore(deps): update all dependencies (#131)

Co-authored-by: Holt Skinner <13262395+holtskinner@users.noreply.github.com>
---
 samples/snippets/requirements-test.txt | 4 ++--
 samples/snippets/requirements.txt      | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/samples/snippets/requirements-test.txt b/samples/snippets/requirements-test.txt
index 014e025c..15170191 100644
--- a/samples/snippets/requirements-test.txt
+++ b/samples/snippets/requirements-test.txt
@@ -1,3 +1,3 @@
-pytest==7.3.2
+pytest==7.4.0
 mock==5.0.2
-google-cloud-bigquery==3.11.1
+google-cloud-bigquery==3.11.2
diff --git a/samples/snippets/requirements.txt b/samples/snippets/requirements.txt
index d7caa366..e1bd6a3d 100644
--- a/samples/snippets/requirements.txt
+++ b/samples/snippets/requirements.txt
@@ -1,4 +1,4 @@
-google-cloud-bigquery==3.11.1
+google-cloud-bigquery==3.11.2
 google-cloud-documentai==2.16.0
 google-cloud-storage==2.9.0
 google-cloud-documentai-toolbox==0.4.1a0

From 98fea64c056848f1a8f63ddd2d15fa308de98999 Mon Sep 17 00:00:00 2001
From: "gcf-owl-bot[bot]" <78513119+gcf-owl-bot[bot]@users.noreply.github.com>
Date: Tue, 27 Jun 2023 10:12:32 -0400
Subject: [PATCH 06/13] chore: remove pinned Sphinx version [autoapprove]
 (#133)

Source-Link: https://github.com/googleapis/synthtool/commit/909573ce9da2819eeb835909c795d29aea5c724e
Post-Processor: gcr.io/cloud-devrel-public-resources/owlbot-python:latest@sha256:ddf4551385d566771dc713090feb7b4c1164fb8a698fe52bbe7670b24236565b

Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>
---
 .github/.OwlBot.lock.yaml | 4 ++--
 noxfile.py                | 3 +--
 2 files changed, 3 insertions(+), 4 deletions(-)

diff --git a/.github/.OwlBot.lock.yaml b/.github/.OwlBot.lock.yaml
index 02a4dedc..1b3cb6c5 100644
--- a/.github/.OwlBot.lock.yaml
+++ b/.github/.OwlBot.lock.yaml
@@ -13,5 +13,5 @@
 # limitations under the License.
 docker:
   image: gcr.io/cloud-devrel-public-resources/owlbot-python:latest
-  digest: sha256:240b5bcc2bafd450912d2da2be15e62bc6de2cf839823ae4bf94d4f392b451dc
-# created: 2023-06-03T21:25:37.968717478Z
+  digest: sha256:ddf4551385d566771dc713090feb7b4c1164fb8a698fe52bbe7670b24236565b
+# created: 2023-06-27T13:04:21.96690344Z
diff --git a/noxfile.py b/noxfile.py
index 91a45415..e5a94ae2 100644
--- a/noxfile.py
+++ b/noxfile.py
@@ -304,10 +304,9 @@ def docfx(session):
 
     session.install("-e", ".")
     session.install(
-        "sphinx==4.0.1",
+        "gcp-sphinx-docfx-yaml",
         "alabaster",
         "recommonmark",
-        "gcp-sphinx-docfx-yaml",
     )
 
     shutil.rmtree(os.path.join("docs", "_build"), ignore_errors=True)

From 6faecec2a9e7c2df598228ce44b4f59a929d76bd Mon Sep 17 00:00:00 2001
From: Mend Renovate <bot@renovateapp.com>
Date: Tue, 27 Jun 2023 17:39:02 +0200
Subject: [PATCH 07/13] chore(deps): update dependency google-cloud-storage to
 v2.10.0 (#132)

Co-authored-by: Holt Skinner <13262395+holtskinner@users.noreply.github.com>
---
 samples/snippets/requirements.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/samples/snippets/requirements.txt b/samples/snippets/requirements.txt
index e1bd6a3d..b2aa5a6c 100644
--- a/samples/snippets/requirements.txt
+++ b/samples/snippets/requirements.txt
@@ -1,4 +1,4 @@
 google-cloud-bigquery==3.11.2
 google-cloud-documentai==2.16.0
-google-cloud-storage==2.9.0
+google-cloud-storage==2.10.0
 google-cloud-documentai-toolbox==0.4.1a0

From 554aeb06dcfaf38402a9a29039362318cda6c4f5 Mon Sep 17 00:00:00 2001
From: Mend Renovate <bot@renovateapp.com>
Date: Tue, 27 Jun 2023 23:55:24 +0200
Subject: [PATCH 08/13] chore(deps): update dependency google-cloud-bigquery to
 v3.11.3 (#134)

---
 samples/snippets/requirements-test.txt | 2 +-
 samples/snippets/requirements.txt      | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/samples/snippets/requirements-test.txt b/samples/snippets/requirements-test.txt
index 15170191..00495bcb 100644
--- a/samples/snippets/requirements-test.txt
+++ b/samples/snippets/requirements-test.txt
@@ -1,3 +1,3 @@
 pytest==7.4.0
 mock==5.0.2
-google-cloud-bigquery==3.11.2
+google-cloud-bigquery==3.11.3
diff --git a/samples/snippets/requirements.txt b/samples/snippets/requirements.txt
index b2aa5a6c..3d657cf5 100644
--- a/samples/snippets/requirements.txt
+++ b/samples/snippets/requirements.txt
@@ -1,4 +1,4 @@
-google-cloud-bigquery==3.11.2
+google-cloud-bigquery==3.11.3
 google-cloud-documentai==2.16.0
 google-cloud-storage==2.10.0
 google-cloud-documentai-toolbox==0.4.1a0

From 646ab6936c409617a0fef5c4d2203ece8ba62f2e Mon Sep 17 00:00:00 2001
From: "gcf-owl-bot[bot]" <78513119+gcf-owl-bot[bot]@users.noreply.github.com>
Date: Wed, 28 Jun 2023 12:30:51 -0500
Subject: [PATCH 09/13] chore: store artifacts in placer (#135)

Source-Link: https://github.com/googleapis/synthtool/commit/cb960373d12d20f8dc38beee2bf884d49627165e
Post-Processor: gcr.io/cloud-devrel-public-resources/owlbot-python:latest@sha256:2d816f26f728ac8b24248741e7d4c461c09764ef9f7be3684d557c9632e46dbd

Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>
---
 .github/.OwlBot.lock.yaml  | 4 ++--
 .kokoro/release/common.cfg | 9 +++++++++
 noxfile.py                 | 2 +-
 3 files changed, 12 insertions(+), 3 deletions(-)

diff --git a/.github/.OwlBot.lock.yaml b/.github/.OwlBot.lock.yaml
index 1b3cb6c5..98994f47 100644
--- a/.github/.OwlBot.lock.yaml
+++ b/.github/.OwlBot.lock.yaml
@@ -13,5 +13,5 @@
 # limitations under the License.
 docker:
   image: gcr.io/cloud-devrel-public-resources/owlbot-python:latest
-  digest: sha256:ddf4551385d566771dc713090feb7b4c1164fb8a698fe52bbe7670b24236565b
-# created: 2023-06-27T13:04:21.96690344Z
+  digest: sha256:2d816f26f728ac8b24248741e7d4c461c09764ef9f7be3684d557c9632e46dbd
+# created: 2023-06-28T17:03:33.371210701Z
diff --git a/.kokoro/release/common.cfg b/.kokoro/release/common.cfg
index eeab0176..14cfef09 100644
--- a/.kokoro/release/common.cfg
+++ b/.kokoro/release/common.cfg
@@ -38,3 +38,12 @@ env_vars: {
   key: "SECRET_MANAGER_KEYS"
   value: "releasetool-publish-reporter-app,releasetool-publish-reporter-googleapis-installation,releasetool-publish-reporter-pem"
 }
+
+# Store the packages we uploaded to PyPI.  That way, we have a record of exactly
+# what we published, which we can use to generate SBOMs and attestations.
+action {
+  define_artifacts {
+    regex: "github/python-documentai-toolbox/**/*.tar.gz"
+    strip_prefix: "github/python-documentai-toolbox"
+  }
+}
diff --git a/noxfile.py b/noxfile.py
index e5a94ae2..5ce165c6 100644
--- a/noxfile.py
+++ b/noxfile.py
@@ -378,6 +378,7 @@ def prerelease_deps(session):
         "grpcio!=1.52.0rc1",
         "grpcio-status",
         "google-api-core",
+        "google-auth",
         "proto-plus",
         "google-cloud-testutils",
         # dependencies of google-cloud-testutils"
@@ -390,7 +391,6 @@ def prerelease_deps(session):
     # Remaining dependencies
     other_deps = [
         "requests",
-        "google-auth",
     ]
     session.install(*other_deps)
 

From 87d2fc160db3d9d5c3306f7e607f148462747aec Mon Sep 17 00:00:00 2001
From: Gal Zahavi <38544478+galz10@users.noreply.github.com>
Date: Wed, 28 Jun 2023 15:46:45 -0700
Subject: [PATCH 10/13] feat: added hOCR export functionality (#123)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* chore: edit get_storage_client to add module name

* added module name to get_bytes

* fixed failing test

* chore: added hocr

* removed test files

* revised code per comments

* feat: added hOCR export functionality

* changed line_text to use line.text

* added tests

* fix lint failure

* revised code

* revise code

* refactored code

* refactored code

* expanded test_Page

* refactored code

* refactored code

* refactored code

* fix failing tests

* 🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

* refactored code

* 🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

* templated hocr file format

* refactored code

* fixed failing test

* 🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

---------

Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>
Co-authored-by: Holt Skinner <13262395+holtskinner@users.noreply.github.com>
---
 google/cloud/documentai_toolbox/constants.py  |    11 +
 .../converters/vision_helpers.py              |    27 +-
 .../documentai_toolbox/wrappers/document.py   |    30 +-
 .../cloud/documentai_toolbox/wrappers/page.py |   570 +-
 samples/snippets/test_export_images_sample.py |     3 +
 samples/snippets/test_split_pdf_sample.py     |     3 +
 setup.py                                      |     1 +
 templates/hocr_xml_template.txt               |    15 +
 .../resources/0/toolbox_invoice_test-0.json   | 13899 +++++++++++++++-
 .../resources/toolbox_invoice_test_0_hocr.xml |    89 +
 .../toolbox_invoice_test_page_hocr.xml        |    75 +
 tests/unit/test_document.py                   |    26 +-
 tests/unit/test_page.py                       |   195 +-
 13 files changed, 14775 insertions(+), 169 deletions(-)
 create mode 100644 templates/hocr_xml_template.txt
 create mode 100644 tests/unit/resources/toolbox_invoice_test_0_hocr.xml
 create mode 100644 tests/unit/resources/toolbox_invoice_test_page_hocr.xml

diff --git a/google/cloud/documentai_toolbox/constants.py b/google/cloud/documentai_toolbox/constants.py
index dbe28f68..4d195c3a 100644
--- a/google/cloud/documentai_toolbox/constants.py
+++ b/google/cloud/documentai_toolbox/constants.py
@@ -14,6 +14,9 @@
 # limitations under the License.
 #
 
+from typing import Union
+from google.cloud.documentai import Document
+
 USER_AGENT_PRODUCT = "documentai-toolbox"
 
 JSON_EXTENSION = ".json"
@@ -39,3 +42,11 @@
 }
 
 IMAGE_ENTITIES = {"Portrait"}
+
+ElementWithLayout = Union[
+    Document.Page.Paragraph,
+    Document.Page,
+    Document.Page.Token,
+    Document.Page.Block,
+    Document.Page.Symbol,
+]
diff --git a/google/cloud/documentai_toolbox/converters/vision_helpers.py b/google/cloud/documentai_toolbox/converters/vision_helpers.py
index 1e968abf..5ffebc89 100644
--- a/google/cloud/documentai_toolbox/converters/vision_helpers.py
+++ b/google/cloud/documentai_toolbox/converters/vision_helpers.py
@@ -16,12 +16,11 @@
 """Helper functions for docproto to vision conversion."""
 
 import dataclasses
-from typing import List, Union
+from typing import List
 
 import immutabledict
 
 from google.cloud.documentai import Document
-from google.cloud.vision_v1.types import geometry
 from google.cloud.vision import (
     EntityAnnotation,
     TextAnnotation,
@@ -35,6 +34,8 @@
 )
 from google.cloud import vision
 
+from google.cloud.documentai_toolbox.constants import ElementWithLayout
+
 
 _BREAK_TYPE_MAP = immutabledict.immutabledict(
     {
@@ -51,15 +52,6 @@
 )
 
 
-ElementWithLayout = Union[
-    Document.Page.Paragraph,
-    Document.Page,
-    Document.Page.Token,
-    Document.Page.Block,
-    Document.Page.Symbol,
-]
-
-
 @dataclasses.dataclass
 class PageInfo:
     page: Document.Page
@@ -254,7 +246,6 @@ def _generate_entity_annotations(
     entity_annotations: List[EntityAnnotation] = []
     for token in page_info.page.tokens:
         v: vision.Vertex = []
-        bounding_box = geometry.BoundingPoly()
         if token.layout.bounding_poly.vertices:
             for vertex in token.layout.bounding_poly.vertices:
                 v.append({"x": int(vertex.x), "y": int(vertex.y)})
@@ -266,7 +257,6 @@ def _generate_entity_annotations(
                         "y": int(normalized_vertex.y * page_info.page.dimension.height),
                     }
                 )
-        bounding_box = geometry.BoundingPoly(vertices=v)
 
         text_start_index = token.layout.text_anchor.text_segments[0].start_index
         text_end_index = token.layout.text_anchor.text_segments[0].end_index
@@ -277,12 +267,13 @@ def _generate_entity_annotations(
         ):
             text_end_index -= 1
 
-        entity_annotations.append(
-            EntityAnnotation(
-                description=page_info.text[text_start_index:text_end_index],
-                bounding_poly=bounding_box,
-            )
+        e = EntityAnnotation(
+            description=page_info.text[text_start_index:text_end_index]
         )
+
+        e.bounding_poly.vertices = v
+
+        entity_annotations.append(e)
     return entity_annotations
 
 
diff --git a/google/cloud/documentai_toolbox/wrappers/document.py b/google/cloud/documentai_toolbox/wrappers/document.py
index 48877c9a..6b5a13a4 100644
--- a/google/cloud/documentai_toolbox/wrappers/document.py
+++ b/google/cloud/documentai_toolbox/wrappers/document.py
@@ -43,6 +43,8 @@
 
 from pikepdf import Pdf
 
+from jinja2 import Environment, FileSystemLoader
+
 
 def _entities_from_shards(
     shards: List[documentai.Document],
@@ -86,7 +88,7 @@ def _pages_from_shards(shards: List[documentai.Document]) -> List[Page]:
     result = []
     for shard in shards:
         for shard_page in shard.pages:
-            result.append(Page(documentai_page=shard_page, document_text=shard.text))
+            result.append(Page(documentai_object=shard_page, document_text=shard.text))
 
     if len(result) > 1 and result[0].page_number:
         result.sort(key=lambda x: x.page_number)
@@ -755,7 +757,7 @@ def export_images(
         index = 0
         for entity in self.entities:
             image = entity.crop_image(
-                documentai_page=self.pages[entity.start_page].documentai_page
+                documentai_page=self.pages[entity.start_page].documentai_object
             )
             if not image:
                 continue
@@ -767,3 +769,27 @@ def export_images(
             index += 1
 
         return output_filenames
+
+    def export_hocr_str(self, title: str) -> str:
+        r"""Exports a string hOCR version of the Document.
+
+        Args:
+            title (str):
+                Required. The title for hocr_page and head.
+
+        Returns:
+            str:
+                A string hOCR version of the Document
+        """
+        environment = Environment(loader=FileSystemLoader("templates/"))
+        template = environment.get_template("hocr_xml_template.txt")
+        hocr_pages = ""
+        number_of_pages = len(self.pages)
+        for page_to_export in self.pages:
+            hocr_pages += page_to_export.to_hocr()
+
+        content = template.render(
+            hocr_pages=hocr_pages, number_of_pages=number_of_pages, title=title
+        )
+
+        return content
diff --git a/google/cloud/documentai_toolbox/wrappers/page.py b/google/cloud/documentai_toolbox/wrappers/page.py
index 27c1b2f6..f97d39e0 100644
--- a/google/cloud/documentai_toolbox/wrappers/page.py
+++ b/google/cloud/documentai_toolbox/wrappers/page.py
@@ -16,18 +16,28 @@
 """Wrappers for Document AI Page type."""
 
 import dataclasses
-from typing import List
+import html
+from typing import List, Optional, Tuple, Union
+
+from google.cloud.documentai_toolbox.constants import ElementWithLayout
 
 from google.cloud import documentai
 import pandas as pd
 
+ChildrenElements = Union[
+    List["Paragraph"],
+    List["Block"],
+    List["Token"],
+    List["Line"],
+]
+
 
 @dataclasses.dataclass
 class Table:
     """Represents a wrapped documentai.Document.Page.Table.
 
     Attributes:
-        documentai_table (google.cloud.documentai.Document.Page.Table):
+        documentai_object (google.cloud.documentai.Document.Page.Table):
             Required. The original google.cloud.documentai.Document.Page.Table object.
         document_text (str):
             Required. UTF-8 encoded text in reading order from the document.
@@ -37,7 +47,7 @@ class Table:
             Required. A list of header rows.
     """
 
-    documentai_table: documentai.Document.Page.Table = dataclasses.field(repr=False)
+    documentai_object: documentai.Document.Page.Table = dataclasses.field(repr=False)
     document_text: dataclasses.InitVar[str]
 
     body_rows: List[List[str]] = dataclasses.field(init=False, repr=False)
@@ -45,10 +55,10 @@ class Table:
 
     def __post_init__(self, document_text) -> None:
         self.header_rows = _table_rows_from_documentai_table_rows(
-            table_rows=list(self.documentai_table.header_rows), text=document_text
+            table_rows=list(self.documentai_object.header_rows), text=document_text
         )
         self.body_rows = _table_rows_from_documentai_table_rows(
-            table_rows=list(self.documentai_table.body_rows), text=document_text
+            table_rows=list(self.documentai_object.body_rows), text=document_text
         )
 
     def to_dataframe(self) -> pd.DataFrame:
@@ -103,49 +113,39 @@ def sample_table_to_csv():
 
 
 @dataclasses.dataclass
-class Block:
-    """Represents a wrapped documentai.Document.Page.Block.
+class Token:
+    """Represents a wrapped documentai.Document.Page.
+    .
 
     Attributes:
-        documentai_block (google.cloud.documentai.Document.Page.Block):
-            Required. The original google.cloud.documentai.Document.Page.Block object.
-        document_text (str):
-            Required. UTF-8 encoded text in reading order from the document.
-        text (str):
-            Required. UTF-8 encoded text of the block.
+        documentai_object (google.cloud.documentai.Document.Page.Token):
+            Required. The original google.cloud.documentai.Document.Page.Token object.
+        _page (Page):
+                    Required. The Page object.
     """
 
-    documentai_block: documentai.Document.Page.Block
-    document_text: dataclasses.InitVar[str]
-    text: str = dataclasses.field(init=False)
+    documentai_object: documentai.Document.Page.Token = dataclasses.field(default=None)
+    _page: "Page" = dataclasses.field(default=None)
 
-    def __post_init__(self, document_text) -> None:
-        self.text = _text_from_layout(
-            layout=self.documentai_block.layout, text=document_text
-        )
+    _text: Optional[str] = dataclasses.field(init=False, default=None)
+    _hocr_bounding_box: Optional[str] = dataclasses.field(init=False, default=None)
 
-
-@dataclasses.dataclass
-class Paragraph:
-    """Represents a wrapped documentai.Document.Page.Paragraph.
-
-    Attributes:
-        documentai_paragraph (google.cloud.documentai.Document.Page.Paragraph):
-            Required. The original google.cloud.documentai.Document.Page.Paragraph object.
-        document_text (str):
-            Required. UTF-8 encoded text in reading order from the document.
-        text (str):
-            Required. UTF-8 encoded text.
-    """
-
-    documentai_paragraph: documentai.Document.Page.Paragraph
-    document_text: dataclasses.InitVar[str]
-    text: str = dataclasses.field(init=False)
-
-    def __post_init__(self, document_text) -> None:
-        self.text = _text_from_layout(
-            layout=self.documentai_paragraph.layout, text=document_text
-        )
+    @property
+    def text(self):
+        if self._text is None:
+            self._text = _text_from_layout(
+                layout=self.documentai_object.layout, text=self._page.text
+            )
+        return self._text
+
+    @property
+    def hocr_bounding_box(self):
+        if self._hocr_bounding_box is None:
+            self._hocr_bounding_box = _get_hocr_bounding_box(
+                element_with_layout=self.documentai_object,
+                dimension=self._page.documentai_object.dimension,
+            )
+        return self._hocr_bounding_box
 
 
 @dataclasses.dataclass
@@ -153,30 +153,50 @@ class Line:
     """Represents a wrapped documentai.Document.Page.Line.
 
     Attributes:
-        documentai_line (google.cloud.documentai.Document.Page.Line):
+        documentai_object (google.cloud.documentai.Document.Page.Line):
             Required. The original google.cloud.documentai.Document.Page.Line object.
-        document_text (str):
-            Required. UTF-8 encoded text in reading order from the document.
-        text (str):
-            Required. UTF-8 encoded text.
+        _page (Page):
+            Required. The Page object.
     """
 
-    documentai_line: documentai.Document.Page.Line
-    document_text: dataclasses.InitVar[str]
-    text: str = dataclasses.field(init=False)
+    documentai_object: documentai.Document.Page.Line = dataclasses.field(repr=False)
+    _page: "Page" = dataclasses.field(repr=False)
 
-    def __post_init__(self, document_text) -> None:
-        self.text = _text_from_layout(
-            layout=self.documentai_line.layout, text=document_text
+    tokens: List[Token] = dataclasses.field(
+        init=False, repr=False, default_factory=list
+    )
+    _text: Optional[str] = dataclasses.field(init=False, default=None)
+    _hocr_bounding_box: Optional[str] = dataclasses.field(init=False, default=None)
+
+    def __post_init__(self):
+        self.tokens = _get_children_of_element(
+            self.documentai_object, self._page.tokens
         )
 
+    @property
+    def text(self):
+        if self._text is None:
+            self._text = _text_from_layout(
+                layout=self.documentai_object.layout, text=self._page.text
+            )
+        return self._text
+
+    @property
+    def hocr_bounding_box(self):
+        if self._hocr_bounding_box is None:
+            self._hocr_bounding_box = _get_hocr_bounding_box(
+                element_with_layout=self.documentai_object,
+                dimension=self._page.documentai_object.dimension,
+            )
+        return self._hocr_bounding_box
+
 
 @dataclasses.dataclass
 class FormField:
     """Represents a wrapped documentai.Document.Page.FormField.
 
     Attributes:
-        documentai_formfield (google.cloud.documentai.Document.Page.FormField):
+        documentai_object (google.cloud.documentai.Document.Page.FormField):
             Required. The original google.cloud.documentai.Document.Page.FormField object.
         document_text (str):
             Required. UTF-8 encoded text in reading order from the document.
@@ -186,7 +206,7 @@ class FormField:
             Required. The form field value
     """
 
-    documentai_formfield: documentai.Document.Page.FormField
+    documentai_object: documentai.Document.Page.FormField
     document_text: dataclasses.InitVar[str]
 
     field_name: str = dataclasses.field(init=False)
@@ -194,48 +214,93 @@ class FormField:
 
     def __post_init__(self, document_text) -> None:
         self.field_name = _trim_text(
-            _text_from_layout(self.documentai_formfield.field_name, document_text)
+            _text_from_layout(self.documentai_object.field_name, document_text)
         )
         self.field_value = _trim_text(
-            _text_from_layout(self.documentai_formfield.field_value, document_text)
+            _text_from_layout(self.documentai_object.field_value, document_text)
         )
 
 
-def _text_from_layout(layout: documentai.Document.Page.Layout, text: str) -> str:
-    r"""Returns a text from a single layout element.
-
-    Args:
-        layout (documentai.Document.Page.Layout):
-            Required. an element with layout fields.
-        text (str):
-            Required. UTF-8 encoded text in reading order
-            from the document.
+@dataclasses.dataclass
+class Paragraph:
+    """Represents a wrapped documentai.Document.Page.Paragraph.
 
-    Returns:
-        str:
-            Text from a single element.
+    Attributes:
+        documentai_object (google.cloud.documentai.Document.Page.Paragraph):
+            Required. The original google.cloud.documentai.Document.Page.Paragraph object.
+        _page (Page):
+            Required. The Page object.
     """
 
-    result_text = ""
+    documentai_object: documentai.Document.Page.Paragraph = dataclasses.field(
+        repr=False
+    )
+    _page: "Page" = dataclasses.field(repr=False)
 
-    for text_segment in layout.text_anchor.text_segments:
-        result_text += text[int(text_segment.start_index) : int(text_segment.end_index)]
+    lines: List[Line] = dataclasses.field(init=False, repr=False)
+    _text: Optional[str] = dataclasses.field(init=False, default=None)
+    _hocr_bounding_box: Optional[str] = dataclasses.field(init=False, default=None)
 
-    return result_text
+    def __post_init__(self):
+        self.lines = _get_children_of_element(self.documentai_object, self._page.lines)
 
+    @property
+    def text(self):
+        if self._text is None:
+            self._text = _text_from_layout(
+                layout=self.documentai_object.layout, text=self._page.text
+            )
+        return self._text
+
+    @property
+    def hocr_bounding_box(self):
+        if self._hocr_bounding_box is None:
+            self._hocr_bounding_box = _get_hocr_bounding_box(
+                element_with_layout=self.documentai_object,
+                dimension=self._page.documentai_object.dimension,
+            )
+        return self._hocr_bounding_box
 
-def _trim_text(text: str) -> str:
-    r"""Remove extra space characters from text (blank, newline, tab, etc.)
 
-    Args:
-        text (str):
-            Required. UTF-8 encoded text in reading order
-            from the document.
-    Returns:
-        str:
-            Text without trailing spaces/newlines
+@dataclasses.dataclass
+class Block:
+    """Represents a wrapped documentai.Document.Page.Block.
+
+    Attributes:
+        documentai_object (google.cloud.documentai.Document.Page.Block):
+            Required. The original google.cloud.documentai.Document.Page.Block object.
+        _page (Page):
+            Required. The Page object.
     """
-    return text.strip().replace("\n", " ")
+
+    documentai_object: documentai.Document.Page.Block = dataclasses.field(repr=False)
+    _page: "Page" = dataclasses.field(repr=False)
+
+    paragraphs: List[Paragraph] = dataclasses.field(init=False, repr=False)
+    _text: Optional[str] = dataclasses.field(init=False, default=None)
+    _hocr_bounding_box: Optional[str] = dataclasses.field(init=False, default=None)
+
+    def __post_init__(self):
+        self.paragraphs = _get_children_of_element(
+            self.documentai_object, self._page.paragraphs
+        )
+
+    @property
+    def text(self):
+        if self._text is None:
+            self._text = _text_from_layout(
+                layout=self.documentai_object.layout, text=self._page.text
+            )
+        return self._text
+
+    @property
+    def hocr_bounding_box(self):
+        if self._hocr_bounding_box is None:
+            self._hocr_bounding_box = _get_hocr_bounding_box(
+                element_with_layout=self.documentai_object,
+                dimension=self._page.documentai_object.dimension,
+            )
+        return self._hocr_bounding_box
 
 
 def _table_rows_from_documentai_table_rows(
@@ -267,13 +332,249 @@ def _table_rows_from_documentai_table_rows(
     return body_rows
 
 
+def _get_xy(
+    element: ElementWithLayout,
+    dimension: documentai.Document.Page.Dimension,
+    normalized: bool = False,
+    min: bool = False,
+) -> Tuple[int, int]:
+    r"""Returns hocr xy coordinates corresponding to elements bounding box.
+
+    Args:
+        element (ElementWithLayout):
+            Required. an element with layout fields.
+        dimension (documentai.Document.Page.Dimension):
+            Required. Page dimension.
+        normalized (Boolean):
+            Required. Wether element.layout.bounding_poly is normalized
+        min (Boolean):
+            Required. Wether xy should be min
+
+    Returns:
+        Tuple[int, int]:
+            hocr xy coordinates corresponding to elements bounding box.
+    """
+    index = 0 if min else 2
+    if not normalized:
+        return (
+            element.layout.bounding_poly.vertices[index].x,
+            element.layout.bounding_poly.vertices[index].y,
+        )
+    return (
+        element.layout.bounding_poly.vertices[index].x * dimension.width,
+        element.layout.bounding_poly.vertices[index].y * dimension.height,
+    )
+
+
+def _get_hocr_bounding_box(
+    element_with_layout: ElementWithLayout,
+    dimension: documentai.Document.Page.Dimension,
+) -> str:
+    r"""Returns a hOCR bounding box string.
+
+    Args:
+        element_with_layout (ElementWithLayout):
+            Required. an element with layout fields.
+        dimension (documentai.Document.Page.Dimension):
+            Required. Page dimension.
+
+    Returns:
+        str:
+            hOCR bounding box sring.
+    """
+
+    if element_with_layout.layout.bounding_poly.vertices:
+        min_x, min_y = _get_xy(element_with_layout, dimension, False, True)
+        max_x, max_y = _get_xy(element_with_layout, dimension, False, False)
+    else:
+        min_x, min_y = _get_xy(element_with_layout, dimension, True, True)
+        max_x, max_y = _get_xy(element_with_layout, dimension, True, False)
+
+    return f"bbox {min_x} {min_y} {max_x} {max_y}"
+
+
+def _text_from_layout(layout: documentai.Document.Page.Layout, text: str) -> str:
+    r"""Returns a text from a single layout element.
+
+    Args:
+        layout (documentai.Document.Page.Layout):
+            Required. an element with layout fields.
+        text (str):
+            Required. UTF-8 encoded text in reading order
+            from the document.
+
+    Returns:
+        str:
+            Text from a single element.
+    """
+
+    result_text = ""
+
+    for text_segment in layout.text_anchor.text_segments:
+        result_text += text[int(text_segment.start_index) : int(text_segment.end_index)]
+
+    return result_text
+
+
+def _get_children_of_element(element: ElementWithLayout, children: ChildrenElements):
+    r"""Returns a list of children inside element.
+
+    Args:
+        element (ElementWithLayout):
+            Required. A element in a page.
+        children (ChildrenElements):
+            Required. List of wrapped children.
+
+    Returns:
+        List[ChildrenElements]:
+            A list of wrapped children that are inside a element.
+    """
+    start_index = element.layout.text_anchor.text_segments[0].start_index
+    end_index = element.layout.text_anchor.text_segments[0].end_index
+
+    return [
+        child
+        for child in children
+        if child.documentai_object.layout.text_anchor.text_segments[0].start_index
+        >= start_index
+        if child.documentai_object.layout.text_anchor.text_segments[0].end_index
+        <= end_index
+    ]
+
+
+def _get_blocks(
+    blocks: List[documentai.Document.Page.Block], page: "Page"
+) -> List[Block]:
+    r"""Returns a list of wrapped Blocks.
+
+    Args:
+        blocks (List[documentai.Document.Page.Block]):
+            Required. A list of documentai.Document.Page.Block objects.
+        page (Page):
+            Required. The Page object.
+
+    Returns:
+        List[Block]:
+             A list of wrapped Blocks.
+    """
+    result = []
+
+    for block in blocks:
+        result.append(
+            Block(
+                documentai_object=block,
+                _page=page,
+            )
+        )
+
+    return result
+
+
+def _get_paragraphs(
+    paragraphs: List[documentai.Document.Page.Paragraph],
+    page: "Page",
+) -> List[Paragraph]:
+    r"""Returns a list of wrapped Paragraphs.
+
+    Args:
+        paragraphs (List[documentai.Document.Page.Paragraph]):
+            Required. A list of documentai.Document.Page.Paragraph objects.
+        page (Page):
+            Required. The Page object.
+
+    Returns:
+        List[Paragraph]:
+             A list of wrapped Paragraphs.
+    """
+    result = []
+
+    for paragraph in paragraphs:
+        result.append(
+            Paragraph(
+                documentai_object=paragraph,
+                _page=page,
+            )
+        )
+
+    return result
+
+
+def _get_tokens(
+    tokens: List[documentai.Document.Page.Token], page: "Page"
+) -> List[Token]:
+    r"""Returns a list of wrapped tokens.
+
+    Args:
+        tokens (List[documentai.Document.Page.Token]):
+            Required. A list of documentai.Document.Page.Token.
+        page (Page):
+            Required. The Page object.
+
+    Returns:
+        List[Token]:
+            A list of wrapped tokens.
+    """
+    result = []
+
+    for token in tokens:
+        result.append(
+            Token(
+                documentai_object=token,
+                _page=page,
+            )
+        )
+
+    return result
+
+
+def _get_lines(lines: List[documentai.Document.Page.Line], page: "Page") -> List[Line]:
+    r"""Returns a list of wrapped lines.
+
+    Args:
+        lines (List[documentai.Document.Page.Line]):
+            Required. A list of documentai.Document.Page.Line objects.
+        page (Page):
+            Required. The Page object.
+
+    Returns:
+        List[Line]:
+            A list of wrapped Lines.
+    """
+
+    result = []
+
+    for line in lines:
+        result.append(
+            Line(
+                documentai_object=line,
+                _page=page,
+            )
+        )
+
+    return result
+
+
+def _trim_text(text: str) -> str:
+    r"""Remove extra space characters from text (blank, newline, tab, etc.)
+
+    Args:
+        text (str):
+            Required. UTF-8 encoded text in reading order
+            from the document.
+    Returns:
+        str:
+            Text without trailing spaces/newlines
+    """
+    return text.strip().replace("\n", " ")
+
+
 @dataclasses.dataclass
 class Page:
     """Represents a wrapped documentai.Document.Page .
 
     Attributes:
-        documentai_page (google.cloud.documentai.Document.Page):
-            Required. The original `google.cloud.documentai.Document.Page` object.
+        documentai_object (google.cloud.documentai.Document.Page):
+            Required. The original google.cloud.documentai.Document.Page object.
         document_text (str):
             Required. The full text of the `Document` containing the `Page`.
         text (str):
@@ -300,8 +601,8 @@ class Page:
             page.
     """
 
-    documentai_page: documentai.Document.Page = dataclasses.field(repr=False)
-    document_text: dataclasses.InitVar[str]
+    documentai_object: documentai.Document.Page = dataclasses.field(repr=False)
+    document_text: str = dataclasses.field(repr=False)
 
     text: str = dataclasses.field(init=False, repr=False)
     page_number: int = dataclasses.field(init=False, repr=False)
@@ -310,27 +611,80 @@ class Page:
     paragraphs: List[Paragraph] = dataclasses.field(init=False, repr=False)
     blocks: List[Block] = dataclasses.field(init=False, repr=False)
     tables: List[Table] = dataclasses.field(init=False, repr=False)
+    _hocr_bounding_box: Optional[str] = dataclasses.field(init=False, default=None)
+
+    def __post_init__(self):
+        """
+        Order of Init
+        Token
+        Line
+        Paragraph,
+        Block
+        """
+
+        self.text = _text_from_layout(
+            self.documentai_object.layout, text=self.document_text
+        )
+        self.page_number = int(self.documentai_object.page_number)
 
-    def __post_init__(self, document_text) -> None:
-        self.text = _text_from_layout(self.documentai_page.layout, text=document_text)
-        self.page_number = int(self.documentai_page.page_number)
-        self.form_fields = [
-            FormField(documentai_formfield=form_field, document_text=document_text)
-            for form_field in self.documentai_page.form_fields
-        ]
-        self.lines = [
-            Line(documentai_line=line, document_text=document_text)
-            for line in self.documentai_page.lines
-        ]
-        self.paragraphs = [
-            Paragraph(documentai_paragraph=paragraph, document_text=document_text)
-            for paragraph in self.documentai_page.paragraphs
-        ]
-        self.blocks = [
-            Block(documentai_block=block, document_text=document_text)
-            for block in self.documentai_page.blocks
-        ]
         self.tables = [
-            Table(documentai_table=table, document_text=document_text)
-            for table in self.documentai_page.tables
+            Table(documentai_object=table, document_text=self.document_text)
+            for table in self.documentai_object.tables
+        ]
+
+        self.form_fields = [
+            FormField(documentai_object=form_field, document_text=self.document_text)
+            for form_field in self.documentai_object.form_fields
         ]
+
+        self.tokens = _get_tokens(tokens=self.documentai_object.tokens, page=self)
+        self.lines = _get_lines(lines=self.documentai_object.lines, page=self)
+        self.paragraphs = _get_paragraphs(
+            paragraphs=self.documentai_object.paragraphs, page=self
+        )
+        self.blocks = _get_blocks(
+            blocks=self.documentai_object.blocks,
+            page=self,
+        )
+
+    def to_hocr(self):
+        r"""Exports a string hOCR version of the documentai.Document.Page.
+
+        The format for the id of the object follows as such:
+            object_{page_index}_...
+
+        For example words will have the following id format:
+            word_{page_index}_{block_index}_{paragraph_index}_{line_index}_{word_index}
+
+        Args:
+
+        Returns:
+            str:
+                A string hOCR version of the documentai.Document.Page.
+        """
+        f = ""
+        pidx = self.documentai_object.page_number
+        f += f"<div class='ocr_page' lang='unknown' title='{self.hocr_bounding_box}'>"
+        for bidx, block in enumerate(self.blocks):
+            f += f"<span class='ocr_carea' id='block_{pidx}_{bidx}' title='{block.hocr_bounding_box}'>"
+            for paridx, paragraph in enumerate(block.paragraphs):
+                f += f"<span class='ocr_par' id='par_{pidx}_{bidx}_{paridx}' title='{paragraph.hocr_bounding_box}'>"
+                for lidx, line in enumerate(paragraph.lines):
+                    line_text = html.escape(line.text)
+                    f += f"<span class='ocr_line' id='line_{pidx}_{bidx}_{paridx}_{lidx}' title='{line.hocr_bounding_box}'>{line_text}</span>"
+                    for tidx, token in enumerate(line.tokens):
+                        word_text = html.escape(token.text)
+                        f += f"<span class='ocrx_word' id='word_{pidx}_{bidx}_{paridx}_{lidx}_{tidx}' title='{token.hocr_bounding_box}'>{word_text}</span>"
+                f += "</span>"
+            f += "</span>"
+        f += "</div>"
+        return f
+
+    @property
+    def hocr_bounding_box(self):
+        if self._hocr_bounding_box is None:
+            self._hocr_bounding_box = _get_hocr_bounding_box(
+                element_with_layout=self.documentai_object,
+                dimension=self.documentai_object.dimension,
+            )
+        return self._hocr_bounding_box
diff --git a/samples/snippets/test_export_images_sample.py b/samples/snippets/test_export_images_sample.py
index 66b65d33..4c2f92c4 100644
--- a/samples/snippets/test_export_images_sample.py
+++ b/samples/snippets/test_export_images_sample.py
@@ -26,6 +26,9 @@
 
 
 def test_export_images_sample(capsys: pytest.CaptureFixture) -> None:
+    if os.path.exists(output_path):
+        shutil.rmtree(output_path)
+
     os.makedirs(output_path)
     current_directory = os.path.dirname(__file__)
     rel_document_path = os.path.relpath(document_path, current_directory)
diff --git a/samples/snippets/test_split_pdf_sample.py b/samples/snippets/test_split_pdf_sample.py
index 1e3f6a0a..5adac3c9 100644
--- a/samples/snippets/test_split_pdf_sample.py
+++ b/samples/snippets/test_split_pdf_sample.py
@@ -25,6 +25,9 @@
 
 
 def test_split_pdf_sample(capsys: pytest.CaptureFixture) -> None:
+    if os.path.exists(output_path):
+        shutil.rmtree(output_path)
+
     os.makedirs(output_path)
     current_directory = os.path.dirname(__file__)
     rel_document_path = os.path.relpath(document_path, current_directory)
diff --git a/setup.py b/setup.py
index b45fbf0e..98f25e8b 100644
--- a/setup.py
+++ b/setup.py
@@ -60,6 +60,7 @@
         "pikepdf >= 6.2.9, < 7.0.0; python_version<'3.8'",
         "immutabledict >= 2.0.0, < 3.0.0dev",
         "Pillow >= 9.5.0, < 10.0.0",
+        "Jinja2 >= 3.1.0, <= 3.1.2",
     ),
     python_requires=">=3.7",
     classifiers=[
diff --git a/templates/hocr_xml_template.txt b/templates/hocr_xml_template.txt
new file mode 100644
index 00000000..9b7547e7
--- /dev/null
+++ b/templates/hocr_xml_template.txt
@@ -0,0 +1,15 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="unknown" lang="unknown">
+<head>
+<title>{{ title }}</title>
+<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
+<meta name="ocr-system" content="Document AI OCR" />
+<meta name="ocr-langs" content="unknown" />
+<meta name="ocr-number-of-pages" content="{{ number_of_pages }}" />
+<meta name="ocr-capabilities" content="ocr_page ocr_carea ocr_par ocr_line ocrx_word" />
+</head>
+<body>
+{{ hocr_pages }}
+</body>
+</html>
\ No newline at end of file
diff --git a/tests/unit/resources/0/toolbox_invoice_test-0.json b/tests/unit/resources/0/toolbox_invoice_test-0.json
index e11cf899..fc2f9270 100644
--- a/tests/unit/resources/0/toolbox_invoice_test-0.json
+++ b/tests/unit/resources/0/toolbox_invoice_test-0.json
@@ -1 +1,13898 @@
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ZnaxFixYRERHF6/7444/l/OeQLVu27IE/E71e379///Kczc3NbfLkySkpKcVPotPp+vTpI5fs2LFjRkZGiZfbvHmzjY2NVEyj0WzYsEE+dPny5dKiz9L07dv3gTdYPck/ooeqdfv27ZdffrnEMLF169ZHjhwpsVZUVFTnzp2LD/pWq9VdunQ5depU2RfV6XSjRo2Sa3311VflbK3RaJw7d678PcHAgQMNBkPxYhcuXPDz81OpVBZt8/f3v3jxYjmvJcvKypo8ebK9vb3FzTZo0GDt2rWltfPXX39Vvo1IHBwcPvroo+zs7IdtA2ChYs87UAEM6AYAAMATqqioaP369a+99lpqamrZJQ8cOHDnzh3lnnPnzp06depxtq4yr56dnT1v3rz09PQKXD0xMXHUqFGhoaG5ubllFIuNjR02bNjGjRsrcInHKisr67vvvnvppZcuX75s7bag8v31119BQUHbt283Go3Fj164cGHUqFFRUVEW+3fv3j106NATJ05I/YWVTCbT8ePHhwwZcujQoTKuu2bNmm3btlWgwYcOHVq6dKnc77hEsbGxr7zyytGjR82K+EZq26FDh0aOHHnlypXyXzEvL2/y5Mnff/+9TqezOHTnzp2JEyf+8ssvxWuFh4e/8847iYmJFvsLCgq+/fbbDz74gCHzAJ4WRJMAAAB4oh05cuTbb78to0Bubu7mzZstgo/s7OxNmzYVzzUqXWVd/eTJk//+978rcPVJkybt27dPGZE4ODg8//zz7du3txgKKnWuPH/+/MNepQqcPn36rbfeSklJsXZDUJlMJtPChQvlcf1qtdrFxUUIYWdnJ/dyTUpKmjVrVk5OjlwrMTExODhYnu6gRElJSdOmTSvtS4uNGzdOmzateNL3QElJScHBwRkZGWWU0ev1c+fOvXr1amkFLl++vGDBgvJP8/r7779v2rTJIuWU5ebmzps37+bNm8qd165dmzdvXl5eXolVTCbT+vXrt2zZrLQ0VQAAIABJREFUUs4GAIB1MdckAAAArMbHx2fhwoXOzs7if0PGDAZDamrqtm3b9u3bJ3VcMpvNf/zxx6RJk+rVq1fiSc6ePStPR6h04MCB27dv+/j4PNZbqKyrG43G5cuXDxgwoG3btuW/+nfffbdz5055s2bNmtOmTZs4cWKtWrWEEHq9fv369TNmzLh7965UIDEx8euvv/75559LnNfS3t7+iy++aN26ddkXLW3qvTI0bdp0/vz5jo6OJpOpqKgoJyfn5s2be/fuPX36tJzqnjhxYsGCBUuXLn2sCzePGDFi/PjxZZepXbv242tAtRIXF7dr1y7ptYODw+LFi+/du/fFF1906tTp7bffnjx58v3794UQJ0+ePHbsWEBAgFRyy5Ytyi60LVu2fPPNN728vGJiYv7zn//IcWR0dPSff/45evRo5RV1Ot2SJUtCQkJKi+3KUFhYOG/evDNnzpRd7NixY/JNCSHatWv37rvvms3m5cuXX7hwQdq5ffv248ePyxOeliEjI2P58uV6vV7adHd3f//991u0aLFly5Y//vhDeg+8ceNGWFjY/Pnz5Vo///zzrVu3pNc2NjYjRowYMmRIbGzsd999J02rqtfrv/3224EDB9asWfMhfgQAYA1EkwAAALAaR0dHf3//OnXqWOwfO3bsW2+99euvv0qbqampycnJpUWTmzdvlgIOIYRWqzWZTFJ3xfj4+H379r377ruPrfmVfPXExMT58+f/+uuvxaecK1F8fPzq1avlkafu7u7h4eHKqTzt7OzGjRtXr169MWPGyKPF//zzz8uXL5eYP2o0mvbt2/fr16/8bS4nJyen3r17S4GpbObMmStXrgwODpZSJLPZvHnz5rfffvuxLuLRqFGjAQMGPL7zQ+natWvKtZ7eeuutr776Stp8+eWXDx48GB4ebmtr6+HhIafner1+z549co/jNm3a7Nq1S5pRcdSoUX5+fqNGjZKeuKKiopMnT8rRpDSYevbs2ceOHSutB2LZNm/evHr16gfW3bt3b3Z2tvRaWplKeprat28/aNAgqefv/fv39+3bV55o8vz58/Lob61WO2fOnMmTJwshBg0alJmZeeDAASGE2Ww+cODAJ598IuWMGRkZ0n5J//79f/rpJ2k1IRcXl+DgYCnuj42NvXDhQnnaAADWxYBuAAAAPHFsbW179eolLzGhVqtLW5A3ISFh79698mZQUJAcbBmNxk2bNpU9A+MjqvSr79y58/fffy9n4d27d8vDPFUq1XvvvVfiEkOBgYHjxo2TNw0Gg9zfyrq0Wu2777773nvvyf/Qd+/eLf/t48mXl5dXVFQkvW7QoIGdnZ18SKPRhISE3Lx5My8v7/bt22+88Ya0PyMjIy4uTi42dOhQ5UovL7zwgnL1KuXC6wsWLOjfv39UVFTFcsnY2NhZs2Y9cH7G+/fvHz16VN7s2rWr/Mi3bdu2a9eu8qEjR47IX1qU4ciRI/Jgdk9PTzk3d3JyevXVV+X3vevXr8fGxkqvr1y5Ij/4Go1m5MiR8irngwYNql+/vvQ6Jyfn8OHDD2wAAFgd0SQAAACeRLdu3ZIjhrp16xbvWSmJiIiQgwwnJ6c333xT2Sfu7Nmz//3vfx9fIyv96jqdLiQkJCEh4YElTSZTRESEPBq6Tp06I0aMKK3wmDFjJk2atHLlypiYmOTk5KFDhz5Uqx4ftVr9z3/+U+4PazabIyIiKjAUF08mR0dHeU7J06dPJyUlKY/Wq1fPx8fHYm4BZ2fnOXPmhISEfPTRR6+99pq/v7/yqI2NjbJPsbIfbm5urvw42NjYvPnmm88++2w525mXlzdjxgwp77O1tW3SpElpJTMyMuQOnkKIdu3ayemhVqvt2LGjfCgxMVGZnJbIZDIph657e3sr+4a3bNlSmppTujv5beH27dtymuni4qLMar28vJ555hl5U04zAeBJRjQJAACAJ4tOpwsLC/vxxx+lTZVKFRQUVLdu3RJL/vbbb3K3rBYtWnTs2HHw4MFubm7Snse6GE5lXd3Gxsbb21vevHz58jfffFPicsZKaWlpylWAfXx8lCex0LZt2+++++7tt9/29fUtrf+ptTRp0kSZrdy+ffvevXtWbA8qUZMmTeS1mGJiYsaOHfvAHrtOTk6jRo0KDg5eunTpunXrLKLJlJQUOaHTarXt27cvfgZXV9clS5Z88cUXcir6QD/++KM8Z2tQUNDLL79cWsnExES5L6RarW7YsKHyaMOGDeWZUrOysiyi2OKys7Pv3Lkjb9auXdvJyUne9PDwcHR0lF4bDIbr169Lr69evSq/P9SoUcPDw0Ou4uTkpJwp9a+//lKuLwQATybmmgQAAIDVXL9+vWfPnnJYZjKZCgsLU1JSlOOgAwMDpcnXiouJiTlx4oT0WqVSvfTSSzVr1mzbtm3btm0PHTok7d+/f/9jWgynsq6uVqsnTZr0/fffx8fHCyHMZvPPP/88ePDgXr16lVErMzNTGeE1aNBAjkQrrKCgYOLEifLg0BK99tprM2bMeMQLKdnb2ytD1ezs7NTU1DJi1kf066+/7t+/v4wCTZs2/c9//mOxuDkq5plnnunbt+/q1avF/yZMlPZnZmbeunXrgQsuFbdu3TrpMRFCNGrUSDmAWgih0Wh69+69cOHCDh06PDAWlEVGRn711VfSdwwtWrSYO3fuTz/9VFrhzMxMeeFvrVYrLeElc3Jy0mq10trcer2+7JW+hRAFBQXKQd8Wk7Ha2dkpH8bk5GSLF0IIR0dH5TB5IYTyfSArKys/P9+ikQDwpCGaBAAAgNXodDpl1z8LNjY277zzzhdffGHxiV22fft2eXWXWrVqSYOpnZychgwZcuTIkce9GE4lXr1JkyYfffTRp59+KuUjWVlZc+fObdeuXRlpY25urpSASFxdXR/9jkwmk3KavxIpR7NWFuW/b2FhYXlm6Kuwe/fuld0rU6VSySsL4RFpNJrg4ODIyMgbN24o91+6dKl9+/atW7eeMGHCP//5T2VXwTJs3779m2++kZ4saSqA5557Tj7q5+fXv39/5Vcd5ZGamjp9+nRp1W9nZ+cFCxaU/UWCTqeTeyxqNBqLWNDW1la+usFgkEPM0hQVFclrcwshHBwclEc1Go2tra28KU90oJwQ09bW1mJEvPIker2eX2YATz4GdAMAAOAJVVRUtH379p9++qnEyQdTUlJ27Nghb3bo0MHX11d63b9/f3ktCKPR+Ntvv1X6YjiVfvVx48Z1795d3oyMjPz555/LKJ+fn68MHSwikqeLsvFGo1EZueJp17x583Xr1rVq1cpiv9FoPHfu3Hvvvde9e/dTp0498Dx79ux5++235X6Ifn5+Fp2pX3rppd69ez9ULmk0Gr/66qvjx48LIdRq9cSJEwcPHlx2Fb1eL0eTarVaHr4t0Wg08h6j0aiMHUtrgLKMRchosfyX/DaofD/UaDTyKlLFT6LX6+UZJwDgiUU0CQAAgCdXfHz89OnTJ0yYkJWVZXEoMjJS7nGp0WiGDh0qD35s2rSpcqTnmTNnTp8+XbkNq/Sru7m5zZ49u2bNmtJmUVHRsmXLLl26VFp5e3v7EmOLp5FyYk2LnmIWsUs5VawWHpNOnTodPnw4JCTk2WefLf5PEx0d/dprrylXgylu69atY8eOTUlJkTZ9fHy++eabRx90v23btpUrV0rdMLt16zZ9+vQHJptl/2qZzWZ58S6VSlWe38MyyijPJoSQQ0+LPNSCcnLbcrYBAKyLAd0AAACwmmbNmoWHh8vDlg0GQ35+flpa2unTp8PCwqRJ5Uwm08aNG318fObNmydXNBgMv/32m9zhyNPTs3fv3vJRrVY7YsSIrVu3Sj2GpOVoLNbTeBSP6ep+fn5vvPHG0qVLpTwiPj5+0aJFffv2LbGws7OzMsLLyMgwGo2PuMRNjRo1fvjhhxdffLGMMnJ4WomUI7htbGzkpT9UKpUyhVHGNBaUhyxqWRg/fvy0adPKaIy9vb1yIRFUipo1awYHB3/yySfTp09fsmSJRqMxm81yiHbr1q2lS5euXLmyxH+4NWvWTJ48Wf5yonHjxmvWrGnbtu0jNunmzZszZsyQejTXrVt30aJF5ck67ezsNBqN1HKTyWSxyJXRaJR/FTUajXIx8RJptVpll2GLwddms1mZ2svD3pUTUCqvWPwk9vb25V8LCACshWgSAAAAVmNra/vMM8/UqVPHYv/AgQOHDx8+ePDg27dvCyFMJtOmTZsmTpwor4d75cqVo0ePyuVTU1P79Omj7B9kMBiUqcH+/fvj4uKeeeaZSmn2Y7q6RqP58MMP9+/ff/HiRWnP5s2bSytcs2ZNd3d3eUGMO3fuZGRkKNfqVZJSmBdffHH48OFlrDCjUqnq16/frFmzsttZuYxGo3L+Sjs7Ozmq1mq1ytGpxZMgmfIHrlKpLAbGKrm4uFTxDUKm0WhcXFyEEJ07d54/f/6cOXOOHDkiJWtHjhxJTk729PRUljeZTP/5z3+mTZsmLzPdrFmztWvXdujQ4RFbYjQaFyxYIHd8bt269enTp+XezefOnZNL/vXXX8uXL1epVB06dOjatasUTUrfOhiNRovZJHU6nZwMarXa8kSTyi8YlJNIimIzUcqRvTKaLCwstAg0lR2o7ezsyngWAOAJwYBuAAAAPIl8fX379+8vbyYnJ9+8eVPe3L17t3IFXr1en5iYeEchOTlZ2eFIWo6mstr2+K7eqFGj6dOny4lGfn7+unXrSszj6tSp06JFC3nz1q1bV69eLe20kZGRf/zxx9SpU5s0adKjRw95oeQnQVpamvJftlGjRvJMnWq1Wo5jRJkT5xUUFMg/JYueaHgCSUnf6tWrmzRpIu25d++exQpLJpNp5cqVU6dOlXPJjh07btu27dFzSSFEUVGRvNK3EOLAgQMfKOzZs0c+FBMT8+GHH37wwQdbt24V/4+9O4+Lquz/P37NBiOCIKSyKCLihmkoKKai4pKiaVouqZWWWeZd2e2We+ZWWtlqZqJmirlblkIuueSG5r4nipggouyLwGy/P87jPr/5ziACIofq9fxrzpnrnHPNmTN0328/13UJ8dhjj8nrzBgMBptpZLOzs+WgsEqVKvf7pwKZs7Oz9RpQ6enp1u/eu3fPOqyU/2HGx8dH3pmbm2sdj5rNZusaZA8PjxIuMQQACiKaBAAAQCVlHUsZDAb5/6VnZGRs2bKlmOG99oxG4/r168tlMZxHffXnnnvOei0O+wGbErVa3bVrV7kkKiMjY/Xq1UWuxpuZmfndd99JoZ7BYDh+/HilWrT30KFD1tFk8+bNrdcltw53UlNT5SXRbdy6dUu+Sw4ODlJpHpSVl5f35ZdfvvLKK127dn3iiSfs03k/P7+mTZtKr81ms83yR6tWrZo4caL8q+/UqdOmTZsUr3j18vKSny6LxWKdbwohrl+/Lj+H7u7utWrVKv5sLi4u1oWid+7ckXNYIURKSor88XU6nbx0eEBAgDx1Q25urrS8uCQ7O9t6s27dutYllgBQORFNAgAAoDJKT08/cuSIvKnX6+WZ4GJjY8+ePVvaE544ceL48eMP37FHfXW9Xj9lyhTrwqj7efrppxs2bChvrl69etmyZTYllkaj8ZNPPjl48KC8p0mTJq1bty5xxx+t5OTkjz/+WB616uLiMmTIEOsGchwjhLhz5471quiyvLy83bt3y5tVq1Z9YLUaKoBGo9m6deuKFSt279595syZdevW2WTi+fn58gySNoHyrl27xo8fL6f5oaGhq1ev9vX1rbDO34+Hh0ft2rXlzcOHD8tFiwUFBceOHZPf8vX1LcnklXI4K4S4evWqNIWF5NSpU1lZWdJrNzc3+bfg5+fn4uIivc7KyrL+w/LXX3/JZ1CpVE888UTJPxoAKIWJJwAAAFC5FBQUnDhxYsGCBbGxsfJOPz+/gIAAIYTZbN6wYYM8n1rVqlW///77sLCwIk8VGRk5bdo0Ka3LzMxcv359x44dH6ZvFXP1oKCgN998c9q0adajwu35+PiMGjVq/PjxUrlZbm7u22+/ffDgwVGjRoWEhKjV6uPHjy9cuHDz5s1yJKTT6UaOHPnwSxs/vOTk5JiYmE8//fTMmTPyzrCwMOvFzYUQTzzxRNWqVaUbbjab58+f7+vrO2jQILlqrKCgYP78+fv375cPqV+/vs2UhVCEo6Njhw4ddu3aJW1u2LChS5cu1g22bdsmZ3m+vr5yHJ+YmDhhwoS7d+9KmzqdrkmTJt9//739JQIDA5955pky9E2r1fbu3Vv6k2Lv+PHj8ryTfn5+Tz31lEqlatOmjRDCxcWlQ4cOctZ/6NCh33//vVu3bkKIvXv3Hj58WNqvUqmeeuopuWIxJSXlhx9+kEogNRrNxIkT5Wt16NChWrVqUgSZnJwcFRU1d+5cjUZz+/btVatWyf/S8Pjjj8v/DtG4ceOAgACph2azeeXKlQMGDKhZs6bJZFq9erW8jrm7u/v9/jQBQOViASoEjxzw78HvHfhXKe1P3mQy9erVSz5KrVY7/V8ODg7W68nIzWbNmiWdIS4uzno9mVatWqWlpd3vchcuXLAucQoICLh27Zr0VmJiYuPGjeW3tFqtU7Hq169fjle/evWqHMQ4Ojr++OOPNsempqa2b9/e5j74+/vbNLt3796wYcPs75hGoyly+YtnnnkmOzvb+gzffPON/K5KpdLr9cXfBycnp7CwsAd+0QUFBdZThdp80UX2zcfH5+jRozbnSU9Ptwkr1Wp1cHDw66+/PmXKlBEjRjRq1Mj646vV6vnz59t8C9bjanU63QM/YK1atR74Af+d5NtYwvYnT560vvnOzs7SBKm+vr4DBgyQS/9UKtWcOXPkoz788MNi1li3NnDgwPtdOikpyfoHvmDBgpJ/zClTpsgH9uzZ02g0Wr+7f/9+6zkHatWqNWrUqNdee826VtfT0/PEiRPyIadOnZLfdXBwsD5bWlqa9RPu6OjYt2/f8ePHBwUFyQ+2RqNZuHCh9VHTp0+X31WpVC1btpwwYUKfPn2s1+N+6qmncnJySv6pARul/b0DZUbVJAAAABRjNpttFqUtUtu2bUeNGiW93rFjx40bN6TXKpWqT58+1atXv9+BDRs27Ny5s1xvdf369R07drz++uv2LY1GY/EzMN67d+/RXd2eu7v7tGnTBg0aZL2ohT29Xv/pp58KIVavXm1dYllkuWXbtm0/++yzYpbFsFgsNisOF0m6FaXywC+6WrVqH330UatWrWz2u7m5TZs2bfDgwfJ9MJvNx48fv9/o+JCQkOHDhxdzIYPBcL+1dGQsalxemjdvPnz48I8++kiq/svJybl48aIQ4saNG/LvSAjRqlWrESNGSK+TkpKsqwUroSeffHLAgAFLly6VNm/fvm2d7wshVCrViy++WMLB1NWrVx87duzJkyeln1VBQYG03o61Fi1aDB061HrPq6++unHjRulmWiyWEydOnDhxwrpBtWrVJkyYYD1dLwBUWsw1CQAAgMpLpVKFh4evWrVKqjnKzc3duHGjnLvVqFHDugbTnkajGThwoDysUlqORh6OXVoVfPUuXbq88MIL9hWRNqpXr75kyZJPPvmkmOkpHRwcRowYsWnTJj8/vxJevcKoVKqgoKCtW7cOHjy4yAYRERGLFi2yrlO7n6CgoOXLl9esWbO8+4gyUqvVkydPHjBgQDFVkM2aNVu+fLmnp6e0efr06WvXrlVUB8tCq9XOmjXLZnC6tS5duowbN66EhZ9CiGeeeWbixInWBY/WvL29FyxYYPNU+/r6fvXVV/Ja9jZ0Ot24cePCw8NL2AEAUBbRJAAAACoFlUql0WgcHBxcXFxq1KjRpEmTwYMHr1u3LiYmRg7UTp48aV0c1Lp168DAwOJP27Zt22bNmsmb1rPIlVYFX12r1Y4bN856oZv7cXR0HDNmzOnTpxcvXvzMM8/4+/u7uLg4ODjUrFmzbdu277777h9//BEZGSmnP4rTaDRubm6BgYFDhw7dunXrsWPHip+Fc+jQoQcOHHjuuef0en2RDWrWrDl9+vRdu3ZZLyqCysDV1XX58uXz58+3z9Hc3Nzeeeed3bt3W39rp06dKkNZbgXz9PRct27dmDFjbMoSq1Sp8sYbb0RFRT1wbW5rWq122rRpS5cutfmXA7VaHRYWtnnz5iJDxs6dO2/bti08PFyed1Xi4+Pz9ddfT5kyxWY/AFRaKovVDALAoyP/gz+PHPCPx+8d+FfhJ4+KlJKScvTo0WvXrqWlpRkMBil+bdq0aUhIiFydikfnYX7vubm5e/bsWbx48fbt2+vVq/f+++/36tXL3d29vPtYoVJSUnbt2hUfH2+xWOrWrdulS5eHWYKpoKBg//79p0+fzsnJqVGjRtu2bZ944okHVl+ePXv2wIEDt2/frlq1atOmTTt16sRvAeWC/76jwhBNooLwdw349+D3Dvyr8JMH/j0e/vc+e/bsGTNmtG/fPjo6uphpTwEojv++o8IwoBsAAAAAAACAAlh7DgAAAABQEcLDw2fNmuXr6+vg4KB0XwAAlQIDulFBqAYH/j34vQP/KvzkgX8Pfu/Avwe/d1QYBnQDAAAAAAAAUADRJAAAAAAAAAAFEE0CAAAAAAAAUADRJAAAAAAAAAAFEE0CAAAAAAAAUADRJAAAAAAAAAAFEE0CAAAAAAAAUADRJAAAAAAAAAAFEE0CAAAAAAAAUADRJAAAAAAAAAAFEE0CAAAAAAAAUADRJAAAAAAAAAAFEE0CAAAAAAAAUADRJAAAAAAAAAAFEE0CAAAAAAAAUADRJAAAAAAAAAAFEE0CAAAAAAAAUADRJAAAAAAAAAAFqCwWi9J9wL+CSqVSugsAAAAAAKAUSI3wqFE1CQAAAAAAAEABRJMAAAAAAAAAFMCAbgAAAAAAAAAKoGoSAAAAAAAAgAKIJgEAAAAAAAAogGgSAAAAAAAAgAKIJgEAAAAAAAAogGgSAAAAAAAAgAKIJgEAAAAAAAA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+                            "vertices": [
+                                {
+                                    "x": 474,
+                                    "y": 1781
+                                },
+                                {
+                                    "x": 577,
+                                    "y": 1781
+                                },
+                                {
+                                    "x": 577,
+                                    "y": 1818
+                                },
+                                {
+                                    "x": 474,
+                                    "y": 1818
+                                }
+                            ]
+                        },
+                        "confidence": 0.97398281,
+                        "orientation": "PAGE_UP",
+                        "textAnchor": {
+                            "textSegments": [
+                                {
+                                    "endIndex": "432",
+                                    "startIndex": "424"
+                                }
+                            ]
+                        }
+                    }
+                },
+                {
+                    "detectedLanguages": [
+                        {
+                            "languageCode": "en"
+                        }
+                    ],
+                    "layout": {
+                        "boundingPoly": {
+                            "normalizedVertices": [
+                                {
+                                    "x": 0.33276451,
+                                    "y": 0.78285712
+                                },
+                                {
+                                    "x": 0.3526735,
+                                    "y": 0.78285712
+                                },
+                                {
+                                    "x": 0.3526735,
+                                    "y": 0.7991209
+                                },
+                                {
+                                    "x": 0.33276451,
+                                    "y": 0.7991209
+                                }
+                            ],
+                            "vertices": [
+                                {
+                                    "x": 585,
+                                    "y": 1781
+                                },
+                                {
+                                    "x": 620,
+                                    "y": 1781
+                                },
+                                {
+                                    "x": 620,
+                                    "y": 1818
+                                },
+                                {
+                                    "x": 585,
+                                    "y": 1818
+                                }
+                            ]
+                        },
+                        "confidence": 0.94136727,
+                        "orientation": "PAGE_UP",
+                        "textAnchor": {
+                            "textSegments": [
+                                {
+                                    "endIndex": "435",
+                                    "startIndex": "432"
+                                }
+                            ]
+                        }
+                    }
+                }
+            ]
+        }
+    ],
+    "shardInfo": {
+        "shardCount": "1"
+    },
+    "text": "Invoice\nDATE: 01/01/1970\nINVOICE: NO. 001\nFROM: Company ABC\nuser@companyabc.com\nTO: John Doe\njohndoe@email.com\nADDRESS: 111 Main Street\nAnytown, USA\nADDRESS: 222 Main Street\nAnytown, USA\nTERMS: 6 month contract\nDUE: 01/01/2025\nItem Description\nQuantity\nPrice\nAmount\nTool A\n500\n$1.00\n$500.00\nService B\n1\n$900.00\n$900.00\nResource C\n50\n$12.00\n$600.00\nSubtotal\n$2000.00\nTax\n$140.00\nBALANCE DUE\n$2140.00\nNOTES:\nSupplies used for Project Q.\n",
+    "uri": ""
+}
\ No newline at end of file
diff --git a/tests/unit/resources/toolbox_invoice_test_0_hocr.xml b/tests/unit/resources/toolbox_invoice_test_0_hocr.xml
new file mode 100644
index 00000000..6885961b
--- /dev/null
+++ b/tests/unit/resources/toolbox_invoice_test_0_hocr.xml
@@ -0,0 +1,89 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="unknown" lang="unknown">
+<head>
+<title>toolbox_invoice_test-0</title>
+<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
+<meta name="ocr-system" content="Document AI OCR" />
+<meta name="ocr-langs" content="unknown" />
+<meta name="ocr-number-of-pages" content="1" />
+<meta name="ocr-capabilities" content="ocr_page ocr_carea ocr_par ocr_line ocrx_word" />
+</head>
+<body>
+<div class='ocr_page' lang='unknown' title='bbox 0 0 1758 2275'><span class='ocr_carea' id='block_1_0' title='bbox 1310 220 1534 282'><span class='ocr_par' id='par_1_0_0' title='bbox 1310 220 1534 282'><span class='ocr_line' id='line_1_0_0_0' title='bbox 1310 220 1534 282'>Invoice
+</span><span class='ocrx_word' id='word_1_0_0_0_0' title='bbox 1310 220 1534 282'>Invoice
+</span></span></span><span class='ocr_carea' id='block_1_1' title='bbox 1287 322 1547 396'><span class='ocr_par' id='par_1_1_0' title='bbox 1287 322 1547 396'><span class='ocr_line' id='line_1_1_0_0' title='bbox 1288 322 1544 352'>DATE: 01/01/1970
+</span><span class='ocrx_word' id='word_1_1_0_0_0' title='bbox 1288 322 1369 350'>DATE</span><span class='ocrx_word' id='word_1_1_0_0_1' title='bbox 1374 322 1382 350'>: </span><span class='ocrx_word' id='word_1_1_0_0_2' title='bbox 1390 322 1544 352'>01/01/1970
+</span><span class='ocr_line' id='line_1_1_0_1' title='bbox 1287 366 1547 395'>INVOICE: NO. 001
+</span><span class='ocrx_word' id='word_1_1_0_1_0' title='bbox 1287 366 1410 395'>INVOICE</span><span class='ocrx_word' id='word_1_1_0_1_1' title='bbox 1417 366 1425 395'>: </span><span class='ocrx_word' id='word_1_1_0_1_2' title='bbox 1427 366 1476 395'>NO</span><span class='ocrx_word' id='word_1_1_0_1_3' title='bbox 1481 366 1489 395'>. </span><span class='ocrx_word' id='word_1_1_0_1_4' title='bbox 1498 366 1547 395'>001
+</span></span></span><span class='ocr_carea' id='block_1_2' title='bbox 219 512 693 586'><span class='ocr_par' id='par_1_2_0' title='bbox 219 512 693 586'><span class='ocr_line' id='line_1_2_0_0' title='bbox 219 512 551 551'>FROM: Company ABC
+</span><span class='ocrx_word' id='word_1_2_0_0_0' title='bbox 219 512 308 549'>FROM</span><span class='ocrx_word' id='word_1_2_0_0_1' title='bbox 314 513 324 548'>: </span><span class='ocrx_word' id='word_1_2_0_0_2' title='bbox 348 513 484 550'>Company </span><span class='ocrx_word' id='word_1_2_0_0_3' title='bbox 492 515 551 551'>ABC
+</span><span class='ocr_line' id='line_1_2_0_1' title='bbox 352 551 693 585'>user@companyabc.com
+</span><span class='ocrx_word' id='word_1_2_0_1_0' title='bbox 352 551 693 585'>user@companyabc.com
+</span></span></span><span class='ocr_carea' id='block_1_3' title='bbox 895 513 1259 585'><span class='ocr_par' id='par_1_3_0' title='bbox 895 513 1259 585'><span class='ocr_line' id='line_1_3_0_0' title='bbox 895 513 1105 542'>TO: John Doe
+</span><span class='ocrx_word' id='word_1_3_0_0_0' title='bbox 895 513 928 542'>TO</span><span class='ocrx_word' id='word_1_3_0_0_1' title='bbox 936 513 944 542'>: </span><span class='ocrx_word' id='word_1_3_0_0_2' title='bbox 975 513 1039 542'>John </span><span class='ocrx_word' id='word_1_3_0_0_3' title='bbox 1048 513 1105 542'>Doe
+</span><span class='ocr_line' id='line_1_3_0_1' title='bbox 968 551 1259 585'>johndoe@email.com
+</span><span class='ocrx_word' id='word_1_3_0_1_0' title='bbox 968 551 1259 585'>johndoe@email.com
+</span></span></span><span class='ocr_carea' id='block_1_4' title='bbox 219 629 620 702'><span class='ocr_par' id='par_1_4_0' title='bbox 219 629 620 702'><span class='ocr_line' id='line_1_4_0_0' title='bbox 219 629 619 660'>ADDRESS: 111 Main Street
+</span><span class='ocrx_word' id='word_1_4_0_0_0' title='bbox 219 629 370 660'>ADDRESS</span><span class='ocrx_word' id='word_1_4_0_0_1' title='bbox 375 629 384 660'>: </span><span class='ocrx_word' id='word_1_4_0_0_2' title='bbox 393 629 442 660'>111 </span><span class='ocrx_word' id='word_1_4_0_0_3' title='bbox 453 629 515 660'>Main </span><span class='ocrx_word' id='word_1_4_0_0_4' title='bbox 535 629 619 660'>Street
+</span><span class='ocr_line' id='line_1_4_0_1' title='bbox 399 667 599 700'>Anytown, USA
+</span><span class='ocrx_word' id='word_1_4_0_1_0' title='bbox 399 667 516 702'>Anytown</span><span class='ocrx_word' id='word_1_4_0_1_1' title='bbox 516 665 527 701'>, </span><span class='ocrx_word' id='word_1_4_0_1_2' title='bbox 532 665 599 700'>USA
+</span></span></span><span class='ocr_carea' id='block_1_5' title='bbox 892 628 1290 702'><span class='ocr_par' id='par_1_5_0' title='bbox 892 628 1290 702'><span class='ocr_line' id='line_1_5_0_0' title='bbox 892 628 1289 659'>ADDRESS: 222 Main Street
+</span><span class='ocrx_word' id='word_1_5_0_0_0' title='bbox 892 628 1043 659'>ADDRESS</span><span class='ocrx_word' id='word_1_5_0_0_1' title='bbox 1045 628 1054 659'>: </span><span class='ocrx_word' id='word_1_5_0_0_2' title='bbox 1063 628 1116 659'>222 </span><span class='ocrx_word' id='word_1_5_0_0_3' title='bbox 1123 628 1188 659'>Main </span><span class='ocrx_word' id='word_1_5_0_0_4' title='bbox 1203 628 1289 659'>Street
+</span><span class='ocr_line' id='line_1_5_0_1' title='bbox 1062 668 1259 701'>Anytown, USA
+</span><span class='ocrx_word' id='word_1_5_0_1_0' title='bbox 1062 668 1180 702'>Anytown</span><span class='ocrx_word' id='word_1_5_0_1_1' title='bbox 1183 667 1194 702'>, </span><span class='ocrx_word' id='word_1_5_0_1_2' title='bbox 1199 666 1259 701'>USA
+</span></span></span><span class='ocr_carea' id='block_1_6' title='bbox 205 850 571 921'><span class='ocr_par' id='par_1_6_0' title='bbox 205 850 571 921'><span class='ocr_line' id='line_1_6_0_0' title='bbox 207 850 571 879'>TERMS: 6 month contract
+</span><span class='ocrx_word' id='word_1_6_0_0_0' title='bbox 207 850 315 879'>TERMS</span><span class='ocrx_word' id='word_1_6_0_0_1' title='bbox 318 850 326 879'>: </span><span class='ocrx_word' id='word_1_6_0_0_2' title='bbox 335 850 343 879'>6 </span><span class='ocrx_word' id='word_1_6_0_0_3' title='bbox 364 850 439 879'>month </span><span class='ocrx_word' id='word_1_6_0_0_4' title='bbox 458 850 571 879'>contract
+</span><span class='ocr_line' id='line_1_6_0_1' title='bbox 205 893 445 921'>DUE: 01/01/2025
+</span><span class='ocrx_word' id='word_1_6_0_1_0' title='bbox 205 893 269 921'>DUE</span><span class='ocrx_word' id='word_1_6_0_1_1' title='bbox 274 893 282 921'>: </span><span class='ocrx_word' id='word_1_6_0_1_2' title='bbox 290 893 445 921'>01/01/2025
+</span></span></span><span class='ocr_carea' id='block_1_7' title='bbox 219 1035 466 1075'><span class='ocr_par' id='par_1_7_0' title='bbox 219 1035 466 1075'><span class='ocr_line' id='line_1_7_0_0' title='bbox 219 1035 466 1075'>Item Description
+</span><span class='ocrx_word' id='word_1_7_0_0_0' title='bbox 219 1035 283 1072'>Item </span><span class='ocrx_word' id='word_1_7_0_0_1' title='bbox 296 1036 466 1075'>Description
+</span></span></span><span class='ocr_carea' id='block_1_8' title='bbox 554 1039 683 1075'><span class='ocr_par' id='par_1_8_0' title='bbox 554 1039 683 1075'><span class='ocr_line' id='line_1_8_0_0' title='bbox 554 1039 683 1075'>Quantity
+</span><span class='ocrx_word' id='word_1_8_0_0_0' title='bbox 554 1039 683 1075'>Quantity
+</span></span></span><span class='ocr_carea' id='block_1_9' title='bbox 894 1040 968 1067'><span class='ocr_par' id='par_1_9_0' title='bbox 894 1040 968 1067'><span class='ocr_line' id='line_1_9_0_0' title='bbox 894 1040 968 1067'>Price
+</span><span class='ocrx_word' id='word_1_9_0_0_0' title='bbox 894 1040 968 1067'>Price
+</span></span></span><span class='ocr_carea' id='block_1_10' title='bbox 1227 1039 1351 1068'><span class='ocr_par' id='par_1_10_0' title='bbox 1227 1039 1351 1068'><span class='ocr_line' id='line_1_10_0_0' title='bbox 1227 1039 1351 1068'>Amount
+</span><span class='ocrx_word' id='word_1_10_0_0_0' title='bbox 1227 1039 1351 1068'>Amount
+</span></span></span><span class='ocr_carea' id='block_1_11' title='bbox 224 1110 302 1138'><span class='ocr_par' id='par_1_11_0' title='bbox 224 1110 302 1138'><span class='ocr_line' id='line_1_11_0_0' title='bbox 224 1110 302 1138'>Tool A
+</span><span class='ocrx_word' id='word_1_11_0_0_0' title='bbox 224 1110 285 1138'>Tool </span><span class='ocrx_word' id='word_1_11_0_0_1' title='bbox 294 1110 302 1138'>A
+</span></span></span><span class='ocr_carea' id='block_1_12' title='bbox 556 1110 608 1138'><span class='ocr_par' id='par_1_12_0' title='bbox 556 1110 608 1138'><span class='ocr_line' id='line_1_12_0_0' title='bbox 556 1110 608 1138'>500
+</span><span class='ocrx_word' id='word_1_12_0_0_0' title='bbox 556 1110 608 1138'>500
+</span></span></span><span class='ocr_carea' id='block_1_13' title='bbox 896 1109 972 1137'><span class='ocr_par' id='par_1_13_0' title='bbox 896 1109 972 1137'><span class='ocr_line' id='line_1_13_0_0' title='bbox 896 1109 972 1137'>$1.00
+</span><span class='ocrx_word' id='word_1_13_0_0_0' title='bbox 896 1109 904 1137'>$</span><span class='ocrx_word' id='word_1_13_0_0_1' title='bbox 917 1109 972 1137'>1.00
+</span></span></span><span class='ocr_carea' id='block_1_14' title='bbox 1230 1108 1343 1141'><span class='ocr_par' id='par_1_14_0' title='bbox 1230 1108 1343 1141'><span class='ocr_line' id='line_1_14_0_0' title='bbox 1230 1108 1343 1141'>$500.00
+</span><span class='ocrx_word' id='word_1_14_0_0_0' title='bbox 1230 1108 1239 1139'>$</span><span class='ocrx_word' id='word_1_14_0_0_1' title='bbox 1246 1108 1343 1141'>500.00
+</span></span></span><span class='ocr_carea' id='block_1_15' title='bbox 223 1180 345 1207'><span class='ocr_par' id='par_1_15_0' title='bbox 223 1180 345 1207'><span class='ocr_line' id='line_1_15_0_0' title='bbox 223 1180 345 1207'>Service B
+</span><span class='ocrx_word' id='word_1_15_0_0_0' title='bbox 223 1180 320 1207'>Service </span><span class='ocrx_word' id='word_1_15_0_0_1' title='bbox 337 1180 345 1207'>B
+</span></span></span><span class='ocr_carea' id='block_1_16' title='bbox 562 1182 570 1209'><span class='ocr_par' id='par_1_16_0' title='bbox 562 1182 570 1209'><span class='ocr_line' id='line_1_16_0_0' title='bbox 562 1182 570 1209'>1
+</span><span class='ocrx_word' id='word_1_16_0_0_0' title='bbox 562 1182 570 1209'>1
+</span></span></span><span class='ocr_carea' id='block_1_17' title='bbox 896 1181 1005 1210'><span class='ocr_par' id='par_1_17_0' title='bbox 896 1181 1005 1210'><span class='ocr_line' id='line_1_17_0_0' title='bbox 896 1181 1005 1210'>$900.00
+</span><span class='ocrx_word' id='word_1_17_0_0_0' title='bbox 896 1181 904 1210'>$</span><span class='ocrx_word' id='word_1_17_0_0_1' title='bbox 910 1181 1005 1210'>900.00
+</span></span></span><span class='ocr_carea' id='block_1_18' title='bbox 1231 1180 1342 1210'><span class='ocr_par' id='par_1_18_0' title='bbox 1231 1180 1342 1210'><span class='ocr_line' id='line_1_18_0_0' title='bbox 1231 1180 1342 1210'>$900.00
+</span><span class='ocrx_word' id='word_1_18_0_0_0' title='bbox 1231 1181 1241 1212'>$</span><span class='ocrx_word' id='word_1_18_0_0_1' title='bbox 1248 1180 1342 1210'>900.00
+</span></span></span><span class='ocr_carea' id='block_1_19' title='bbox 218 1252 380 1280'><span class='ocr_par' id='par_1_19_0' title='bbox 218 1252 380 1280'><span class='ocr_line' id='line_1_19_0_0' title='bbox 218 1252 380 1280'>Resource C
+</span><span class='ocrx_word' id='word_1_19_0_0_0' title='bbox 218 1252 352 1280'>Resource </span><span class='ocrx_word' id='word_1_19_0_0_1' title='bbox 372 1252 380 1280'>C
+</span></span></span><span class='ocr_carea' id='block_1_20' title='bbox 554 1252 591 1280'><span class='ocr_par' id='par_1_20_0' title='bbox 554 1252 591 1280'><span class='ocr_line' id='line_1_20_0_0' title='bbox 554 1252 591 1280'>50
+</span><span class='ocrx_word' id='word_1_20_0_0_0' title='bbox 554 1252 591 1280'>50
+</span></span></span><span class='ocr_carea' id='block_1_21' title='bbox 896 1253 985 1281'><span class='ocr_par' id='par_1_21_0' title='bbox 896 1253 985 1281'><span class='ocr_line' id='line_1_21_0_0' title='bbox 896 1253 985 1281'>$12.00
+</span><span class='ocrx_word' id='word_1_21_0_0_0' title='bbox 896 1254 904 1282'>$</span><span class='ocrx_word' id='word_1_21_0_0_1' title='bbox 913 1253 985 1281'>12.00
+</span></span></span><span class='ocr_carea' id='block_1_22' title='bbox 1232 1251 1339 1283'><span class='ocr_par' id='par_1_22_0' title='bbox 1232 1251 1339 1283'><span class='ocr_line' id='line_1_22_0_0' title='bbox 1232 1251 1339 1283'>$600.00
+</span><span class='ocrx_word' id='word_1_22_0_0_0' title='bbox 1232 1251 1241 1283'>$</span><span class='ocrx_word' id='word_1_22_0_0_1' title='bbox 1244 1251 1339 1283'>600.00
+</span></span></span><span class='ocr_carea' id='block_1_23' title='bbox 893 1394 1022 1423'><span class='ocr_par' id='par_1_23_0' title='bbox 893 1394 1022 1423'><span class='ocr_line' id='line_1_23_0_0' title='bbox 893 1394 1022 1423'>Subtotal
+</span><span class='ocrx_word' id='word_1_23_0_0_0' title='bbox 893 1394 1022 1423'>Subtotal
+</span></span></span><span class='ocr_carea' id='block_1_24' title='bbox 1230 1394 1357 1427'><span class='ocr_par' id='par_1_24_0' title='bbox 1230 1394 1357 1427'><span class='ocr_line' id='line_1_24_0_0' title='bbox 1230 1394 1357 1427'>$2000.00
+</span><span class='ocrx_word' id='word_1_24_0_0_0' title='bbox 1230 1394 1239 1425'>$</span><span class='ocrx_word' id='word_1_24_0_0_1' title='bbox 1246 1394 1357 1427'>2000.00
+</span></span></span><span class='ocr_carea' id='block_1_25' title='bbox 897 1465 946 1494'><span class='ocr_par' id='par_1_25_0' title='bbox 897 1465 946 1494'><span class='ocr_line' id='line_1_25_0_0' title='bbox 897 1465 946 1494'>Tax
+</span><span class='ocrx_word' id='word_1_25_0_0_0' title='bbox 897 1465 946 1494'>Tax
+</span></span></span><span class='ocr_carea' id='block_1_26' title='bbox 1232 1464 1340 1494'><span class='ocr_par' id='par_1_26_0' title='bbox 1232 1464 1340 1494'><span class='ocr_line' id='line_1_26_0_0' title='bbox 1232 1464 1340 1494'>$140.00
+</span><span class='ocrx_word' id='word_1_26_0_0_0' title='bbox 1232 1464 1241 1494'>$</span><span class='ocrx_word' id='word_1_26_0_0_1' title='bbox 1249 1464 1340 1494'>140.00
+</span></span></span><span class='ocr_carea' id='block_1_27' title='bbox 890 1537 1119 1565'><span class='ocr_par' id='par_1_27_0' title='bbox 890 1537 1119 1565'><span class='ocr_line' id='line_1_27_0_0' title='bbox 890 1537 1119 1565'>BALANCE DUE
+</span><span class='ocrx_word' id='word_1_27_0_0_0' title='bbox 890 1537 1044 1565'>BALANCE </span><span class='ocrx_word' id='word_1_27_0_0_1' title='bbox 1056 1537 1119 1565'>DUE
+</span></span></span><span class='ocr_carea' id='block_1_28' title='bbox 1233 1536 1360 1567'><span class='ocr_par' id='par_1_28_0' title='bbox 1233 1536 1360 1567'><span class='ocr_line' id='line_1_28_0_0' title='bbox 1233 1536 1360 1567'>$2140.00
+</span><span class='ocrx_word' id='word_1_28_0_0_0' title='bbox 1233 1536 1241 1565'>$</span><span class='ocrx_word' id='word_1_28_0_0_1' title='bbox 1250 1536 1360 1567'>2140.00
+</span></span></span><span class='ocr_carea' id='block_1_29' title='bbox 202 1679 323 1707'><span class='ocr_par' id='par_1_29_0' title='bbox 202 1679 323 1707'><span class='ocr_line' id='line_1_29_0_0' title='bbox 202 1679 323 1707'>NOTES:
+</span><span class='ocrx_word' id='word_1_29_0_0_0' title='bbox 202 1679 312 1707'>NOTES</span><span class='ocrx_word' id='word_1_29_0_0_1' title='bbox 315 1679 323 1707'>:
+</span></span></span><span class='ocr_carea' id='block_1_30' title='bbox 223 1781 620 1818'><span class='ocr_par' id='par_1_30_0' title='bbox 223 1781 620 1818'><span class='ocr_line' id='line_1_30_0_0' title='bbox 223 1781 620 1818'>Supplies used for Project Q.
+</span><span class='ocrx_word' id='word_1_30_0_0_0' title='bbox 223 1781 341 1818'>Supplies </span><span class='ocrx_word' id='word_1_30_0_0_1' title='bbox 349 1781 414 1818'>used </span><span class='ocrx_word' id='word_1_30_0_0_2' title='bbox 429 1781 466 1818'>for </span><span class='ocrx_word' id='word_1_30_0_0_3' title='bbox 474 1781 577 1818'>Project </span><span class='ocrx_word' id='word_1_30_0_0_4' title='bbox 585 1781 620 1818'>Q.
+</span></span></span></div>
+</body>
+</html>
\ No newline at end of file
diff --git a/tests/unit/resources/toolbox_invoice_test_page_hocr.xml b/tests/unit/resources/toolbox_invoice_test_page_hocr.xml
new file mode 100644
index 00000000..41d0b05f
--- /dev/null
+++ b/tests/unit/resources/toolbox_invoice_test_page_hocr.xml
@@ -0,0 +1,75 @@
+<div class='ocr_page' lang='unknown' title='bbox 0 0 1758 2275'><span class='ocr_carea' id='block_1_0' title='bbox 1310 220 1534 282'><span class='ocr_par' id='par_1_0_0' title='bbox 1310 220 1534 282'><span class='ocr_line' id='line_1_0_0_0' title='bbox 1310 220 1534 282'>Invoice
+</span><span class='ocrx_word' id='word_1_0_0_0_0' title='bbox 1310 220 1534 282'>Invoice
+</span></span></span><span class='ocr_carea' id='block_1_1' title='bbox 1287 322 1547 396'><span class='ocr_par' id='par_1_1_0' title='bbox 1287 322 1547 396'><span class='ocr_line' id='line_1_1_0_0' title='bbox 1288 322 1544 352'>DATE: 01/01/1970
+</span><span class='ocrx_word' id='word_1_1_0_0_0' title='bbox 1288 322 1369 350'>DATE</span><span class='ocrx_word' id='word_1_1_0_0_1' title='bbox 1374 322 1382 350'>: </span><span class='ocrx_word' id='word_1_1_0_0_2' title='bbox 1390 322 1544 352'>01/01/1970
+</span><span class='ocr_line' id='line_1_1_0_1' title='bbox 1287 366 1547 395'>INVOICE: NO. 001
+</span><span class='ocrx_word' id='word_1_1_0_1_0' title='bbox 1287 366 1410 395'>INVOICE</span><span class='ocrx_word' id='word_1_1_0_1_1' title='bbox 1417 366 1425 395'>: </span><span class='ocrx_word' id='word_1_1_0_1_2' title='bbox 1427 366 1476 395'>NO</span><span class='ocrx_word' id='word_1_1_0_1_3' title='bbox 1481 366 1489 395'>. </span><span class='ocrx_word' id='word_1_1_0_1_4' title='bbox 1498 366 1547 395'>001
+</span></span></span><span class='ocr_carea' id='block_1_2' title='bbox 219 512 693 586'><span class='ocr_par' id='par_1_2_0' title='bbox 219 512 693 586'><span class='ocr_line' id='line_1_2_0_0' title='bbox 219 512 551 551'>FROM: Company ABC
+</span><span class='ocrx_word' id='word_1_2_0_0_0' title='bbox 219 512 308 549'>FROM</span><span class='ocrx_word' id='word_1_2_0_0_1' title='bbox 314 513 324 548'>: </span><span class='ocrx_word' id='word_1_2_0_0_2' title='bbox 348 513 484 550'>Company </span><span class='ocrx_word' id='word_1_2_0_0_3' title='bbox 492 515 551 551'>ABC
+</span><span class='ocr_line' id='line_1_2_0_1' title='bbox 352 551 693 585'>user@companyabc.com
+</span><span class='ocrx_word' id='word_1_2_0_1_0' title='bbox 352 551 693 585'>user@companyabc.com
+</span></span></span><span class='ocr_carea' id='block_1_3' title='bbox 895 513 1259 585'><span class='ocr_par' id='par_1_3_0' title='bbox 895 513 1259 585'><span class='ocr_line' id='line_1_3_0_0' title='bbox 895 513 1105 542'>TO: John Doe
+</span><span class='ocrx_word' id='word_1_3_0_0_0' title='bbox 895 513 928 542'>TO</span><span class='ocrx_word' id='word_1_3_0_0_1' title='bbox 936 513 944 542'>: </span><span class='ocrx_word' id='word_1_3_0_0_2' title='bbox 975 513 1039 542'>John </span><span class='ocrx_word' id='word_1_3_0_0_3' title='bbox 1048 513 1105 542'>Doe
+</span><span class='ocr_line' id='line_1_3_0_1' title='bbox 968 551 1259 585'>johndoe@email.com
+</span><span class='ocrx_word' id='word_1_3_0_1_0' title='bbox 968 551 1259 585'>johndoe@email.com
+</span></span></span><span class='ocr_carea' id='block_1_4' title='bbox 219 629 620 702'><span class='ocr_par' id='par_1_4_0' title='bbox 219 629 620 702'><span class='ocr_line' id='line_1_4_0_0' title='bbox 219 629 619 660'>ADDRESS: 111 Main Street
+</span><span class='ocrx_word' id='word_1_4_0_0_0' title='bbox 219 629 370 660'>ADDRESS</span><span class='ocrx_word' id='word_1_4_0_0_1' title='bbox 375 629 384 660'>: </span><span class='ocrx_word' id='word_1_4_0_0_2' title='bbox 393 629 442 660'>111 </span><span class='ocrx_word' id='word_1_4_0_0_3' title='bbox 453 629 515 660'>Main </span><span class='ocrx_word' id='word_1_4_0_0_4' title='bbox 535 629 619 660'>Street
+</span><span class='ocr_line' id='line_1_4_0_1' title='bbox 399 667 599 700'>Anytown, USA
+</span><span class='ocrx_word' id='word_1_4_0_1_0' title='bbox 399 667 516 702'>Anytown</span><span class='ocrx_word' id='word_1_4_0_1_1' title='bbox 516 665 527 701'>, </span><span class='ocrx_word' id='word_1_4_0_1_2' title='bbox 532 665 599 700'>USA
+</span></span></span><span class='ocr_carea' id='block_1_5' title='bbox 892 628 1290 702'><span class='ocr_par' id='par_1_5_0' title='bbox 892 628 1290 702'><span class='ocr_line' id='line_1_5_0_0' title='bbox 892 628 1289 659'>ADDRESS: 222 Main Street
+</span><span class='ocrx_word' id='word_1_5_0_0_0' title='bbox 892 628 1043 659'>ADDRESS</span><span class='ocrx_word' id='word_1_5_0_0_1' title='bbox 1045 628 1054 659'>: </span><span class='ocrx_word' id='word_1_5_0_0_2' title='bbox 1063 628 1116 659'>222 </span><span class='ocrx_word' id='word_1_5_0_0_3' title='bbox 1123 628 1188 659'>Main </span><span class='ocrx_word' id='word_1_5_0_0_4' title='bbox 1203 628 1289 659'>Street
+</span><span class='ocr_line' id='line_1_5_0_1' title='bbox 1062 668 1259 701'>Anytown, USA
+</span><span class='ocrx_word' id='word_1_5_0_1_0' title='bbox 1062 668 1180 702'>Anytown</span><span class='ocrx_word' id='word_1_5_0_1_1' title='bbox 1183 667 1194 702'>, </span><span class='ocrx_word' id='word_1_5_0_1_2' title='bbox 1199 666 1259 701'>USA
+</span></span></span><span class='ocr_carea' id='block_1_6' title='bbox 205 850 571 921'><span class='ocr_par' id='par_1_6_0' title='bbox 205 850 571 921'><span class='ocr_line' id='line_1_6_0_0' title='bbox 207 850 571 879'>TERMS: 6 month contract
+</span><span class='ocrx_word' id='word_1_6_0_0_0' title='bbox 207 850 315 879'>TERMS</span><span class='ocrx_word' id='word_1_6_0_0_1' title='bbox 318 850 326 879'>: </span><span class='ocrx_word' id='word_1_6_0_0_2' title='bbox 335 850 343 879'>6 </span><span class='ocrx_word' id='word_1_6_0_0_3' title='bbox 364 850 439 879'>month </span><span class='ocrx_word' id='word_1_6_0_0_4' title='bbox 458 850 571 879'>contract
+</span><span class='ocr_line' id='line_1_6_0_1' title='bbox 205 893 445 921'>DUE: 01/01/2025
+</span><span class='ocrx_word' id='word_1_6_0_1_0' title='bbox 205 893 269 921'>DUE</span><span class='ocrx_word' id='word_1_6_0_1_1' title='bbox 274 893 282 921'>: </span><span class='ocrx_word' id='word_1_6_0_1_2' title='bbox 290 893 445 921'>01/01/2025
+</span></span></span><span class='ocr_carea' id='block_1_7' title='bbox 219 1035 466 1075'><span class='ocr_par' id='par_1_7_0' title='bbox 219 1035 466 1075'><span class='ocr_line' id='line_1_7_0_0' title='bbox 219 1035 466 1075'>Item Description
+</span><span class='ocrx_word' id='word_1_7_0_0_0' title='bbox 219 1035 283 1072'>Item </span><span class='ocrx_word' id='word_1_7_0_0_1' title='bbox 296 1036 466 1075'>Description
+</span></span></span><span class='ocr_carea' id='block_1_8' title='bbox 554 1039 683 1075'><span class='ocr_par' id='par_1_8_0' title='bbox 554 1039 683 1075'><span class='ocr_line' id='line_1_8_0_0' title='bbox 554 1039 683 1075'>Quantity
+</span><span class='ocrx_word' id='word_1_8_0_0_0' title='bbox 554 1039 683 1075'>Quantity
+</span></span></span><span class='ocr_carea' id='block_1_9' title='bbox 894 1040 968 1067'><span class='ocr_par' id='par_1_9_0' title='bbox 894 1040 968 1067'><span class='ocr_line' id='line_1_9_0_0' title='bbox 894 1040 968 1067'>Price
+</span><span class='ocrx_word' id='word_1_9_0_0_0' title='bbox 894 1040 968 1067'>Price
+</span></span></span><span class='ocr_carea' id='block_1_10' title='bbox 1227 1039 1351 1068'><span class='ocr_par' id='par_1_10_0' title='bbox 1227 1039 1351 1068'><span class='ocr_line' id='line_1_10_0_0' title='bbox 1227 1039 1351 1068'>Amount
+</span><span class='ocrx_word' id='word_1_10_0_0_0' title='bbox 1227 1039 1351 1068'>Amount
+</span></span></span><span class='ocr_carea' id='block_1_11' title='bbox 224 1110 302 1138'><span class='ocr_par' id='par_1_11_0' title='bbox 224 1110 302 1138'><span class='ocr_line' id='line_1_11_0_0' title='bbox 224 1110 302 1138'>Tool A
+</span><span class='ocrx_word' id='word_1_11_0_0_0' title='bbox 224 1110 285 1138'>Tool </span><span class='ocrx_word' id='word_1_11_0_0_1' title='bbox 294 1110 302 1138'>A
+</span></span></span><span class='ocr_carea' id='block_1_12' title='bbox 556 1110 608 1138'><span class='ocr_par' id='par_1_12_0' title='bbox 556 1110 608 1138'><span class='ocr_line' id='line_1_12_0_0' title='bbox 556 1110 608 1138'>500
+</span><span class='ocrx_word' id='word_1_12_0_0_0' title='bbox 556 1110 608 1138'>500
+</span></span></span><span class='ocr_carea' id='block_1_13' title='bbox 896 1109 972 1137'><span class='ocr_par' id='par_1_13_0' title='bbox 896 1109 972 1137'><span class='ocr_line' id='line_1_13_0_0' title='bbox 896 1109 972 1137'>$1.00
+</span><span class='ocrx_word' id='word_1_13_0_0_0' title='bbox 896 1109 904 1137'>$</span><span class='ocrx_word' id='word_1_13_0_0_1' title='bbox 917 1109 972 1137'>1.00
+</span></span></span><span class='ocr_carea' id='block_1_14' title='bbox 1230 1108 1343 1141'><span class='ocr_par' id='par_1_14_0' title='bbox 1230 1108 1343 1141'><span class='ocr_line' id='line_1_14_0_0' title='bbox 1230 1108 1343 1141'>$500.00
+</span><span class='ocrx_word' id='word_1_14_0_0_0' title='bbox 1230 1108 1239 1139'>$</span><span class='ocrx_word' id='word_1_14_0_0_1' title='bbox 1246 1108 1343 1141'>500.00
+</span></span></span><span class='ocr_carea' id='block_1_15' title='bbox 223 1180 345 1207'><span class='ocr_par' id='par_1_15_0' title='bbox 223 1180 345 1207'><span class='ocr_line' id='line_1_15_0_0' title='bbox 223 1180 345 1207'>Service B
+</span><span class='ocrx_word' id='word_1_15_0_0_0' title='bbox 223 1180 320 1207'>Service </span><span class='ocrx_word' id='word_1_15_0_0_1' title='bbox 337 1180 345 1207'>B
+</span></span></span><span class='ocr_carea' id='block_1_16' title='bbox 562 1182 570 1209'><span class='ocr_par' id='par_1_16_0' title='bbox 562 1182 570 1209'><span class='ocr_line' id='line_1_16_0_0' title='bbox 562 1182 570 1209'>1
+</span><span class='ocrx_word' id='word_1_16_0_0_0' title='bbox 562 1182 570 1209'>1
+</span></span></span><span class='ocr_carea' id='block_1_17' title='bbox 896 1181 1005 1210'><span class='ocr_par' id='par_1_17_0' title='bbox 896 1181 1005 1210'><span class='ocr_line' id='line_1_17_0_0' title='bbox 896 1181 1005 1210'>$900.00
+</span><span class='ocrx_word' id='word_1_17_0_0_0' title='bbox 896 1181 904 1210'>$</span><span class='ocrx_word' id='word_1_17_0_0_1' title='bbox 910 1181 1005 1210'>900.00
+</span></span></span><span class='ocr_carea' id='block_1_18' title='bbox 1231 1180 1342 1210'><span class='ocr_par' id='par_1_18_0' title='bbox 1231 1180 1342 1210'><span class='ocr_line' id='line_1_18_0_0' title='bbox 1231 1180 1342 1210'>$900.00
+</span><span class='ocrx_word' id='word_1_18_0_0_0' title='bbox 1231 1181 1241 1212'>$</span><span class='ocrx_word' id='word_1_18_0_0_1' title='bbox 1248 1180 1342 1210'>900.00
+</span></span></span><span class='ocr_carea' id='block_1_19' title='bbox 218 1252 380 1280'><span class='ocr_par' id='par_1_19_0' title='bbox 218 1252 380 1280'><span class='ocr_line' id='line_1_19_0_0' title='bbox 218 1252 380 1280'>Resource C
+</span><span class='ocrx_word' id='word_1_19_0_0_0' title='bbox 218 1252 352 1280'>Resource </span><span class='ocrx_word' id='word_1_19_0_0_1' title='bbox 372 1252 380 1280'>C
+</span></span></span><span class='ocr_carea' id='block_1_20' title='bbox 554 1252 591 1280'><span class='ocr_par' id='par_1_20_0' title='bbox 554 1252 591 1280'><span class='ocr_line' id='line_1_20_0_0' title='bbox 554 1252 591 1280'>50
+</span><span class='ocrx_word' id='word_1_20_0_0_0' title='bbox 554 1252 591 1280'>50
+</span></span></span><span class='ocr_carea' id='block_1_21' title='bbox 896 1253 985 1281'><span class='ocr_par' id='par_1_21_0' title='bbox 896 1253 985 1281'><span class='ocr_line' id='line_1_21_0_0' title='bbox 896 1253 985 1281'>$12.00
+</span><span class='ocrx_word' id='word_1_21_0_0_0' title='bbox 896 1254 904 1282'>$</span><span class='ocrx_word' id='word_1_21_0_0_1' title='bbox 913 1253 985 1281'>12.00
+</span></span></span><span class='ocr_carea' id='block_1_22' title='bbox 1232 1251 1339 1283'><span class='ocr_par' id='par_1_22_0' title='bbox 1232 1251 1339 1283'><span class='ocr_line' id='line_1_22_0_0' title='bbox 1232 1251 1339 1283'>$600.00
+</span><span class='ocrx_word' id='word_1_22_0_0_0' title='bbox 1232 1251 1241 1283'>$</span><span class='ocrx_word' id='word_1_22_0_0_1' title='bbox 1244 1251 1339 1283'>600.00
+</span></span></span><span class='ocr_carea' id='block_1_23' title='bbox 893 1394 1022 1423'><span class='ocr_par' id='par_1_23_0' title='bbox 893 1394 1022 1423'><span class='ocr_line' id='line_1_23_0_0' title='bbox 893 1394 1022 1423'>Subtotal
+</span><span class='ocrx_word' id='word_1_23_0_0_0' title='bbox 893 1394 1022 1423'>Subtotal
+</span></span></span><span class='ocr_carea' id='block_1_24' title='bbox 1230 1394 1357 1427'><span class='ocr_par' id='par_1_24_0' title='bbox 1230 1394 1357 1427'><span class='ocr_line' id='line_1_24_0_0' title='bbox 1230 1394 1357 1427'>$2000.00
+</span><span class='ocrx_word' id='word_1_24_0_0_0' title='bbox 1230 1394 1239 1425'>$</span><span class='ocrx_word' id='word_1_24_0_0_1' title='bbox 1246 1394 1357 1427'>2000.00
+</span></span></span><span class='ocr_carea' id='block_1_25' title='bbox 897 1465 946 1494'><span class='ocr_par' id='par_1_25_0' title='bbox 897 1465 946 1494'><span class='ocr_line' id='line_1_25_0_0' title='bbox 897 1465 946 1494'>Tax
+</span><span class='ocrx_word' id='word_1_25_0_0_0' title='bbox 897 1465 946 1494'>Tax
+</span></span></span><span class='ocr_carea' id='block_1_26' title='bbox 1232 1464 1340 1494'><span class='ocr_par' id='par_1_26_0' title='bbox 1232 1464 1340 1494'><span class='ocr_line' id='line_1_26_0_0' title='bbox 1232 1464 1340 1494'>$140.00
+</span><span class='ocrx_word' id='word_1_26_0_0_0' title='bbox 1232 1464 1241 1494'>$</span><span class='ocrx_word' id='word_1_26_0_0_1' title='bbox 1249 1464 1340 1494'>140.00
+</span></span></span><span class='ocr_carea' id='block_1_27' title='bbox 890 1537 1119 1565'><span class='ocr_par' id='par_1_27_0' title='bbox 890 1537 1119 1565'><span class='ocr_line' id='line_1_27_0_0' title='bbox 890 1537 1119 1565'>BALANCE DUE
+</span><span class='ocrx_word' id='word_1_27_0_0_0' title='bbox 890 1537 1044 1565'>BALANCE </span><span class='ocrx_word' id='word_1_27_0_0_1' title='bbox 1056 1537 1119 1565'>DUE
+</span></span></span><span class='ocr_carea' id='block_1_28' title='bbox 1233 1536 1360 1567'><span class='ocr_par' id='par_1_28_0' title='bbox 1233 1536 1360 1567'><span class='ocr_line' id='line_1_28_0_0' title='bbox 1233 1536 1360 1567'>$2140.00
+</span><span class='ocrx_word' id='word_1_28_0_0_0' title='bbox 1233 1536 1241 1565'>$</span><span class='ocrx_word' id='word_1_28_0_0_1' title='bbox 1250 1536 1360 1567'>2140.00
+</span></span></span><span class='ocr_carea' id='block_1_29' title='bbox 202 1679 323 1707'><span class='ocr_par' id='par_1_29_0' title='bbox 202 1679 323 1707'><span class='ocr_line' id='line_1_29_0_0' title='bbox 202 1679 323 1707'>NOTES:
+</span><span class='ocrx_word' id='word_1_29_0_0_0' title='bbox 202 1679 312 1707'>NOTES</span><span class='ocrx_word' id='word_1_29_0_0_1' title='bbox 315 1679 323 1707'>:
+</span></span></span><span class='ocr_carea' id='block_1_30' title='bbox 223 1781 620 1818'><span class='ocr_par' id='par_1_30_0' title='bbox 223 1781 620 1818'><span class='ocr_line' id='line_1_30_0_0' title='bbox 223 1781 620 1818'>Supplies used for Project Q.
+</span><span class='ocrx_word' id='word_1_30_0_0_0' title='bbox 223 1781 341 1818'>Supplies </span><span class='ocrx_word' id='word_1_30_0_0_1' title='bbox 349 1781 414 1818'>used </span><span class='ocrx_word' id='word_1_30_0_0_2' title='bbox 429 1781 466 1818'>for </span><span class='ocrx_word' id='word_1_30_0_0_3' title='bbox 474 1781 577 1818'>Project </span><span class='ocrx_word' id='word_1_30_0_0_4' title='bbox 585 1781 620 1818'>Q.
+</span></span></span></div>
\ No newline at end of file
diff --git a/tests/unit/test_document.py b/tests/unit/test_document.py
index 5c718e76..092d1b0a 100644
--- a/tests/unit/test_document.py
+++ b/tests/unit/test_document.py
@@ -418,7 +418,7 @@ def test_search_page_with_multiple_pages(get_bytes_multiple_files_mock):
     actual_pages = doc.search_pages(target_string="Invoice")
 
     get_bytes_multiple_files_mock.assert_called_once()
-    assert len(actual_pages) == 48
+    assert len(actual_pages) == 5
 
 
 def test_search_page_with_no_results(get_bytes_single_file_mock):
@@ -623,10 +623,13 @@ def test_convert_document_to_annotate_file_json_response():
 
 
 def test_export_images(get_bytes_images_mock):
+    output_path = "resources/output/"
+    if os.path.exists(output_path):
+        shutil.rmtree(output_path)
+
     doc = document.Document.from_gcs(
         gcs_bucket_name="test-directory", gcs_prefix="documentai/output/123456789/0"
     )
-    output_path = "resources/output/"
 
     os.makedirs(output_path)
 
@@ -637,9 +640,22 @@ def test_export_images(get_bytes_images_mock):
     )
     get_bytes_images_mock.assert_called_once()
 
-    assert os.path.exists(output_path)
-    shutil.rmtree(output_path)
-
     assert actual == [
         "exported_photo_0_Portrait.png",
     ]
+
+    assert os.path.exists(output_path)
+    shutil.rmtree(output_path)
+
+
+def test_export_hocr_str():
+    wrapped_document = document.Document.from_document_path(
+        document_path="tests/unit/resources/0/toolbox_invoice_test-0.json"
+    )
+
+    actual_hocr = wrapped_document.export_hocr_str(title="toolbox_invoice_test-0")
+
+    with open("tests/unit/resources/toolbox_invoice_test_0_hocr.xml", "r") as f:
+        expected = f.read()
+
+    assert actual_hocr == expected
diff --git a/tests/unit/test_page.py b/tests/unit/test_page.py
index c16f134e..19f1f818 100644
--- a/tests/unit/test_page.py
+++ b/tests/unit/test_page.py
@@ -42,7 +42,7 @@ def docproto_form_parser():
 def test_table_to_csv(docproto):
     docproto_page = docproto.pages[0]
     table = page.Table(
-        documentai_table=docproto_page.tables[0], document_text=docproto.text
+        documentai_object=docproto_page.tables[0], document_text=docproto.text
     )
 
     contents = table.to_csv()
@@ -63,7 +63,7 @@ def test_table_to_csv(docproto):
 def test_table_to_csv_with_empty_body_rows(docproto):
     docproto_page = docproto.pages[0]
     table = page.Table(
-        documentai_table=docproto_page.tables[0], document_text=docproto.text
+        documentai_object=docproto_page.tables[0], document_text=docproto.text
     )
     table.body_rows = None
 
@@ -79,7 +79,7 @@ def test_table_to_csv_with_empty_body_rows(docproto):
 def test_table_to_csv_with_empty_header_rows(docproto):
     docproto_page = docproto.pages[0]
     table = page.Table(
-        documentai_table=docproto_page.tables[0], document_text=docproto.text
+        documentai_object=docproto_page.tables[0], document_text=docproto.text
     )
     table.header_rows = None
 
@@ -101,7 +101,7 @@ def test_table_to_csv_with_empty_header_rows(docproto):
 def test_table_to_csv_with_empty_header_rows_and_single_body(docproto):
     docproto_page = docproto.pages[0]
     table = page.Table(
-        documentai_table=docproto_page.tables[0], document_text=docproto.text
+        documentai_object=docproto_page.tables[0], document_text=docproto.text
     )
     table.header_rows = []
     table.body_rows = [[table.body_rows[0][0]]]
@@ -118,7 +118,7 @@ def test_table_to_csv_with_empty_header_rows_and_single_body(docproto):
 def test_table_to_dataframe(docproto):
     docproto_page = docproto.pages[0]
     table = page.Table(
-        documentai_table=docproto_page.tables[0], document_text=docproto.text
+        documentai_object=docproto_page.tables[0], document_text=docproto.text
     )
     contents = table.to_dataframe()
 
@@ -133,39 +133,81 @@ def test_trim_text():
     assert output_text == "Sally Walker"
 
 
-def test_header_for_table_rows_from_documentai_table_rows(docproto):
+def test_text_from_element_with_layout(docproto):
     docproto_page = docproto.pages[0]
 
-    header_rows = page._table_rows_from_documentai_table_rows(
-        table_rows=docproto_page.tables[0].header_rows, text=docproto.text
+    text = page._text_from_layout(
+        layout=docproto_page.paragraphs[0].layout, text=docproto.text
     )
-    assert header_rows == [["Item Description", "Quantity", "Price", "Amount"]]
+
+    assert text == "Invoice\n"
 
 
-def test_body_for_table_rows_from_documentai_table_rows(docproto):
-    docproto_page = docproto.pages[0]
+def test_get_blocks(docproto):
 
-    body_rows = page._table_rows_from_documentai_table_rows(
-        table_rows=docproto_page.tables[0].body_rows, text=docproto.text
+    wrapped_page = page.Page(
+        documentai_object=docproto.pages[0], document_text=docproto.text
     )
-    assert body_rows == [
-        ["Tool A", "500", "$1.00", "$500.00"],
-        ["Service B", "1", "$900.00", "$900.00"],
-        ["Resource C", "50", "$12.00", "$600.00"],
-        ["", "", "Subtotal", "$2000.00"],
-        ["", "", "Tax", "$140.00"],
-        ["", "", "BALANCE DUE", "$2140.00"],
-    ]
 
+    docproto_blocks = docproto.pages[0].blocks
 
-def test_text_from_element_with_layout(docproto):
-    docproto_page = docproto.pages[0]
+    blocks = page._get_blocks(blocks=docproto_blocks, page=wrapped_page)
 
-    text = page._text_from_layout(
-        layout=docproto_page.paragraphs[0].layout, text=docproto.text
+    assert len(blocks) == 31
+    assert blocks[0].text == "Invoice\n"
+    assert blocks[0].hocr_bounding_box == "bbox 1310 220 1534 282"
+    # checking cached value
+    assert blocks[0].text == "Invoice\n"
+    assert blocks[0].hocr_bounding_box == "bbox 1310 220 1534 282"
+
+
+def test_get_paragraphs(docproto):
+    wrapped_page = page.Page(
+        documentai_object=docproto.pages[0], document_text=docproto.text
     )
+    docproto_paragraphs = docproto.pages[0].paragraphs
 
-    assert text == "Invoice\n"
+    paragraphs = page._get_paragraphs(paragraphs=docproto_paragraphs, page=wrapped_page)
+
+    assert len(paragraphs) == 31
+    assert paragraphs[0].text == "Invoice\n"
+    assert paragraphs[0].hocr_bounding_box == "bbox 1310 220 1534 282"
+    # checking cached value
+    assert paragraphs[0].text == "Invoice\n"
+    assert paragraphs[0].hocr_bounding_box == "bbox 1310 220 1534 282"
+
+
+def test_get_lines(docproto):
+    wrapped_page = page.Page(
+        documentai_object=docproto.pages[0], document_text=docproto.text
+    )
+    docproto_lines = docproto.pages[0].lines
+
+    lines = page._get_lines(lines=docproto_lines, page=wrapped_page)
+
+    assert len(lines) == 37
+    assert lines[36].text == "Supplies used for Project Q.\n"
+    assert lines[36].hocr_bounding_box == "bbox 223 1781 620 1818"
+    # checking cached value
+    assert lines[36].text == "Supplies used for Project Q.\n"
+    assert lines[36].hocr_bounding_box == "bbox 223 1781 620 1818"
+
+
+def test_get_tokens(docproto):
+    wrapped_page = page.Page(
+        documentai_object=docproto.pages[0], document_text=docproto.text
+    )
+    wrapped_page.tokens = []
+    docproto_tokens = docproto.pages[0].tokens
+
+    tokens = page._get_tokens(tokens=docproto_tokens, page=wrapped_page)
+
+    assert len(tokens) == 86
+    assert tokens[85].text == "Q.\n"
+    assert tokens[85].hocr_bounding_box == "bbox 585 1781 620 1818"
+    # checking cached value
+    assert tokens[85].text == "Q.\n"
+    assert tokens[85].hocr_bounding_box == "bbox 585 1781 620 1818"
 
 
 # Class init Tests
@@ -174,7 +216,7 @@ def test_text_from_element_with_layout(docproto):
 def test_FormField(docproto_form_parser):
     documentai_formfield = docproto_form_parser.pages[0].form_fields[4]
     form_field = page.FormField(
-        documentai_formfield=documentai_formfield,
+        documentai_object=documentai_formfield,
         document_text=docproto_form_parser.text,
     )
 
@@ -183,24 +225,31 @@ def test_FormField(docproto_form_parser):
 
 
 def test_Block(docproto):
+    wrapped_page = page.Page(
+        documentai_object=docproto.pages[0], document_text=docproto.text
+    )
     docai_block = docproto.pages[0].blocks[0]
-    block = page.Block(documentai_block=docai_block, document_text=docproto.text)
+    block = page.Block(documentai_object=docai_block, _page=wrapped_page)
 
     assert block.text == "Invoice\n"
 
 
 def test_Paragraph(docproto):
-    docai_paragraph = docproto.pages[0].paragraphs[0]
-    paragraph = page.Paragraph(
-        documentai_paragraph=docai_paragraph, document_text=docproto.text
+    wrapped_page = page.Page(
+        documentai_object=docproto.pages[0], document_text=docproto.text
     )
+    docai_paragraph = docproto.pages[0].paragraphs[0]
+    paragraph = page.Paragraph(documentai_object=docai_paragraph, _page=wrapped_page)
 
     assert paragraph.text == "Invoice\n"
 
 
 def test_Line(docproto):
+    wrapped_page = page.Page(
+        documentai_object=docproto.pages[0], document_text=docproto.text
+    )
     docai_line = docproto.pages[0].lines[36]
-    line = page.Paragraph(documentai_paragraph=docai_line, document_text=docproto.text)
+    line = page.Paragraph(documentai_object=docai_line, _page=wrapped_page)
 
     assert line.text == "Supplies used for Project Q.\n"
 
@@ -208,27 +257,103 @@ def test_Line(docproto):
 def test_Table(docproto):
     docproto_page = docproto.pages[0]
     table = page.Table(
-        documentai_table=docproto_page.tables[0], document_text=docproto.text
+        documentai_object=docproto_page.tables[0], document_text=docproto.text
     )
 
     assert len(table.body_rows) == 6
     assert len(table.header_rows[0]) == 4
 
 
+def test_to_hocr(docproto):
+    wrapped_page = page.Page(
+        documentai_object=docproto.pages[0], document_text=docproto.text
+    )
+    hocr_str = wrapped_page.to_hocr()
+
+    with open("tests/unit/resources/toolbox_invoice_test_page_hocr.xml", "r") as f:
+        expected = f.read()
+
+    assert hocr_str == expected
+
+
+def test_get_hocr_bounding_box(docproto):
+    hocr_bounding_box_normalized = page._get_hocr_bounding_box(
+        element_with_layout=docproto.pages[0], dimension=docproto.pages[0].dimension
+    )
+
+    assert hocr_bounding_box_normalized == "bbox 0 0 1758 2275"
+
+    hocr_bounding_box_with_vertices = page._get_hocr_bounding_box(
+        element_with_layout=docproto.pages[0].blocks[0],
+        dimension=docproto.pages[0].dimension,
+    )
+
+    assert hocr_bounding_box_with_vertices == "bbox 1310 220 1534 282"
+
+
+def test_get_xy(docproto):
+    max_x, max_y = page._get_xy(
+        docproto.pages[0], docproto.pages[0].dimension, False, False
+    )
+    min_x, min_y = page._get_xy(
+        docproto.pages[0], docproto.pages[0].dimension, False, True
+    )
+    normalized_max_x, normalized_max_y = page._get_xy(
+        docproto.pages[0], docproto.pages[0].dimension, True, False
+    )
+    normalized_min_x, normalized_min_y = page._get_xy(
+        docproto.pages[0], docproto.pages[0].dimension, True, True
+    )
+
+    assert max_x == 1758 and max_y == 2275
+
+    assert min_x == 0 and min_y == 0
+
+    assert normalized_min_x == 0.0 and normalized_min_y == 0.0
+
+    assert normalized_max_x == 3090564.0 and normalized_max_y == 5175625.0
+
+
 def test_Page(docproto):
     docproto_page = docproto.pages[0]
-    wrapped_page = page.Page(documentai_page=docproto_page, document_text=docproto.text)
 
-    assert "Invoice" in wrapped_page.text
+    wrapped_page = page.Page(
+        documentai_object=docproto_page, document_text=docproto.text
+    )
+
+    assert "Invoice" in wrapped_page.document_text
     assert wrapped_page.page_number == 1
 
     assert len(wrapped_page.lines) == 37
     assert len(wrapped_page.paragraphs) == 31
     assert len(wrapped_page.blocks) == 31
+    assert len(wrapped_page.tokens) == 86
     assert len(wrapped_page.form_fields) == 13
 
     assert wrapped_page.lines[0].text == "Invoice\n"
+    assert wrapped_page.lines[0].tokens[0].text == "Invoice\n"
+    assert len(wrapped_page.lines[0].tokens) == 1
+
     assert wrapped_page.paragraphs[30].text == "Supplies used for Project Q.\n"
+    assert len(wrapped_page.paragraphs[30].lines) == 1
+    assert wrapped_page.paragraphs[30].lines[0].text == "Supplies used for Project Q.\n"
+    assert wrapped_page.paragraphs[30].lines[0].tokens[0].text == "Supplies "
+
     assert wrapped_page.blocks[30].text == "Supplies used for Project Q.\n"
+
+    assert (
+        wrapped_page.blocks[30].paragraphs[0].text == "Supplies used for Project Q.\n"
+    )
+    assert (
+        wrapped_page.blocks[30].paragraphs[0].lines[0].text
+        == "Supplies used for Project Q.\n"
+    )
+    assert wrapped_page.blocks[30].paragraphs[0].lines[0].tokens[0].text == "Supplies "
+    assert wrapped_page.tokens[85].text == "Q.\n"
+
+    assert wrapped_page.hocr_bounding_box == "bbox 0 0 1758 2275"
+    # checking cached value
+    assert wrapped_page.hocr_bounding_box == "bbox 0 0 1758 2275"
+
     assert wrapped_page.form_fields[0].field_name == "BALANCE DUE"
     assert wrapped_page.form_fields[0].field_value == "$2140.00"

From a38b68ce2647ec464de37eee88dcf725c81e3687 Mon Sep 17 00:00:00 2001
From: Mend Renovate <bot@renovateapp.com>
Date: Wed, 5 Jul 2023 20:17:34 +0200
Subject: [PATCH 11/13] chore(deps): update dependency google-cloud-documentai
 to v2.16.1 (#138)

---
 samples/snippets/requirements.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/samples/snippets/requirements.txt b/samples/snippets/requirements.txt
index 3d657cf5..6c74c550 100644
--- a/samples/snippets/requirements.txt
+++ b/samples/snippets/requirements.txt
@@ -1,4 +1,4 @@
 google-cloud-bigquery==3.11.3
-google-cloud-documentai==2.16.0
+google-cloud-documentai==2.16.1
 google-cloud-storage==2.10.0
 google-cloud-documentai-toolbox==0.4.1a0

From 4f7ba1b5bf9f0882acc07091c061dd9c30367e4b Mon Sep 17 00:00:00 2001
From: Holt Skinner <13262395+holtskinner@users.noreply.github.com>
Date: Fri, 7 Jul 2023 11:46:43 -0500
Subject: [PATCH 12/13] refactor: Refactor of hocr functions and fixing lost
 changes (#137)

* refactor: Reorganize hocr functions

- Use more jinja templating instead of hardcoding strings
- Simplified bounding box function
- Changed parameter name for `_get_hocr_bounding_box` to `page_dimension` for more clarity.

* samples: Added sample for convert to hocr

* refactor: Reordering of classes in page.py

* refactor: Re-added refactoring to remove extra `get_*()` methods in page.py

- Added in https://github.com/googleapis/python-documentai-toolbox/pull/110 Lost in Merge

* fix: Moved `templates` directory into package.
- Required for template to work in installed library
---
 .../templates/hocr_document_template.xml.j2   |  29 ++
 .../documentai_toolbox/wrappers/document.py   |  22 +-
 .../cloud/documentai_toolbox/wrappers/page.py | 293 ++++--------------
 .../convert_document_to_hocr_sample.py        |  37 +++
 .../test_convert_document_to_hocr_sample.py   |  30 ++
 templates/hocr_xml_template.txt               |  15 -
 .../toolbox_invoice_test_page_hocr.xml        |  75 -----
 tests/unit/test_page.py                       | 149 +++------
 8 files changed, 206 insertions(+), 444 deletions(-)
 create mode 100644 google/cloud/documentai_toolbox/templates/hocr_document_template.xml.j2
 create mode 100644 samples/snippets/convert_document_to_hocr_sample.py
 create mode 100644 samples/snippets/test_convert_document_to_hocr_sample.py
 delete mode 100644 templates/hocr_xml_template.txt
 delete mode 100644 tests/unit/resources/toolbox_invoice_test_page_hocr.xml

diff --git a/google/cloud/documentai_toolbox/templates/hocr_document_template.xml.j2 b/google/cloud/documentai_toolbox/templates/hocr_document_template.xml.j2
new file mode 100644
index 00000000..57c7e976
--- /dev/null
+++ b/google/cloud/documentai_toolbox/templates/hocr_document_template.xml.j2
@@ -0,0 +1,29 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="unknown" lang="unknown">
+<head>
+<title>{{ title }}</title>
+<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
+<meta name="ocr-system" content="Document AI OCR" />
+<meta name="ocr-langs" content="unknown" />
+<meta name="ocr-number-of-pages" content="{{ pages|length }}" />
+<meta name="ocr-capabilities" content="ocr_page ocr_carea ocr_par ocr_line ocrx_word" />
+</head>
+<body>
+{% for page in pages -%}
+    {% set page_number = page.documentai_object.page_number -%}
+    <div class='ocr_page' lang='unknown' title='{{ page.hocr_bounding_box -}}'>{% for docai_block in page.blocks -%}
+        {% set bidx = loop.index0 -%}
+        <span class='ocr_carea' id='block_{{ page_number }}_{{ bidx }}' title='{{ docai_block.hocr_bounding_box -}}'>{% for paragraph in docai_block.paragraphs -%}
+            {% set paridx = loop.index0 -%}
+            <span class='ocr_par' id='par_{{ page_number }}_{{ bidx }}_{{ paridx }}' title='{{ paragraph.hocr_bounding_box -}}'>{% for line in paragraph.lines -%}
+                {% set lidx = loop.index0 -%}
+                <span class='ocr_line' id='line_{{ page_number }}_{{ bidx }}_{{ paridx }}_{{ lidx }}' title='{{ line.hocr_bounding_box }}'>{{ line.text }}</span>{% for token in line.tokens -%}
+                    {% set tidx = loop.index0 -%}
+                    <span class='ocrx_word' id='word_{{ page_number }}_{{ bidx }}_{{ paridx }}_{{ lidx }}_{{ tidx }}' title='{{ token.hocr_bounding_box }}'>{{ token.text }}</span>{% endfor -%}{% endfor -%}
+            </span>{% endfor -%}
+        </span>{% endfor -%}
+    </div>
+{% endfor -%}
+</body>
+</html>
diff --git a/google/cloud/documentai_toolbox/wrappers/document.py b/google/cloud/documentai_toolbox/wrappers/document.py
index 6b5a13a4..1972377a 100644
--- a/google/cloud/documentai_toolbox/wrappers/document.py
+++ b/google/cloud/documentai_toolbox/wrappers/document.py
@@ -43,7 +43,7 @@
 
 from pikepdf import Pdf
 
-from jinja2 import Environment, FileSystemLoader
+from jinja2 import Environment, PackageLoader
 
 
 def _entities_from_shards(
@@ -773,6 +773,12 @@ def export_images(
     def export_hocr_str(self, title: str) -> str:
         r"""Exports a string hOCR version of the Document.
 
+            The format for the id of the object follows as such:
+                object_{page_index}_...
+
+            For example words will have the following id format:
+                word_{page_index}_{block_index}_{paragraph_index}_{line_index}_{word_index}
+
         Args:
             title (str):
                 Required. The title for hocr_page and head.
@@ -781,15 +787,9 @@ def export_hocr_str(self, title: str) -> str:
             str:
                 A string hOCR version of the Document
         """
-        environment = Environment(loader=FileSystemLoader("templates/"))
-        template = environment.get_template("hocr_xml_template.txt")
-        hocr_pages = ""
-        number_of_pages = len(self.pages)
-        for page_to_export in self.pages:
-            hocr_pages += page_to_export.to_hocr()
-
-        content = template.render(
-            hocr_pages=hocr_pages, number_of_pages=number_of_pages, title=title
+        environment = Environment(
+            loader=PackageLoader("google.cloud.documentai_toolbox", "templates")
         )
-
+        template = environment.get_template("hocr_document_template.xml.j2")
+        content = template.render(pages=self.pages, title=title)
         return content
diff --git a/google/cloud/documentai_toolbox/wrappers/page.py b/google/cloud/documentai_toolbox/wrappers/page.py
index f97d39e0..e2187312 100644
--- a/google/cloud/documentai_toolbox/wrappers/page.py
+++ b/google/cloud/documentai_toolbox/wrappers/page.py
@@ -16,12 +16,11 @@
 """Wrappers for Document AI Page type."""
 
 import dataclasses
-import html
-from typing import List, Optional, Tuple, Union
+from typing import List, Optional, Union
 
+from google.cloud import documentai
 from google.cloud.documentai_toolbox.constants import ElementWithLayout
 
-from google.cloud import documentai
 import pandas as pd
 
 ChildrenElements = Union[
@@ -112,6 +111,36 @@ def sample_table_to_csv():
         return self.to_dataframe().to_csv(index=False)
 
 
+@dataclasses.dataclass
+class FormField:
+    """Represents a wrapped documentai.Document.Page.FormField.
+
+    Attributes:
+        documentai_object (google.cloud.documentai.Document.Page.FormField):
+            Required. The original google.cloud.documentai.Document.Page.FormField object.
+        document_text (str):
+            Required. UTF-8 encoded text in reading order from the document.
+        field_name (str):
+            Required. The form field name
+        field_value (str):
+            Required. The form field value
+    """
+
+    documentai_object: documentai.Document.Page.FormField
+    document_text: dataclasses.InitVar[str]
+
+    field_name: str = dataclasses.field(init=False)
+    field_value: str = dataclasses.field(init=False)
+
+    def __post_init__(self, document_text) -> None:
+        self.field_name = _trim_text(
+            _text_from_layout(self.documentai_object.field_name, document_text)
+        )
+        self.field_value = _trim_text(
+            _text_from_layout(self.documentai_object.field_value, document_text)
+        )
+
+
 @dataclasses.dataclass
 class Token:
     """Represents a wrapped documentai.Document.Page.
@@ -143,7 +172,7 @@ def hocr_bounding_box(self):
         if self._hocr_bounding_box is None:
             self._hocr_bounding_box = _get_hocr_bounding_box(
                 element_with_layout=self.documentai_object,
-                dimension=self._page.documentai_object.dimension,
+                page_dimension=self._page.documentai_object.dimension,
             )
         return self._hocr_bounding_box
 
@@ -186,41 +215,11 @@ def hocr_bounding_box(self):
         if self._hocr_bounding_box is None:
             self._hocr_bounding_box = _get_hocr_bounding_box(
                 element_with_layout=self.documentai_object,
-                dimension=self._page.documentai_object.dimension,
+                page_dimension=self._page.documentai_object.dimension,
             )
         return self._hocr_bounding_box
 
 
-@dataclasses.dataclass
-class FormField:
-    """Represents a wrapped documentai.Document.Page.FormField.
-
-    Attributes:
-        documentai_object (google.cloud.documentai.Document.Page.FormField):
-            Required. The original google.cloud.documentai.Document.Page.FormField object.
-        document_text (str):
-            Required. UTF-8 encoded text in reading order from the document.
-        field_name (str):
-            Required. The form field name
-        field_value (str):
-            Required. The form field value
-    """
-
-    documentai_object: documentai.Document.Page.FormField
-    document_text: dataclasses.InitVar[str]
-
-    field_name: str = dataclasses.field(init=False)
-    field_value: str = dataclasses.field(init=False)
-
-    def __post_init__(self, document_text) -> None:
-        self.field_name = _trim_text(
-            _text_from_layout(self.documentai_object.field_name, document_text)
-        )
-        self.field_value = _trim_text(
-            _text_from_layout(self.documentai_object.field_value, document_text)
-        )
-
-
 @dataclasses.dataclass
 class Paragraph:
     """Represents a wrapped documentai.Document.Page.Paragraph.
@@ -257,7 +256,7 @@ def hocr_bounding_box(self):
         if self._hocr_bounding_box is None:
             self._hocr_bounding_box = _get_hocr_bounding_box(
                 element_with_layout=self.documentai_object,
-                dimension=self._page.documentai_object.dimension,
+                page_dimension=self._page.documentai_object.dimension,
             )
         return self._hocr_bounding_box
 
@@ -298,7 +297,7 @@ def hocr_bounding_box(self):
         if self._hocr_bounding_box is None:
             self._hocr_bounding_box = _get_hocr_bounding_box(
                 element_with_layout=self.documentai_object,
-                dimension=self._page.documentai_object.dimension,
+                page_dimension=self._page.documentai_object.dimension,
             )
         return self._hocr_bounding_box
 
@@ -332,43 +331,9 @@ def _table_rows_from_documentai_table_rows(
     return body_rows
 
 
-def _get_xy(
-    element: ElementWithLayout,
-    dimension: documentai.Document.Page.Dimension,
-    normalized: bool = False,
-    min: bool = False,
-) -> Tuple[int, int]:
-    r"""Returns hocr xy coordinates corresponding to elements bounding box.
-
-    Args:
-        element (ElementWithLayout):
-            Required. an element with layout fields.
-        dimension (documentai.Document.Page.Dimension):
-            Required. Page dimension.
-        normalized (Boolean):
-            Required. Wether element.layout.bounding_poly is normalized
-        min (Boolean):
-            Required. Wether xy should be min
-
-    Returns:
-        Tuple[int, int]:
-            hocr xy coordinates corresponding to elements bounding box.
-    """
-    index = 0 if min else 2
-    if not normalized:
-        return (
-            element.layout.bounding_poly.vertices[index].x,
-            element.layout.bounding_poly.vertices[index].y,
-        )
-    return (
-        element.layout.bounding_poly.vertices[index].x * dimension.width,
-        element.layout.bounding_poly.vertices[index].y * dimension.height,
-    )
-
-
 def _get_hocr_bounding_box(
     element_with_layout: ElementWithLayout,
-    dimension: documentai.Document.Page.Dimension,
+    page_dimension: documentai.Document.Page.Dimension,
 ) -> str:
     r"""Returns a hOCR bounding box string.
 
@@ -382,13 +347,11 @@ def _get_hocr_bounding_box(
         str:
             hOCR bounding box sring.
     """
-
-    if element_with_layout.layout.bounding_poly.vertices:
-        min_x, min_y = _get_xy(element_with_layout, dimension, False, True)
-        max_x, max_y = _get_xy(element_with_layout, dimension, False, False)
-    else:
-        min_x, min_y = _get_xy(element_with_layout, dimension, True, True)
-        max_x, max_y = _get_xy(element_with_layout, dimension, True, False)
+    vertices = [
+        (int(v.x * page_dimension.width + 0.5), int(v.y * page_dimension.height + 0.5))
+        for v in element_with_layout.layout.bounding_poly.normalized_vertices
+    ]
+    (min_x, min_y), (max_x, max_y) = vertices[0], vertices[2]
 
     return f"bbox {min_x} {min_y} {max_x} {max_y}"
 
@@ -442,118 +405,6 @@ def _get_children_of_element(element: ElementWithLayout, children: ChildrenEleme
     ]
 
 
-def _get_blocks(
-    blocks: List[documentai.Document.Page.Block], page: "Page"
-) -> List[Block]:
-    r"""Returns a list of wrapped Blocks.
-
-    Args:
-        blocks (List[documentai.Document.Page.Block]):
-            Required. A list of documentai.Document.Page.Block objects.
-        page (Page):
-            Required. The Page object.
-
-    Returns:
-        List[Block]:
-             A list of wrapped Blocks.
-    """
-    result = []
-
-    for block in blocks:
-        result.append(
-            Block(
-                documentai_object=block,
-                _page=page,
-            )
-        )
-
-    return result
-
-
-def _get_paragraphs(
-    paragraphs: List[documentai.Document.Page.Paragraph],
-    page: "Page",
-) -> List[Paragraph]:
-    r"""Returns a list of wrapped Paragraphs.
-
-    Args:
-        paragraphs (List[documentai.Document.Page.Paragraph]):
-            Required. A list of documentai.Document.Page.Paragraph objects.
-        page (Page):
-            Required. The Page object.
-
-    Returns:
-        List[Paragraph]:
-             A list of wrapped Paragraphs.
-    """
-    result = []
-
-    for paragraph in paragraphs:
-        result.append(
-            Paragraph(
-                documentai_object=paragraph,
-                _page=page,
-            )
-        )
-
-    return result
-
-
-def _get_tokens(
-    tokens: List[documentai.Document.Page.Token], page: "Page"
-) -> List[Token]:
-    r"""Returns a list of wrapped tokens.
-
-    Args:
-        tokens (List[documentai.Document.Page.Token]):
-            Required. A list of documentai.Document.Page.Token.
-        page (Page):
-            Required. The Page object.
-
-    Returns:
-        List[Token]:
-            A list of wrapped tokens.
-    """
-    result = []
-
-    for token in tokens:
-        result.append(
-            Token(
-                documentai_object=token,
-                _page=page,
-            )
-        )
-
-    return result
-
-
-def _get_lines(lines: List[documentai.Document.Page.Line], page: "Page") -> List[Line]:
-    r"""Returns a list of wrapped lines.
-
-    Args:
-        lines (List[documentai.Document.Page.Line]):
-            Required. A list of documentai.Document.Page.Line objects.
-        page (Page):
-            Required. The Page object.
-
-    Returns:
-        List[Line]:
-            A list of wrapped Lines.
-    """
-
-    result = []
-
-    for line in lines:
-        result.append(
-            Line(
-                documentai_object=line,
-                _page=page,
-            )
-        )
-
-    return result
-
-
 def _trim_text(text: str) -> str:
     r"""Remove extra space characters from text (blank, newline, tab, etc.)
 
@@ -637,54 +488,34 @@ def __post_init__(self):
             for form_field in self.documentai_object.form_fields
         ]
 
-        self.tokens = _get_tokens(tokens=self.documentai_object.tokens, page=self)
-        self.lines = _get_lines(lines=self.documentai_object.lines, page=self)
-        self.paragraphs = _get_paragraphs(
-            paragraphs=self.documentai_object.paragraphs, page=self
-        )
-        self.blocks = _get_blocks(
-            blocks=self.documentai_object.blocks,
-            page=self,
-        )
-
-    def to_hocr(self):
-        r"""Exports a string hOCR version of the documentai.Document.Page.
-
-        The format for the id of the object follows as such:
-            object_{page_index}_...
+        self.tokens = [
+            Token(
+                documentai_object=token,
+                _page=self,
+            )
+            for token in self.documentai_object.tokens
+        ]
 
-        For example words will have the following id format:
-            word_{page_index}_{block_index}_{paragraph_index}_{line_index}_{word_index}
+        self.lines = [
+            Line(documentai_object=line, _page=self)
+            for line in self.documentai_object.lines
+        ]
 
-        Args:
+        self.paragraphs = [
+            Paragraph(documentai_object=paragraph, _page=self)
+            for paragraph in self.documentai_object.paragraphs
+        ]
 
-        Returns:
-            str:
-                A string hOCR version of the documentai.Document.Page.
-        """
-        f = ""
-        pidx = self.documentai_object.page_number
-        f += f"<div class='ocr_page' lang='unknown' title='{self.hocr_bounding_box}'>"
-        for bidx, block in enumerate(self.blocks):
-            f += f"<span class='ocr_carea' id='block_{pidx}_{bidx}' title='{block.hocr_bounding_box}'>"
-            for paridx, paragraph in enumerate(block.paragraphs):
-                f += f"<span class='ocr_par' id='par_{pidx}_{bidx}_{paridx}' title='{paragraph.hocr_bounding_box}'>"
-                for lidx, line in enumerate(paragraph.lines):
-                    line_text = html.escape(line.text)
-                    f += f"<span class='ocr_line' id='line_{pidx}_{bidx}_{paridx}_{lidx}' title='{line.hocr_bounding_box}'>{line_text}</span>"
-                    for tidx, token in enumerate(line.tokens):
-                        word_text = html.escape(token.text)
-                        f += f"<span class='ocrx_word' id='word_{pidx}_{bidx}_{paridx}_{lidx}_{tidx}' title='{token.hocr_bounding_box}'>{word_text}</span>"
-                f += "</span>"
-            f += "</span>"
-        f += "</div>"
-        return f
+        self.blocks = [
+            Block(documentai_object=block, _page=self)
+            for block in self.documentai_object.blocks
+        ]
 
     @property
     def hocr_bounding_box(self):
         if self._hocr_bounding_box is None:
             self._hocr_bounding_box = _get_hocr_bounding_box(
                 element_with_layout=self.documentai_object,
-                dimension=self.documentai_object.dimension,
+                page_dimension=self.documentai_object.dimension,
             )
         return self._hocr_bounding_box
diff --git a/samples/snippets/convert_document_to_hocr_sample.py b/samples/snippets/convert_document_to_hocr_sample.py
new file mode 100644
index 00000000..d89fe21f
--- /dev/null
+++ b/samples/snippets/convert_document_to_hocr_sample.py
@@ -0,0 +1,37 @@
+# Copyright 2023 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+
+# [START documentai_toolbox_document_to_hocr]
+
+from google.cloud.documentai_toolbox import document
+
+# TODO(developer): Uncomment these variables before running the sample.
+# Given a document.proto or sharded document.proto in path gs://bucket/path/to/folder
+# document_path = "path/to/local/document.json"
+# document_title = "your-document-title"
+
+
+def convert_document_to_hocr_sample(document_path: str, document_title: str) -> str:
+    wrapped_document = document.Document.from_document_path(document_path=document_path)
+
+    # Converting wrapped_document to hOCR format
+    hocr_string = wrapped_document.export_hocr_str(title=document_title)
+
+    print("Document converted to hOCR!")
+    return hocr_string
+
+
+# [END documentai_toolbox_document_to_hocr]
diff --git a/samples/snippets/test_convert_document_to_hocr_sample.py b/samples/snippets/test_convert_document_to_hocr_sample.py
new file mode 100644
index 00000000..e3ed9f2b
--- /dev/null
+++ b/samples/snippets/test_convert_document_to_hocr_sample.py
@@ -0,0 +1,30 @@
+# Copyright 2023 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+from samples.snippets import convert_document_to_hocr_sample
+
+document_path = "../../tests/unit/resources/0/toolbox_invoice_test-0.json"
+document_title = "toolbox_invoice_test-0"
+
+
+def test_convert_document_to_hocr_sample() -> None:
+    actual = convert_document_to_hocr_sample.convert_document_to_hocr_sample(
+        document_path=document_path, document_title=document_title
+    )
+
+    with open("../../tests/unit/resources/toolbox_invoice_test_0_hocr.xml", "r") as f:
+        expected = f.read()
+
+    assert actual == expected
diff --git a/templates/hocr_xml_template.txt b/templates/hocr_xml_template.txt
deleted file mode 100644
index 9b7547e7..00000000
--- a/templates/hocr_xml_template.txt
+++ /dev/null
@@ -1,15 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="unknown" lang="unknown">
-<head>
-<title>{{ title }}</title>
-<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
-<meta name="ocr-system" content="Document AI OCR" />
-<meta name="ocr-langs" content="unknown" />
-<meta name="ocr-number-of-pages" content="{{ number_of_pages }}" />
-<meta name="ocr-capabilities" content="ocr_page ocr_carea ocr_par ocr_line ocrx_word" />
-</head>
-<body>
-{{ hocr_pages }}
-</body>
-</html>
\ No newline at end of file
diff --git a/tests/unit/resources/toolbox_invoice_test_page_hocr.xml b/tests/unit/resources/toolbox_invoice_test_page_hocr.xml
deleted file mode 100644
index 41d0b05f..00000000
--- a/tests/unit/resources/toolbox_invoice_test_page_hocr.xml
+++ /dev/null
@@ -1,75 +0,0 @@
-<div class='ocr_page' lang='unknown' title='bbox 0 0 1758 2275'><span class='ocr_carea' id='block_1_0' title='bbox 1310 220 1534 282'><span class='ocr_par' id='par_1_0_0' title='bbox 1310 220 1534 282'><span class='ocr_line' id='line_1_0_0_0' title='bbox 1310 220 1534 282'>Invoice
-</span><span class='ocrx_word' id='word_1_0_0_0_0' title='bbox 1310 220 1534 282'>Invoice
-</span></span></span><span class='ocr_carea' id='block_1_1' title='bbox 1287 322 1547 396'><span class='ocr_par' id='par_1_1_0' title='bbox 1287 322 1547 396'><span class='ocr_line' id='line_1_1_0_0' title='bbox 1288 322 1544 352'>DATE: 01/01/1970
-</span><span class='ocrx_word' id='word_1_1_0_0_0' title='bbox 1288 322 1369 350'>DATE</span><span class='ocrx_word' id='word_1_1_0_0_1' title='bbox 1374 322 1382 350'>: </span><span class='ocrx_word' id='word_1_1_0_0_2' title='bbox 1390 322 1544 352'>01/01/1970
-</span><span class='ocr_line' id='line_1_1_0_1' title='bbox 1287 366 1547 395'>INVOICE: NO. 001
-</span><span class='ocrx_word' id='word_1_1_0_1_0' title='bbox 1287 366 1410 395'>INVOICE</span><span class='ocrx_word' id='word_1_1_0_1_1' title='bbox 1417 366 1425 395'>: </span><span class='ocrx_word' id='word_1_1_0_1_2' title='bbox 1427 366 1476 395'>NO</span><span class='ocrx_word' id='word_1_1_0_1_3' title='bbox 1481 366 1489 395'>. </span><span class='ocrx_word' id='word_1_1_0_1_4' title='bbox 1498 366 1547 395'>001
-</span></span></span><span class='ocr_carea' id='block_1_2' title='bbox 219 512 693 586'><span class='ocr_par' id='par_1_2_0' title='bbox 219 512 693 586'><span class='ocr_line' id='line_1_2_0_0' title='bbox 219 512 551 551'>FROM: Company ABC
-</span><span class='ocrx_word' id='word_1_2_0_0_0' title='bbox 219 512 308 549'>FROM</span><span class='ocrx_word' id='word_1_2_0_0_1' title='bbox 314 513 324 548'>: </span><span class='ocrx_word' id='word_1_2_0_0_2' title='bbox 348 513 484 550'>Company </span><span class='ocrx_word' id='word_1_2_0_0_3' title='bbox 492 515 551 551'>ABC
-</span><span class='ocr_line' id='line_1_2_0_1' title='bbox 352 551 693 585'>user@companyabc.com
-</span><span class='ocrx_word' id='word_1_2_0_1_0' title='bbox 352 551 693 585'>user@companyabc.com
-</span></span></span><span class='ocr_carea' id='block_1_3' title='bbox 895 513 1259 585'><span class='ocr_par' id='par_1_3_0' title='bbox 895 513 1259 585'><span class='ocr_line' id='line_1_3_0_0' title='bbox 895 513 1105 542'>TO: John Doe
-</span><span class='ocrx_word' id='word_1_3_0_0_0' title='bbox 895 513 928 542'>TO</span><span class='ocrx_word' id='word_1_3_0_0_1' title='bbox 936 513 944 542'>: </span><span class='ocrx_word' id='word_1_3_0_0_2' title='bbox 975 513 1039 542'>John </span><span class='ocrx_word' id='word_1_3_0_0_3' title='bbox 1048 513 1105 542'>Doe
-</span><span class='ocr_line' id='line_1_3_0_1' title='bbox 968 551 1259 585'>johndoe@email.com
-</span><span class='ocrx_word' id='word_1_3_0_1_0' title='bbox 968 551 1259 585'>johndoe@email.com
-</span></span></span><span class='ocr_carea' id='block_1_4' title='bbox 219 629 620 702'><span class='ocr_par' id='par_1_4_0' title='bbox 219 629 620 702'><span class='ocr_line' id='line_1_4_0_0' title='bbox 219 629 619 660'>ADDRESS: 111 Main Street
-</span><span class='ocrx_word' id='word_1_4_0_0_0' title='bbox 219 629 370 660'>ADDRESS</span><span class='ocrx_word' id='word_1_4_0_0_1' title='bbox 375 629 384 660'>: </span><span class='ocrx_word' id='word_1_4_0_0_2' title='bbox 393 629 442 660'>111 </span><span class='ocrx_word' id='word_1_4_0_0_3' title='bbox 453 629 515 660'>Main </span><span class='ocrx_word' id='word_1_4_0_0_4' title='bbox 535 629 619 660'>Street
-</span><span class='ocr_line' id='line_1_4_0_1' title='bbox 399 667 599 700'>Anytown, USA
-</span><span class='ocrx_word' id='word_1_4_0_1_0' title='bbox 399 667 516 702'>Anytown</span><span class='ocrx_word' id='word_1_4_0_1_1' title='bbox 516 665 527 701'>, </span><span class='ocrx_word' id='word_1_4_0_1_2' title='bbox 532 665 599 700'>USA
-</span></span></span><span class='ocr_carea' id='block_1_5' title='bbox 892 628 1290 702'><span class='ocr_par' id='par_1_5_0' title='bbox 892 628 1290 702'><span class='ocr_line' id='line_1_5_0_0' title='bbox 892 628 1289 659'>ADDRESS: 222 Main Street
-</span><span class='ocrx_word' id='word_1_5_0_0_0' title='bbox 892 628 1043 659'>ADDRESS</span><span class='ocrx_word' id='word_1_5_0_0_1' title='bbox 1045 628 1054 659'>: </span><span class='ocrx_word' id='word_1_5_0_0_2' title='bbox 1063 628 1116 659'>222 </span><span class='ocrx_word' id='word_1_5_0_0_3' title='bbox 1123 628 1188 659'>Main </span><span class='ocrx_word' id='word_1_5_0_0_4' title='bbox 1203 628 1289 659'>Street
-</span><span class='ocr_line' id='line_1_5_0_1' title='bbox 1062 668 1259 701'>Anytown, USA
-</span><span class='ocrx_word' id='word_1_5_0_1_0' title='bbox 1062 668 1180 702'>Anytown</span><span class='ocrx_word' id='word_1_5_0_1_1' title='bbox 1183 667 1194 702'>, </span><span class='ocrx_word' id='word_1_5_0_1_2' title='bbox 1199 666 1259 701'>USA
-</span></span></span><span class='ocr_carea' id='block_1_6' title='bbox 205 850 571 921'><span class='ocr_par' id='par_1_6_0' title='bbox 205 850 571 921'><span class='ocr_line' id='line_1_6_0_0' title='bbox 207 850 571 879'>TERMS: 6 month contract
-</span><span class='ocrx_word' id='word_1_6_0_0_0' title='bbox 207 850 315 879'>TERMS</span><span class='ocrx_word' id='word_1_6_0_0_1' title='bbox 318 850 326 879'>: </span><span class='ocrx_word' id='word_1_6_0_0_2' title='bbox 335 850 343 879'>6 </span><span class='ocrx_word' id='word_1_6_0_0_3' title='bbox 364 850 439 879'>month </span><span class='ocrx_word' id='word_1_6_0_0_4' title='bbox 458 850 571 879'>contract
-</span><span class='ocr_line' id='line_1_6_0_1' title='bbox 205 893 445 921'>DUE: 01/01/2025
-</span><span class='ocrx_word' id='word_1_6_0_1_0' title='bbox 205 893 269 921'>DUE</span><span class='ocrx_word' id='word_1_6_0_1_1' title='bbox 274 893 282 921'>: </span><span class='ocrx_word' id='word_1_6_0_1_2' title='bbox 290 893 445 921'>01/01/2025
-</span></span></span><span class='ocr_carea' id='block_1_7' title='bbox 219 1035 466 1075'><span class='ocr_par' id='par_1_7_0' title='bbox 219 1035 466 1075'><span class='ocr_line' id='line_1_7_0_0' title='bbox 219 1035 466 1075'>Item Description
-</span><span class='ocrx_word' id='word_1_7_0_0_0' title='bbox 219 1035 283 1072'>Item </span><span class='ocrx_word' id='word_1_7_0_0_1' title='bbox 296 1036 466 1075'>Description
-</span></span></span><span class='ocr_carea' id='block_1_8' title='bbox 554 1039 683 1075'><span class='ocr_par' id='par_1_8_0' title='bbox 554 1039 683 1075'><span class='ocr_line' id='line_1_8_0_0' title='bbox 554 1039 683 1075'>Quantity
-</span><span class='ocrx_word' id='word_1_8_0_0_0' title='bbox 554 1039 683 1075'>Quantity
-</span></span></span><span class='ocr_carea' id='block_1_9' title='bbox 894 1040 968 1067'><span class='ocr_par' id='par_1_9_0' title='bbox 894 1040 968 1067'><span class='ocr_line' id='line_1_9_0_0' title='bbox 894 1040 968 1067'>Price
-</span><span class='ocrx_word' id='word_1_9_0_0_0' title='bbox 894 1040 968 1067'>Price
-</span></span></span><span class='ocr_carea' id='block_1_10' title='bbox 1227 1039 1351 1068'><span class='ocr_par' id='par_1_10_0' title='bbox 1227 1039 1351 1068'><span class='ocr_line' id='line_1_10_0_0' title='bbox 1227 1039 1351 1068'>Amount
-</span><span class='ocrx_word' id='word_1_10_0_0_0' title='bbox 1227 1039 1351 1068'>Amount
-</span></span></span><span class='ocr_carea' id='block_1_11' title='bbox 224 1110 302 1138'><span class='ocr_par' id='par_1_11_0' title='bbox 224 1110 302 1138'><span class='ocr_line' id='line_1_11_0_0' title='bbox 224 1110 302 1138'>Tool A
-</span><span class='ocrx_word' id='word_1_11_0_0_0' title='bbox 224 1110 285 1138'>Tool </span><span class='ocrx_word' id='word_1_11_0_0_1' title='bbox 294 1110 302 1138'>A
-</span></span></span><span class='ocr_carea' id='block_1_12' title='bbox 556 1110 608 1138'><span class='ocr_par' id='par_1_12_0' title='bbox 556 1110 608 1138'><span class='ocr_line' id='line_1_12_0_0' title='bbox 556 1110 608 1138'>500
-</span><span class='ocrx_word' id='word_1_12_0_0_0' title='bbox 556 1110 608 1138'>500
-</span></span></span><span class='ocr_carea' id='block_1_13' title='bbox 896 1109 972 1137'><span class='ocr_par' id='par_1_13_0' title='bbox 896 1109 972 1137'><span class='ocr_line' id='line_1_13_0_0' title='bbox 896 1109 972 1137'>$1.00
-</span><span class='ocrx_word' id='word_1_13_0_0_0' title='bbox 896 1109 904 1137'>$</span><span class='ocrx_word' id='word_1_13_0_0_1' title='bbox 917 1109 972 1137'>1.00
-</span></span></span><span class='ocr_carea' id='block_1_14' title='bbox 1230 1108 1343 1141'><span class='ocr_par' id='par_1_14_0' title='bbox 1230 1108 1343 1141'><span class='ocr_line' id='line_1_14_0_0' title='bbox 1230 1108 1343 1141'>$500.00
-</span><span class='ocrx_word' id='word_1_14_0_0_0' title='bbox 1230 1108 1239 1139'>$</span><span class='ocrx_word' id='word_1_14_0_0_1' title='bbox 1246 1108 1343 1141'>500.00
-</span></span></span><span class='ocr_carea' id='block_1_15' title='bbox 223 1180 345 1207'><span class='ocr_par' id='par_1_15_0' title='bbox 223 1180 345 1207'><span class='ocr_line' id='line_1_15_0_0' title='bbox 223 1180 345 1207'>Service B
-</span><span class='ocrx_word' id='word_1_15_0_0_0' title='bbox 223 1180 320 1207'>Service </span><span class='ocrx_word' id='word_1_15_0_0_1' title='bbox 337 1180 345 1207'>B
-</span></span></span><span class='ocr_carea' id='block_1_16' title='bbox 562 1182 570 1209'><span class='ocr_par' id='par_1_16_0' title='bbox 562 1182 570 1209'><span class='ocr_line' id='line_1_16_0_0' title='bbox 562 1182 570 1209'>1
-</span><span class='ocrx_word' id='word_1_16_0_0_0' title='bbox 562 1182 570 1209'>1
-</span></span></span><span class='ocr_carea' id='block_1_17' title='bbox 896 1181 1005 1210'><span class='ocr_par' id='par_1_17_0' title='bbox 896 1181 1005 1210'><span class='ocr_line' id='line_1_17_0_0' title='bbox 896 1181 1005 1210'>$900.00
-</span><span class='ocrx_word' id='word_1_17_0_0_0' title='bbox 896 1181 904 1210'>$</span><span class='ocrx_word' id='word_1_17_0_0_1' title='bbox 910 1181 1005 1210'>900.00
-</span></span></span><span class='ocr_carea' id='block_1_18' title='bbox 1231 1180 1342 1210'><span class='ocr_par' id='par_1_18_0' title='bbox 1231 1180 1342 1210'><span class='ocr_line' id='line_1_18_0_0' title='bbox 1231 1180 1342 1210'>$900.00
-</span><span class='ocrx_word' id='word_1_18_0_0_0' title='bbox 1231 1181 1241 1212'>$</span><span class='ocrx_word' id='word_1_18_0_0_1' title='bbox 1248 1180 1342 1210'>900.00
-</span></span></span><span class='ocr_carea' id='block_1_19' title='bbox 218 1252 380 1280'><span class='ocr_par' id='par_1_19_0' title='bbox 218 1252 380 1280'><span class='ocr_line' id='line_1_19_0_0' title='bbox 218 1252 380 1280'>Resource C
-</span><span class='ocrx_word' id='word_1_19_0_0_0' title='bbox 218 1252 352 1280'>Resource </span><span class='ocrx_word' id='word_1_19_0_0_1' title='bbox 372 1252 380 1280'>C
-</span></span></span><span class='ocr_carea' id='block_1_20' title='bbox 554 1252 591 1280'><span class='ocr_par' id='par_1_20_0' title='bbox 554 1252 591 1280'><span class='ocr_line' id='line_1_20_0_0' title='bbox 554 1252 591 1280'>50
-</span><span class='ocrx_word' id='word_1_20_0_0_0' title='bbox 554 1252 591 1280'>50
-</span></span></span><span class='ocr_carea' id='block_1_21' title='bbox 896 1253 985 1281'><span class='ocr_par' id='par_1_21_0' title='bbox 896 1253 985 1281'><span class='ocr_line' id='line_1_21_0_0' title='bbox 896 1253 985 1281'>$12.00
-</span><span class='ocrx_word' id='word_1_21_0_0_0' title='bbox 896 1254 904 1282'>$</span><span class='ocrx_word' id='word_1_21_0_0_1' title='bbox 913 1253 985 1281'>12.00
-</span></span></span><span class='ocr_carea' id='block_1_22' title='bbox 1232 1251 1339 1283'><span class='ocr_par' id='par_1_22_0' title='bbox 1232 1251 1339 1283'><span class='ocr_line' id='line_1_22_0_0' title='bbox 1232 1251 1339 1283'>$600.00
-</span><span class='ocrx_word' id='word_1_22_0_0_0' title='bbox 1232 1251 1241 1283'>$</span><span class='ocrx_word' id='word_1_22_0_0_1' title='bbox 1244 1251 1339 1283'>600.00
-</span></span></span><span class='ocr_carea' id='block_1_23' title='bbox 893 1394 1022 1423'><span class='ocr_par' id='par_1_23_0' title='bbox 893 1394 1022 1423'><span class='ocr_line' id='line_1_23_0_0' title='bbox 893 1394 1022 1423'>Subtotal
-</span><span class='ocrx_word' id='word_1_23_0_0_0' title='bbox 893 1394 1022 1423'>Subtotal
-</span></span></span><span class='ocr_carea' id='block_1_24' title='bbox 1230 1394 1357 1427'><span class='ocr_par' id='par_1_24_0' title='bbox 1230 1394 1357 1427'><span class='ocr_line' id='line_1_24_0_0' title='bbox 1230 1394 1357 1427'>$2000.00
-</span><span class='ocrx_word' id='word_1_24_0_0_0' title='bbox 1230 1394 1239 1425'>$</span><span class='ocrx_word' id='word_1_24_0_0_1' title='bbox 1246 1394 1357 1427'>2000.00
-</span></span></span><span class='ocr_carea' id='block_1_25' title='bbox 897 1465 946 1494'><span class='ocr_par' id='par_1_25_0' title='bbox 897 1465 946 1494'><span class='ocr_line' id='line_1_25_0_0' title='bbox 897 1465 946 1494'>Tax
-</span><span class='ocrx_word' id='word_1_25_0_0_0' title='bbox 897 1465 946 1494'>Tax
-</span></span></span><span class='ocr_carea' id='block_1_26' title='bbox 1232 1464 1340 1494'><span class='ocr_par' id='par_1_26_0' title='bbox 1232 1464 1340 1494'><span class='ocr_line' id='line_1_26_0_0' title='bbox 1232 1464 1340 1494'>$140.00
-</span><span class='ocrx_word' id='word_1_26_0_0_0' title='bbox 1232 1464 1241 1494'>$</span><span class='ocrx_word' id='word_1_26_0_0_1' title='bbox 1249 1464 1340 1494'>140.00
-</span></span></span><span class='ocr_carea' id='block_1_27' title='bbox 890 1537 1119 1565'><span class='ocr_par' id='par_1_27_0' title='bbox 890 1537 1119 1565'><span class='ocr_line' id='line_1_27_0_0' title='bbox 890 1537 1119 1565'>BALANCE DUE
-</span><span class='ocrx_word' id='word_1_27_0_0_0' title='bbox 890 1537 1044 1565'>BALANCE </span><span class='ocrx_word' id='word_1_27_0_0_1' title='bbox 1056 1537 1119 1565'>DUE
-</span></span></span><span class='ocr_carea' id='block_1_28' title='bbox 1233 1536 1360 1567'><span class='ocr_par' id='par_1_28_0' title='bbox 1233 1536 1360 1567'><span class='ocr_line' id='line_1_28_0_0' title='bbox 1233 1536 1360 1567'>$2140.00
-</span><span class='ocrx_word' id='word_1_28_0_0_0' title='bbox 1233 1536 1241 1565'>$</span><span class='ocrx_word' id='word_1_28_0_0_1' title='bbox 1250 1536 1360 1567'>2140.00
-</span></span></span><span class='ocr_carea' id='block_1_29' title='bbox 202 1679 323 1707'><span class='ocr_par' id='par_1_29_0' title='bbox 202 1679 323 1707'><span class='ocr_line' id='line_1_29_0_0' title='bbox 202 1679 323 1707'>NOTES:
-</span><span class='ocrx_word' id='word_1_29_0_0_0' title='bbox 202 1679 312 1707'>NOTES</span><span class='ocrx_word' id='word_1_29_0_0_1' title='bbox 315 1679 323 1707'>:
-</span></span></span><span class='ocr_carea' id='block_1_30' title='bbox 223 1781 620 1818'><span class='ocr_par' id='par_1_30_0' title='bbox 223 1781 620 1818'><span class='ocr_line' id='line_1_30_0_0' title='bbox 223 1781 620 1818'>Supplies used for Project Q.
-</span><span class='ocrx_word' id='word_1_30_0_0_0' title='bbox 223 1781 341 1818'>Supplies </span><span class='ocrx_word' id='word_1_30_0_0_1' title='bbox 349 1781 414 1818'>used </span><span class='ocrx_word' id='word_1_30_0_0_2' title='bbox 429 1781 466 1818'>for </span><span class='ocrx_word' id='word_1_30_0_0_3' title='bbox 474 1781 577 1818'>Project </span><span class='ocrx_word' id='word_1_30_0_0_4' title='bbox 585 1781 620 1818'>Q.
-</span></span></span></div>
\ No newline at end of file
diff --git a/tests/unit/test_page.py b/tests/unit/test_page.py
index 19f1f818..c376f226 100644
--- a/tests/unit/test_page.py
+++ b/tests/unit/test_page.py
@@ -143,74 +143,33 @@ def test_text_from_element_with_layout(docproto):
     assert text == "Invoice\n"
 
 
-def test_get_blocks(docproto):
-
-    wrapped_page = page.Page(
-        documentai_object=docproto.pages[0], document_text=docproto.text
+def test_get_hocr_bounding_box(docproto):
+    hocr_bounding_box_normalized = page._get_hocr_bounding_box(
+        element_with_layout=docproto.pages[0],
+        page_dimension=docproto.pages[0].dimension,
     )
 
-    docproto_blocks = docproto.pages[0].blocks
-
-    blocks = page._get_blocks(blocks=docproto_blocks, page=wrapped_page)
-
-    assert len(blocks) == 31
-    assert blocks[0].text == "Invoice\n"
-    assert blocks[0].hocr_bounding_box == "bbox 1310 220 1534 282"
-    # checking cached value
-    assert blocks[0].text == "Invoice\n"
-    assert blocks[0].hocr_bounding_box == "bbox 1310 220 1534 282"
-
+    assert hocr_bounding_box_normalized == "bbox 0 0 1758 2275"
 
-def test_get_paragraphs(docproto):
-    wrapped_page = page.Page(
-        documentai_object=docproto.pages[0], document_text=docproto.text
+    hocr_bounding_box_with_vertices = page._get_hocr_bounding_box(
+        element_with_layout=docproto.pages[0].blocks[0],
+        page_dimension=docproto.pages[0].dimension,
     )
-    docproto_paragraphs = docproto.pages[0].paragraphs
-
-    paragraphs = page._get_paragraphs(paragraphs=docproto_paragraphs, page=wrapped_page)
 
-    assert len(paragraphs) == 31
-    assert paragraphs[0].text == "Invoice\n"
-    assert paragraphs[0].hocr_bounding_box == "bbox 1310 220 1534 282"
-    # checking cached value
-    assert paragraphs[0].text == "Invoice\n"
-    assert paragraphs[0].hocr_bounding_box == "bbox 1310 220 1534 282"
-
-
-def test_get_lines(docproto):
-    wrapped_page = page.Page(
-        documentai_object=docproto.pages[0], document_text=docproto.text
-    )
-    docproto_lines = docproto.pages[0].lines
+    assert hocr_bounding_box_with_vertices == "bbox 1310 220 1534 282"
 
-    lines = page._get_lines(lines=docproto_lines, page=wrapped_page)
 
-    assert len(lines) == 37
-    assert lines[36].text == "Supplies used for Project Q.\n"
-    assert lines[36].hocr_bounding_box == "bbox 223 1781 620 1818"
-    # checking cached value
-    assert lines[36].text == "Supplies used for Project Q.\n"
-    assert lines[36].hocr_bounding_box == "bbox 223 1781 620 1818"
+# Class init Tests
 
 
-def test_get_tokens(docproto):
-    wrapped_page = page.Page(
-        documentai_object=docproto.pages[0], document_text=docproto.text
+def test_Table(docproto):
+    docproto_page = docproto.pages[0]
+    table = page.Table(
+        documentai_object=docproto_page.tables[0], document_text=docproto.text
     )
-    wrapped_page.tokens = []
-    docproto_tokens = docproto.pages[0].tokens
 
-    tokens = page._get_tokens(tokens=docproto_tokens, page=wrapped_page)
-
-    assert len(tokens) == 86
-    assert tokens[85].text == "Q.\n"
-    assert tokens[85].hocr_bounding_box == "bbox 585 1781 620 1818"
-    # checking cached value
-    assert tokens[85].text == "Q.\n"
-    assert tokens[85].hocr_bounding_box == "bbox 585 1781 620 1818"
-
-
-# Class init Tests
+    assert len(table.body_rows) == 6
+    assert len(table.header_rows[0]) == 4
 
 
 def test_FormField(docproto_form_parser):
@@ -232,6 +191,10 @@ def test_Block(docproto):
     block = page.Block(documentai_object=docai_block, _page=wrapped_page)
 
     assert block.text == "Invoice\n"
+    assert block.hocr_bounding_box == "bbox 1310 220 1534 282"
+    # checking cached value
+    assert block.text == "Invoice\n"
+    assert block.hocr_bounding_box == "bbox 1310 220 1534 282"
 
 
 def test_Paragraph(docproto):
@@ -242,6 +205,10 @@ def test_Paragraph(docproto):
     paragraph = page.Paragraph(documentai_object=docai_paragraph, _page=wrapped_page)
 
     assert paragraph.text == "Invoice\n"
+    assert paragraph.hocr_bounding_box == "bbox 1310 220 1534 282"
+    # checking cached value
+    assert paragraph.text == "Invoice\n"
+    assert paragraph.hocr_bounding_box == "bbox 1310 220 1534 282"
 
 
 def test_Line(docproto):
@@ -249,69 +216,27 @@ def test_Line(docproto):
         documentai_object=docproto.pages[0], document_text=docproto.text
     )
     docai_line = docproto.pages[0].lines[36]
-    line = page.Paragraph(documentai_object=docai_line, _page=wrapped_page)
+    line = page.Line(documentai_object=docai_line, _page=wrapped_page)
 
     assert line.text == "Supplies used for Project Q.\n"
+    assert line.hocr_bounding_box == "bbox 223 1781 620 1818"
+    # checking cached value
+    assert line.text == "Supplies used for Project Q.\n"
+    assert line.hocr_bounding_box == "bbox 223 1781 620 1818"
 
 
-def test_Table(docproto):
-    docproto_page = docproto.pages[0]
-    table = page.Table(
-        documentai_object=docproto_page.tables[0], document_text=docproto.text
-    )
-
-    assert len(table.body_rows) == 6
-    assert len(table.header_rows[0]) == 4
-
-
-def test_to_hocr(docproto):
+def test_Token(docproto):
     wrapped_page = page.Page(
         documentai_object=docproto.pages[0], document_text=docproto.text
     )
-    hocr_str = wrapped_page.to_hocr()
-
-    with open("tests/unit/resources/toolbox_invoice_test_page_hocr.xml", "r") as f:
-        expected = f.read()
+    docai_token = docproto.pages[0].tokens[85]
+    token = page.Token(documentai_object=docai_token, _page=wrapped_page)
 
-    assert hocr_str == expected
-
-
-def test_get_hocr_bounding_box(docproto):
-    hocr_bounding_box_normalized = page._get_hocr_bounding_box(
-        element_with_layout=docproto.pages[0], dimension=docproto.pages[0].dimension
-    )
-
-    assert hocr_bounding_box_normalized == "bbox 0 0 1758 2275"
-
-    hocr_bounding_box_with_vertices = page._get_hocr_bounding_box(
-        element_with_layout=docproto.pages[0].blocks[0],
-        dimension=docproto.pages[0].dimension,
-    )
-
-    assert hocr_bounding_box_with_vertices == "bbox 1310 220 1534 282"
-
-
-def test_get_xy(docproto):
-    max_x, max_y = page._get_xy(
-        docproto.pages[0], docproto.pages[0].dimension, False, False
-    )
-    min_x, min_y = page._get_xy(
-        docproto.pages[0], docproto.pages[0].dimension, False, True
-    )
-    normalized_max_x, normalized_max_y = page._get_xy(
-        docproto.pages[0], docproto.pages[0].dimension, True, False
-    )
-    normalized_min_x, normalized_min_y = page._get_xy(
-        docproto.pages[0], docproto.pages[0].dimension, True, True
-    )
-
-    assert max_x == 1758 and max_y == 2275
-
-    assert min_x == 0 and min_y == 0
-
-    assert normalized_min_x == 0.0 and normalized_min_y == 0.0
-
-    assert normalized_max_x == 3090564.0 and normalized_max_y == 5175625.0
+    assert token.text == "Q.\n"
+    assert token.hocr_bounding_box == "bbox 585 1781 620 1818"
+    # checking cached value
+    assert token.text == "Q.\n"
+    assert token.hocr_bounding_box == "bbox 585 1781 620 1818"
 
 
 def test_Page(docproto):

From 1b2223fd7c617bab544c71cda0b1ddd7433f4246 Mon Sep 17 00:00:00 2001
From: "release-please[bot]"
 <55107282+release-please[bot]@users.noreply.github.com>
Date: Fri, 7 Jul 2023 10:51:55 -0700
Subject: [PATCH 13/13] chore(main): release 0.9.0-alpha (#136)

Co-authored-by: release-please[bot] <55107282+release-please[bot]@users.noreply.github.com>
---
 CHANGELOG.md                               | 7 +++++++
 google/cloud/documentai_toolbox/version.py | 2 +-
 2 files changed, 8 insertions(+), 1 deletion(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 1c0d01b0..cd59f320 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,12 @@
 # Changelog
 
+## [0.9.0-alpha](https://github.com/googleapis/python-documentai-toolbox/compare/v0.8.0-alpha...v0.9.0-alpha) (2023-07-07)
+
+
+### Features
+
+* Added hOCR export functionality ([#123](https://github.com/googleapis/python-documentai-toolbox/issues/123)) ([87d2fc1](https://github.com/googleapis/python-documentai-toolbox/commit/87d2fc160db3d9d5c3306f7e607f148462747aec))
+
 ## [0.8.0-alpha](https://github.com/googleapis/python-documentai-toolbox/compare/v0.7.0-alpha...v0.8.0-alpha) (2023-06-07)
 
 
diff --git a/google/cloud/documentai_toolbox/version.py b/google/cloud/documentai_toolbox/version.py
index 9b6c7adf..51738e91 100644
--- a/google/cloud/documentai_toolbox/version.py
+++ b/google/cloud/documentai_toolbox/version.py
@@ -13,4 +13,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-__version__ = "0.8.0-alpha"
+__version__ = "0.9.0-alpha"