This starter code calls Sensible extraction APIs and returns structured data from a PDF. You'll need an API key.

Run

To run the code:

• Clone this repo.
• Open a command promt at this cloned directory:
  • To install dependencies, run python -m pip install requests.
• Open extract_docs.py in a text editor and specify:
  • your API key. Be sure to secure this key before committing.
  • the local path to your PDF.
  • the name of the doc type that you created in the Sensible app.
• Run python extract_doc.py.

Run with examples

To see example data in a response quickly, run extract_doc.py with an example PDF and config:

• Clone this directory, install dependencies, and add your API key (see previous steps).
• Download an example auto insurance quote PDF.
• In the Sensible app:
  • Create a doc type, for example, test_auto_insurance_quote.
  • Create a config in the doc type, for example anyco.
  • Paste the example JSON into the left pane of the config editor.
  • Publish the config: Publish configuration > Production.
• Open extract_doc.py in a text editor and specify:
  • the path to the example PDF you downloaded.
  • the name of the doc type you created.
• Run python extract_doc.py.