A service for extracting and processing text from PDF documents.
- Python 3.12
uvpackage managermakeutility
-
Create and activate a virtual environment:
uv venv --python 3.12 source .venv/bin/activate -
Install dependencies:
uv pip install -r requirements.txt
To start the web application:
make run-web-appOnce the service is running, you can access the API documentation at:
- Swagger UI:
http://localhost:8000/docs - ReDoc:
http://localhost:8000/redoc
You can use this prompt to perform such an extraction
I’m uploading a PDF file. Please extract all readable content from each page — including OCR from image-based or scanned pages — and output it as a JSON array.
Each item in the array should have the following structure:
{
"page": <page_number>,
"content": "<full text content from that page>",
"URL": "<base_pdf_url>#page=<page_number>"
}
Use this base PDF URL: https://www.deltadentalar.com/docs/default-source/providers/2025-dentist-handbook.pdf
Make sure no visible content is skipped. Extract text from images using OCR if necessary. Remove repeated headers/footers (like “Dentist Handbook January 2025” or “Page | X”) unless they're part of meaningful content. Return the full JSON or a downloadable file if large.
This service uses OAuth 2.0 with Client Credentials flow for authentication. Make sure to configure your client credentials before making authenticated requests.
