Pirimid/financial-documents-ocr-deep-learning ? reverse-engineered prompt

Build me a simple Python project that shows how to extract information from financial documents like PDFs, scanned receipts, driving licences, and marksheets.

I want it to include a few working examples that compare different ways to read documents, like plain text PDF extraction, OCR for image based PDFs, template based invoice parsing, and general text extraction. Please make it easy to run with sample files, and show the extracted output in a clear format like text or CSV so I can see what each method returns.

Use the sample data already in the repo if it helps, and make the code easy to change so I can point it at my own PDF or image files later. If anything needs current setup details or package instructions, look up the latest docs online and make it work cleanly. Also add short notes in the project so someone new can understand when to use each method and what kind of document it works best for.