README.md

OCR-PDF Project

Overview

This project extracts text from PDF files using Tesseract Optical Character Recognition (OCR). It downloads a PDF from a given URL, converts each page into an image, and then extracts the text using Tesseract OCR then generates a summary. The project is deployed on Replicate.

Usage

You can use this model directly on Replicate:

Try it on Replicate

Local Setup (Optional)

If you want to run the project locally:

1. Install Dependencies:

   pip install requests pdf2image pytesseract transformers cog

2. Run the Predictor:

   from predict import Predictor
    import json
   
    # Instantiate the Predictor class
    predictor = Predictor()
   
    # Replace with the actual URL of your PDF
    json_output = predictor.predict(url="https://example.com/your-pdf.pdf")
   
    # Output the full JSON result
    print(json_output)
   
    # Optionally, parse the JSON to access specific fields
    result = json.loads(json_output)
    print("Summary:", result["summary"])

   This will download the PDF, convert it to images, extract the text, generate a summary, and return the results in JSON format.

License

This project is licensed under the MIT License