OCR and Document Search Web Application

This project is a web-based application that allows users to upload images or documents, extract text from them using Optical Character Recognition (OCR), and perform searches across the extracted text. Built with Gradio for a user-friendly interface and leveraging Pytesseract for OCR functionality, this app is ideal for managing and searching text from scanned documents, images, and PDFs.

Features

• OCR Processing: Extract text from images or documents in multiple languages using Tesseract.
• Document Search: Perform a keyword search across the extracted text to find relevant information quickly.
• Gradio Interface: User-friendly web interface for uploading documents and displaying results.
• Multiple Language Support: The application can handle multiple languages, including English and Hindi.

Tech Stack

• Gradio: For building the web-based interface.
• Pytesseract: To perform OCR on uploaded images and documents.
• Python: Backend processing.
• Tesseract-OCR: The underlying OCR engine used for text extraction.

Requirements

Before running the application, ensure you have the following installed:

• Python 3.x

• Tesseract-OCR

  • For Linux:

    sudo apt-get install tesseract-ocr

  • For Windows, download from here.

• Required Python packages:

  pip install -r requirements.txt

  Your requirements.txt should include:

  • gradio
  • pytesseract
  • pillow (for image handling)
  • numpy

Installation

1. Clone the Repository:

   git clone https://github.com/ajaynair710/OCR-and-Document-Search-Web-Application.git
   cd OCR-and-Document-Search-Web-Application

2. Install Dependencies:

   pip install -r requirements.txt

3. Install Tesseract:

   • For Linux:

     sudo apt-get install tesseract-ocr

   • For Windows: Download and install Tesseract.

   Make sure Tesseract is added to your system's PATH.

4. Run the Application:

   python app.py

   The app will run on a local server, and you can access it by navigating to the local URL provided in the console, typically http://0.0.0.0:7860.

Usage

1. Upload a Document or Image:

   • Open the app in your browser, and upload an image or document that contains text you want to extract.

2. Text Extraction:

   • Once the document is uploaded, the app will process it using the Tesseract OCR engine and display the extracted text on the screen.

3. Search:

   • Use the search bar to find specific keywords within the extracted text.

Troubleshooting

• TesseractNotFoundError: If you encounter the TesseractNotFoundError, ensure Tesseract is installed correctly and added to your system's PATH.

  For Linux:

  sudo apt-get install tesseract-ocr

  For Windows: Add Tesseract's installation directory (e.g., C:\Program Files\Tesseract-OCR\) to your system's PATH.

• OCR Accuracy: OCR accuracy depends on the quality of the uploaded images. Higher resolution images tend to yield better results.

Future Enhancements

• PDF Support: Add the ability to process and extract text from multi-page PDF documents.
• Text Export: Allow users to download the extracted text as a .txt or .docx file.
• Advanced Search: Implement advanced search filters such as case sensitivity, regex matching, and proximity searches.

Contributing

Contributions are welcome! To contribute:

1. Fork the repository.
2. Create a feature branch (git checkout -b feature-branch).
3. Commit your changes (git commit -m 'Add new feature').
4. Push to the branch (git push origin feature-branch).
5. Open a pull request.