OCR_APP is a simple Flask-based web application that converts unsearchable PDF files into searchable PDF files using OCR (Optical Character Recognition) technology. The app leverages the ocrmypdf library to perform the OCR processing.

• Upload a PDF file through a web interface
• Convert unsearchable PDF files to searchable PDF files
• Download the processed, searchable PDF file

1. Clone the repository:

   git clone https://github.com/Sahilkumar19/OCR_APP.git
   cd OCR_APP

2. Create and activate a virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install the required dependencies:

   pip install -r requirements.txt

   Note: Ensure you have ocrmypdf and its dependencies installed. You can install ocrmypdf using pip:

   pip install ocrmypdf

4. Run the Flask application:

   python app.py

5. Open your web browser and go to http://127.0.0.1:5000/.

1. Navigate to the application in your web browser.
2. Upload a PDF file by clicking the "Choose File" button and selecting the file from your computer.
3. Click the "Upload and Process" button to start the OCR process.
4. Once the OCR processing is complete, a link will be provided to download the processed, searchable PDF file.

OCR_APP/ ├── app.py ├── templates/ │ └── index.html ├── static/ │ └── processed_pdfs/ ├── requirements.txt └── README.md

• app.py: The main Flask application file that contains routes and the OCR processing logic.
• templates/: Directory containing HTML templates for the web interface.
• static/processed_pdfs/: Directory where processed PDFs are saved.
• requirements.txt: File containing the list of Python dependencies.

This file contains the main Flask application code. Key components include:

• Configuration: Sets the upload folder for storing processed PDFs.
• OCR Function: Utilizes ocrmypdf to convert unsearchable PDFs to searchable PDFs.
• Routes:
  • /: Handles file uploads and triggers the OCR processing.
  • /uploads/<filename>: Serves the processed, searchable PDF file for download.

The HTML template provides a simple interface for users to upload PDF files. Key elements include:

• File upload form with POST method and multipart/form-data encoding type.
• Conditional message displaying a download link for the processed file after successful upload and processing.

• Flask
• ocrmypdf

Contributions are welcome! If you find any issues or have suggestions for improvements, please create a pull request or open an issue in the repository.

This project is licensed under the MIT License. See the LICENSE file for more details.

• The ocrmypdf library for providing the OCR functionality.
• Flask, for making web development simple and intuitive.