Text Extractor

A powerful tool for extracting text from various file formats including images, PDFs, Word documents, and Excel spreadsheets. Available as both an Electron desktop application and a Python web application.

Features

Common Features

• Extract text from multiple file formats (PNG, JPG, PDF, DOCX, XLSX, etc.)
• Copy extracted text to clipboard
• Cross-platform support

Electron App Features

• Native desktop experience
• System tray integration
• File association support

Web Interface Features

• Accessible from any device on your network
• No installation required (just a web browser)
• Responsive design for mobile and desktop

Prerequisites

System Requirements

• Python 3.8 or higher
• pip (Python package manager)
• Tesseract OCR (required for image text extraction)

Installing Tesseract OCR

Windows:

1. Download the installer from UB Mannheim
2. Run the installer
3. Add Tesseract to your system PATH or update the path in the script

macOS:

brew install tesseract

Linux (Ubuntu/Debian):

sudo apt-get install tesseract-ocr

Installation

1. Clone the repository

   git clone https://github.com/sajidsdk19/Extracting-Text-From-Image-Document-Sheet.git
   cd Extracting-Text-From-Image-Document-Sheet

2. Create and activate a virtual environment (recommended)

   # On Windows
   python -m venv venv
   .\venv\Scripts\activate
   
   # On macOS/Linux
   python3 -m venv venv
   source venv/bin/activate

3. Install the required Python packages

   pip install -r requirements.txt

Usage

Command Line Interface

# Basic usage
python text_extractor.py path/to/your/file

# Save output to a file
python text_extractor.py input.pdf -o output.txt

# Copy text to clipboard
python text_extractor.py input.png --clipboard

# Show help
python text_extractor.py --help

Supported File Formats

• Images: .png, .jpg, .jpeg (using OCR)
• Documents: .pdf, .docx
• Spreadsheets: .xlsx

Python Module

You can also use the text extractor as a Python module:

from text_extractor import extract_text_from_file

text = extract_text_from_file('document.pdf')
print(text)

Installation Methods

Option 1: Python Web Interface

1. Install Python Dependencies:

   python -m pip install -r requirements.txt

2. Start the Web Server:

   python app.py

3. Access the Web Interface: Open your browser and go to http://127.0.0.1:5000

Option 2: Electron Desktop App

1. Navigate to the Electron app directory:

   cd electron-app

2. Install Node.js Dependencies:

   npm install

3. Start the Electron App:

   npm start

Usage

Web Interface

1. Upload a file by drag-and-drop or file browser
2. Click Extract Text to process
3. Use the Copy button to copy extracted text

Electron App

1. Click Choose File to select a document
2. Click Extract to process the file
3. Copy the extracted text using the Copy button

Project Structure

Extracting-Text-From-Image-Document-Sheet/
├── electron-app/         # Electron GUI application
├── templates/            # Web interface templates
├── app.py               # Flask web server
├── create_test_image.py  # Utility to create test images
├── requirements.txt      # Python dependencies
├── text_extractor.py     # Main text extraction module
└── README.md            # This file

Troubleshooting

1. Tesseract not found

   • Ensure Tesseract is installed and added to your system PATH
   • Or update the path in text_extractor.py

2. Missing Dependencies

   pip install -r requirements.txt

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.