A modern, fast, and user-friendly desktop application for converting RAW images to standard formats
Features • Installation • Usage • Performance • Contributing
- Multithreaded Processing - Utilizes all CPU cores for maximum speed
- Parallel Conversion - Convert multiple images simultaneously
- Memory Optimized - Efficient RAW file handling with automatic cleanup
- Dark Theme - Easy on the eyes with CustomTkinter
- Responsive Design - Scales beautifully on any screen size
- Real-time Progress - Live status updates and conversion tracking
- Conversion Statistics - Processing time and success rates
- Error Handling - Detailed reports for failed conversions
- Cancellation Support - Stop processing at any time
| Input Formats | Output Formats |
|---|---|
| RAW (.raw) | JPG (.jpg) |
| ARW (.arw) | PNG (.png) |
💡 Note: Easy to extend for additional RAW formats (CR2, NEF, DNG, etc.)
- Python 3.8+ installed on your system
- pip package manager
# Clone the repository
git clone https://github.com/yourusername/raw-converter.git
cd raw-converter
# Create virtual environment (recommended)
python -m venv venv
# Activate virtual environment
# Windows:
venv\Scripts\activate
# macOS/Linux:
source venv/bin/activate
# Install dependencies
pip install -r requirements.txtcustomtkinter>=5.2.0
rawpy>=0.25.0
pillow>=11.0.0
numpy>=2.0.0| CPU Cores | Images | Time (Single-thread) | Time (Multi-thread) | Speedup |
|---|---|---|---|---|
| 4 cores | 50 RAW | ~250 seconds | ~65 seconds | 3.8x |
| 8 cores | 50 RAW | ~250 seconds | ~35 seconds | 7.1x |
| 16 cores | 50 RAW | ~250 seconds | ~20 seconds | 12.5x |
Edit the configuration in main.py:
SUPPORTED_EXTENSIONS = ["RAW", "ARW"]MAX_WORKERS = os.cpu_count() # Use all cores
# or
MAX_WORKERS = 4 # Limit to 4 threadsWe welcome contributions! Here's how you can help:
- Use GitHub Issues
- Provide detailed reproduction steps
- Include system information
- Check existing issues first
- Describe the use case
- Explain expected behavior
This project is licensed under the MIT License - see the LICENSE file for details.
- rawpy - Excellent RAW file processing
- CustomTkinter - Modern UI framework
- Pillow - Image processing capabilities