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README.md
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---
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license: mit
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tags:
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- audio
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- music
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- stem-separation
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- demucs
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- desktop-app
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- audio-processing
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- ai
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- machine-learning
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language:
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- en
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- it
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library_name: stemify
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---
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# π΅ Stemify Desktop - The Audio Splitter
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## π Description
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Stemify Desktop is a professional desktop application for AI-powered audio stem separation. Built with Facebook Research's Demucs model, it allows users to separate audio tracks into individual components (vocals, drums, bass, other) with high accuracy.
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## β¨ Features
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- **π₯οΈ Desktop Application** - Native app for Windows, macOS, and Linux
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- **π€ AI-Powered Separation** - Uses state-of-the-art Demucs AI model
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- **β‘ Real-time Processing** - Fast audio separation with progress tracking
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- **π΅ Multiple Formats** - Support for MP3 files up to 20MB
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- **π¨ Professional UI** - Modern interface with custom branding
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- **π± Offline Capability** - Works without internet connection
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- **π Drag & Drop** - Intuitive file upload interface
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## π Downloads
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### Windows (ARM64)
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- [Stemify Setup 1.0.0.exe](https://huggingface.co/huchukato/stemify-desktop/blob/main/Stemify%20Setup%201.0.0.exe) (93.1 MB)
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### macOS (Apple Silicon)
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- [Stemify-1.0.0-arm64.dmg](https://huggingface.co/huchukato/stemify-desktop/blob/main/Stemify-1.0.0-arm64.dmg) (114 MB)
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### Linux (ARM64)
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- [Stemify-1.0.0-arm64.AppImage](https://huggingface.co/huchukato/stemify-desktop/blob/main/Stemify-1.0.0-arm64.AppImage) (121 MB)
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## π― How to Use
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1. **Download** the appropriate file for your operating system
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2. **Install** the application following your OS instructions
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3. **Launch** Stemify Desktop
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4. **Upload** your audio file (drag & drop or click)
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5. **Wait** for AI processing
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6. **Download** your separated tracks
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## π οΈ Technical Details
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### Architecture
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- **Frontend**: React + TypeScript + Vite
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- **Backend**: Flask + Python
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- **Desktop**: Electron wrapper
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- **AI Model**: Facebook Research Demucs
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- **Audio Processing**: Real-time stem separation
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### Supported Formats
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- **Input**: MP3 files up to 20MB
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- **Output**: 4 stems (Vocals, Drums, Bass, Other)
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- **Quality**: High-fidelity separation
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### System Requirements
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- **Windows**: Windows 10+ (ARM64)
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- **macOS**: macOS 10.12+ (Apple Silicon)
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- **Linux**: Modern Linux distribution (ARM64)
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- **Memory**: 4GB RAM minimum
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- **Storage**: 500MB free space
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## π§ Model Information
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Stemify uses the **Demucs v4** model from Facebook Research, specifically trained for high-quality music source separation. The model has been trained on large datasets and can separate:
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- **π€ Vocals** - Lead and backing vocals
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- **π₯ Drums** - Complete drum kit
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- **πΈ Bass** - Bass guitar and low-frequency elements
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- **πΉ Other** - Remaining instruments (guitar, piano, synths, etc.)
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## π Performance
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- **Processing Time**: 2-5 minutes for typical 3-5 minute tracks
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- **Quality**: Professional-grade separation
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- **Memory Usage**: ~2GB during processing
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- **CPU Usage**: Optimized for ARM64 processors
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## π§ Build from Source
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```bash
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git clone https://github.com/huchukato/stemify-audio-splitter.git
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cd stemify-audio-splitter/demucs-gui
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npm install
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npm run electron-build -- --mac --win --linux
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```
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## π€ Contributing
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Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.
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## π License
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This project is licensed under the MIT License - see the [LICENSE](https://github.com/huchukato/stemify-audio-splitter/blob/main/LICENSE) file for details.
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## π Acknowledgments
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- **Facebook Research** for the Demucs model
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- **Electron Team** for the desktop framework
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- **React Community** for the frontend library
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- **Python Audio Community** for audio processing tools
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## π Support
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- **GitHub Issues**: [Report bugs](https://github.com/huchukato/stemify-audio-splitter/issues)
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- **Discussions**: [Community forum](https://github.com/huchukato/stemify-audio-splitter/discussions)
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- **Email**: Contact through GitHub profile
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---
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**Made with β€οΈ by [huchukato](https://github.com/huchukato)**
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*Transform your music with AI-powered stem separation!*
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