JulioRBM/Notafolder-Stems

Demucs Music Source Separation

An AI-powered web application for separating music into individual stems (vocals, drums, bass, other) using Meta's Demucs model.

Features

• —🎵 High-Quality Separation: Uses the latest Demucs htdemucs model for superior audio separation
• —🎨 Beautiful UI: Modern React interface with real-time progress tracking
• —📱 Responsive Design: Works on desktop and mobile devices
• —⚡ Fast Processing: Optimized for quick audio processing
• —💾 Easy Download: Download individual stems as WAV files

Supported Audio Formats

• —MP3
• —WAV
• —FLAC
• —OGG
• —M4A
• —AAC

How to Use

1. 1.Upload your audio file using the drag-and-drop interface
2. 2.Wait for the AI to process and separate the audio (progress bar shows status)
3. 3.Listen to individual stems using the built-in audio players
4. 4.Download the separated tracks you want to keep

Technology Stack

• —Frontend: React + Vite
• —Backend: Flask + Python
• —AI Model: Meta's Demucs (Hybrid Transformer)
• —Audio Processing: PyTorch + TorchAudio
• —Deployment: Docker + Hugging Face Spaces

Local Development

# Install dependencies
npm install
pip install -r requirements.txt

# Start development servers
npm run dev          # Frontend (port 3001)
python server.py     # Backend (port 5000)

Credits

• —Demucs by Meta Research
• —Built with ❤️ for the music community

License

MIT License - feel free to use and modify!