easy audio espration with demucs!
Extract vocals from an audio file
pyharp-wrapped demucs stem separator model running on GPU
Separate music and vocals from audio
CISM
Mixes the vocals with instrumental
Convert and separate audio using vocal models
Separate and shift vocals and instrumental audio from a YouTube video
Audio-Separator Demo
VoiceReplacer
Separate audio into vocals, bass, drums, and other
Separate audio into vocals and accompaniment, transcribe vocals
Convert and separate audio with models
Demucs is an AI-powered tool designed to separate audio tracks into individual stems, such as vocals, instruments, and other components. It provides easy audio separation with high-quality results, making it a valuable tool for music producers, audio engineers, and enthusiasts.
• Vocal and Instrument Separation: Easily isolate vocals, drums, bass, piano, and other instruments from a music track.
• State-of-the-Art AI Technology: Leverages advanced machine learning models for precise audio separation.
• Offline Processing: No internet connection required once the model is downloaded.
• User-Friendly Interface: Simple and intuitive design for seamless operation.
• Multiple Formats Supported: Works with popular audio formats like WAV, MP3, and more.
• GPU Acceleration: Fast processing speeds when using a compatible GPU.
• Open Source: Customizable and transparent for developers.
• Is Demucs free to use?
Yes, Demucs is open-source and free for personal use. However, some advanced features may require a subscription.
• Can Demucs separate more than just vocals and instruments?
Yes, Demucs supports up to 4 stem outputs (vocals, drums, bass, piano, and other instruments) depending on the model used.
• What are the minimum system requirements for running Demucs?
Demucs works on most modern computers but requires at least 4GB of RAM and Python 3.8 or higher for optimal performance. A GPU is recommended for faster processing.