Separate music and vocals from audio
Using Docker for the first time for the first instance
Convert and separate audio with models
Convert audio using voice models and separate vocals
Separate audio into vocals, bass, drums, and other
Separate audio channels from a mixed audio file
Find choruses in music from YouTube or uploaded MP3 files
pyharp-wrapped demucs stem separator model running on GPU
Convert vocals to match your preferred singer
music-transform
Convert and separate audio using vocal models
Extract voice from audio file
Extract vocals from an audio file
Audio Separator is a powerful tool designed to separate vocals from music tracks. It leverages advanced AI technology to isolate vocal and instrumental elements from audio files, enabling users to extract high-quality vocals or instrumental tracks for various purposes, such as remixing, karaoke, or music production.
• Vocal Isolation: Accurately separates vocal tracks from instrumental backgrounds.
• Instrumental Extraction: Extracts music tracks without vocals, ideal for karaoke or sampling.
• High-Quality Output: Delivers clear and clean audio outputs for both vocals and instrumentals.
• User-Friendly Interface: Simplified process for uploading and processing audio files.
• Multiple Formats Support: Works with popular audio formats like MP3, WAV, and more.
What file formats does Audio Separator support?
Audio Separator supports a wide range of formats, including MP3, WAV, AAC, and FLAC.
How long does the separation process take?
Processing time depends on the length and complexity of the audio file. Most separations are completed within seconds to a few minutes.
Is Audio Separator free to use?
Audio Separator offers a free version with basic features. For advanced features and unlimited use, consider upgrading to the paid version.