Audio-Separator Demo
Separate audio into harmonic and percussive components
pyharp-wrapped demucs stem separator model running on GPU
Convert audio using RVC models and separate vocals
a demo of python audio separator
Convert, separate, and generate audio with Ilaria RVC
Separate audio into vocals, bass, drums, and other
Separate specific instruments from an MP3 file
Extract vocals from an audio file
CISM
Convert audio using RVC models and separate vocals
A music separation model
Split audio into parts
Audio Separator is a powerful tool designed to separate vocals from a music track or divide audio into distinct stems such as vocals, instruments, and drums. It leverages advanced AI models to isolate specific parts of an audio file, making it ideal for music producers, remixers, and audio engineers.
• Vocal Separation: Easily isolate vocals from instrumental tracks for sampling or remixing.
• Multi-Stem Separation: Extract individual components like vocals, drums, bass, piano, and other instruments.
• Customizable Models: Use predefined or custom AI models for specific separation tasks.
• High-Quality Output: Achieve clean and precise separations with minimal artifacts.
• File Format Support: Works with popular audio formats such as WAV, MP3, and FLAC.
• User-Friendly Interface: Simple and intuitive design for seamless navigation.
What formats does Audio Separator support?
Audio Separator supports common formats like WAV, MP3, and FLAC, ensuring compatibility with most music files.
Can I use custom models for audio separation?
Yes, Audio Separator allows you to upload and use custom-trained models for specific separation tasks.
How long does the separation process take?
Processing time depends on the length of the audio file and the complexity of the separation task. Typically, it takes a few seconds to a minute for standard tracks.