Audio-Separator Demo
Mixes the vocals with instrumental
Separate and transcribe duet audio into individual voices
Separate audio into vocals and instrumental tracks
karatutu21
Convert and separate audio with models
Convert audio using RVC models and separate vocals
Process audio files to separate stems
Separate audio into stems using various models
a demo of python audio separator
Extract vocals and instrumentals from audio
Separate different speakers in an audio conversation
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.