Separate audio using text descriptions
Separate audio into vocals and accompaniment, transcribe vocals
Extract vocals from an audio file
Convert audio using RVC models and separate vocals
pyharp-wrapped demucs stem separator model running on GPU
A music separation model
Process audio files to separate stems
Audio-Separator Demo
Separate vocals from audio/video files
Using Docker for the first time for the first instance
VoiceReplacer
Separe vocal and instrumental tracks from audio
Separate different speakers in an audio conversation
AudioSep is an innovative AI-powered tool designed to separate vocals from music tracks with ease. It allows users to isolate vocals or instrumental tracks from audio files, enabling creative reuse in remixes, karaoke, or professional audio projects. No prior audio editing experience is required, making it accessible to everyone.
• Vocal Isolation: Separate high-quality vocals from instrumental backing tracks.
• Text-Based Separation: Use descriptive text prompts to guide the separation process.
• Support for Multiple Formats: Work with various audio formats, including MP3, WAV, and more.
• User-Friendly Interface: Intuitive design for effortless vocal separation.
• Online Accessibility: Process audio files directly in your web browser without installing software.
What audio formats does AudioSep support?
AudioSep supports common formats like MP3, WAV, FLAC, and more.
How do I ensure the best results for vocal separation?
Provide clear and specific text prompts to guide the AI, such as "extract lead vocals" or "remove background instruments."
Is AudioSep available for free?
AudioSep offers a free tier with basic features. For advanced options, consider upgrading to a paid plan.