Separate music and vocals from audio
Find choruses in music from YouTube or uploaded MP3 files
spleeter for test
Extract vocals from an audio file
Generate split audio tracks from a file
Separate audio channels from a mixed audio file
Process audio files to separate stems
Separate audio tracks into individual speech sources
Convert and separate audio with models
Separe vocal and instrumental tracks from audio
Separate audio into vocals and instrumental tracks
a demo of python audio separator
whisperx-test
Audio Separator is a tool designed to separate vocals from instrumental tracks in audio files. It uses advanced AI algorithms to isolate voice and music elements, allowing users to extract clean vocals or instrumental versions from their audio files. This makes it ideal for remixing, karaoke, or professional audio editing.
• Vocal and Instrumental Separation: Accurately isolates vocals and instrumental tracks from audio files.
• AI-Powered Processing: Leverages advanced AI models to ensure high-quality separation.
• Multi-Format Support: Works with popular audio formats such as MP3, WAV, and FLAC.
• Real-Time Preview: Allows users to preview the separated tracks before exporting.
• High-Quality Output: Ensures clear and distortion-free separated audio.
• Batch Processing: Enable processing of multiple files at once for efficiency.
• User-Friendly Interface: Simple and intuitive design for easy navigation.
What file formats does Audio Separator support?
Audio Separator supports common formats like MP3, WAV, and FLAC, ensuring compatibility with most audio workflows.
How long does the separation process take?
Processing time depends on the file size and complexity, but typically takes only a few seconds for standard audio files.
Are my audio files stored securely?
Yes, all uploaded files are processed securely and deleted after the separation process to ensure privacy.