Split, convert, and isolate audio easily
CISM
Extract vocals from an audio file
Using Docker for the first time for the first instance
Extract vocals and instrumentals from audio
Find choruses in music from YouTube or uploaded MP3 files
Separate vocals and instruments from audio files
Separate and transcribe duet audio into individual voices
whisperx-test
pyharp-wrapped demucs stem separator model running on GPU
Duplicate audio separation space
Extract voice from audio file
Separate audio stems and convert to MIDI
Cafeteria is a cutting-edge tool designed to separate vocals from music tracks, allowing users to isolate vocals or instrumentals with precision. It is built to make audio processing straightforward and accessible for both professionals and hobbyists.
• Vocal Isolation: Easily separate vocals from instrumental tracks. • Audio Conversion: Convert files to desired formats for seamless use in various projects. • User-Friendly Interface: Intuitive design for a smooth user experience. • High-Quality Output: Maintain audio clarity even after separation. • Batch Processing: Handle multiple tracks efficiently. • Preview Function: Listen to the output before finalizing.
What formats does Cafeteria support?
Cafeteria supports a wide range of audio formats, including WAV, MP3, and AIFF.
Can I use Cafeteria for free?
Cafeteria offers a free version with basic features. For advanced functionality, consider upgrading to a paid plan.
How long does it take to process a track?
Processing time depends on the file size and complexity, but results are typically available within minutes.