General skillMedia, audio and video

music-stem-separation

Separate lead vocals, harmonies, instrumentals, and reverb from mixed music.

Stars
1
Forks
0
License
MIT
Updated
Updated Jun 12, 2026

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Project overview

Run one command to turn a mixed track into instrumental, full-vocal, harmony, lead-vocal, extracted-reverb, dereverbed, and lightly de-essed outputs. The cross-platform Python driver uses several audio-separator model ensembles and can also be invoked as an agent skill. It requires Python, ffmpeg, and audio-separator, downloads roughly 5–6 GB of models on first use, and runs much more slowly without acceleration. The downloaded separation models have their own licenses, which should be reviewed separately for commercial use.

Repository facts

Primary language
Python
License
MIT
Repository updated
Jun 12, 2026
Default branch
main

Resource types

General skill

Use cases

Media, audio and video

Platforms

Claude Code, Codex, and more

Runtime

Local

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