moseca
Separate vocals and instruments in the browser with Demucs.
Separate music tracks into stems in a web app.
tunesplit is an open-source ai music project by rudydelorenzo (rudydelorenzo/tunesplit on GitHub). It has 62 GitHub stars and 3 forks, is released under the Custom license, and was last updated on GitHub on 25 July 2026.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Faithful ports of published models.
Tweak models and pipelines freely.
Splits songs into vocals, drums, bass, and more.
Describe a track and get audio back.
Generate music without cloud APIs.
Studio-grade sample rates and formats.
Download the source and move into the project folder.
git clone https://github.com/rudydelorenzo/tunesplit.git
cd tunesplitPull in the Node packages the project needs.
npm installStart the dev server and open the printed URL.
npm run devIt is an open-source project at rudydelorenzo/tunesplit with 3 forks. Check the repoβs contributors and recent commits to judge how active maintenance is.
The project uses a custom license β read the LICENSE file in the repo before commercial use.
Typically 44.1β48kHz stereo β good enough for demos and remixes.
Separation and generation run much faster on GPU, but CPU works for short tracks.
Check the model's license β the code license and model weights may differ.
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Mobile app that splits songs into stems with on-device deep learning.
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The most-starred other AI Music projects in the LibreAI catalogue β the realistic shortlist if tunesplit is not the right fit.
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Free and open β grab the source, star the repo, and start creating.