LibreAI / AI Music / tunesplit
// ai-music Β· rudydelorenzo/tunesplit

tunesplit

Separate music tracks into stems in a web app.

πŸ’Ž Hidden gemβ˜… 62 starsβ‘‚ 3 forksCustomupdated 2026-07
β–¦ visual β€” this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

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.

GitHub stars
62
Forks
3
License
Custom
Last updated on GitHub
25 July 2026
Category
AI Music
Listing
Hidden gem β€” a shorter page for a lesser-known project
Official site
GitHub
// how it works

How it works

  1. Clarify your goal

    Decide what you want the project to do before installing anything.

  2. Clone the repo

    Grab the source and skim the README for setup requirements.

  3. Install and configure

    Install dependencies and add any API keys or settings it needs.

  4. Run your first task

    Launch it and follow the example workflow from the docs.

// features

Why people love it

Research implementations

Faithful ports of published models.

Open source

Tweak models and pipelines freely.

Source separation

Splits songs into vocals, drums, bass, and more.

Text-to-music

Describe a track and get audio back.

Local inference

Generate music without cloud APIs.

High-quality output

Studio-grade sample rates and formats.

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// run it

Run it yourself

  1. Step 1 β€” Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/rudydelorenzo/tunesplit.git
    cd tunesplit
  2. Step 2 β€” Install dependencies

    Pull in the Node packages the project needs.

    npm install
  3. Step 3 β€” Run it

    Start the dev server and open the printed URL.

    npm run dev
// use cases

What you can build

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// faq

Questions, answered

Who maintains tunesplit?

It is an open-source project at rudydelorenzo/tunesplit with 3 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.

Is tunesplit free to use?

The project uses a custom license β€” read the LICENSE file in the repo before commercial use.

What quality is the output?

Typically 44.1–48kHz stereo β€” good enough for demos and remixes.

Do I need a GPU?

Separation and generation run much faster on GPU, but CPU works for short tracks.

Can I use the results commercially?

Check the model's license β€” the code license and model weights may differ.

// keep exploring

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// alternatives

Alternatives in AI Music

The most-starred other AI Music projects in the LibreAI catalogue β€” the realistic shortlist if tunesplit is not the right fit.

Get tunesplit

Free and open β€” grab the source, star the repo, and start creating.