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Open-Unmix

Free#17 of 21 in Stem Separation Software

Open-Unmix: An open-source toolkit for local four-stem separation through CLI and Python workflows. Ranked #17 of 21 in Stem Separation Software by our editors (7.8/10); pricing: Open source; best for developers wanting open-source four-stem separation.

7.8/10Editor score

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Open-Unmix7.8 Visit Open-Unmix

At a glance

Editor score
7.8 / 10
Pricing
Open source
Best for
Developers wanting open-source four-stem separation
Paid from
Free
Stem types
vocals, drums, bass, other instruments
Facts checked
19 Sep 2026

Where it wins
- Separates vocals, drums, bass, and other instruments with pretrained models
- Offers command-line, Python API, Torch Hub, and Docker workflows
- Supports batch processing, target selection, and residual-source generation
Where it doesn't
- Exports separated audio in WAV format
- Does not provide a dedicated desktop application
- Focuses primarily on four-stem music separation

Our verdict on Open-Unmix

Open-Unmix is an open-source PyTorch toolkit for separating music into vocals, drums, bass, and other instruments. It is aimed at researchers, audio engineers, artists, and developers who want to incorporate source separation into local audio workflows. Pretrained models include umx, umxhq, and umxl, and the toolkit also includes a speech-enhancement model. Rather than presenting a dedicated desktop interface, Open-Unmix offers command-line and Python workflows, with model loading through Torch Hub and Docker-based execution as additional options.

Its workflow flexibility is a central strength for technical users. Python APIs support loading models and separating audio, while batch processing handles multiple input files. Users can select targets and aggregate them, and optional residual-source generation and Wiener filtering provide additional processing choices. The surrounding ecosystem includes PyTorch and torchaudio, as well as Google Colab for notebook-based work. These options suit developers and research-oriented users fitting separation into existing code or audio-processing workflows; they are less suited to someone seeking a ready-made desktop editor.

The scope is comparatively focused: the verified music-separation output centers on four stems, with WAV as the export format. That makes Open-Unmix a reasonable fit when those stems and local processing align with the task, but a poor match for buyers who need broader stem choices, other export formats, or a dedicated desktop application. Its open-source model and technical entry points favor users comfortable working with software tools rather than a turnkey consumer interface. Choose it for programmable, open-source separation; look elsewhere if an app-led workflow or wider output-format support is essential.

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Open-Unmix pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.

See plans on github.com

Open-Unmix fact sheet

Free plan	Not verified
Paid from	Free
Stem types	vocals, drums, bass, other instruments
Max upload size	Not verified
Max track length	Not verified
Batch processing	Yes
Export formats	WAV
Desktop app	No
API access	Yes
Deployment	Desktop, Self-hosted
Platforms	Windows, macOS, Linux
Integrations	5 integrations: PyTorch, torchaudio, Torch Hub, Docker, Google Colab
Pricing	Open source
Website	github.com
Facts checked	19 Sep 2026

Open-Unmix integrations

Open-Unmix lists 5 integrations on its own site.

PyTorch
torchaudio
Torch Hub
Docker
Google Colab

Alternatives to Open-Unmix

See all Open-Unmix alternatives →

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Featured on iTechGuides

Open-Unmix is listed in our Stem Separation Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update