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Spleeter

Free#18 of 21 in Stem Separation SoftwareAI Stem Splitters

Spleeter: A self-hosted library for separating music into two, four, or five stems. Ranked #18 of 21 in Stem Separation Software by our editors (7.7/10); pricing: Open source; best for developers building simple open-source pipelines.

7.7/10Editor score

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Spleeter7.7 Visit Spleeter

At a glance

Editor score
7.7 / 10
Pricing
Open source
Best for
Developers building simple open-source pipelines
Paid from
Free
Stem types
vocals, accompaniment, drums, bass, piano, other
Facts checked
19 Sep 2026

Where it wins
- Separates audio into two-, four-, or five-stem groups.
- Supports batch processing through its command-line interface.
- Offers a Python API, Docker support, and custom model training.
Where it doesn't
- Requires a self-hosted setup rather than a hosted service.
- Exports WAV audio only.
- Has no desktop app.

Our verdict on Spleeter

Spleeter is Deezer’s open-source Python library for separating music audio into independent stems. It is aimed at developers who want to add source separation to a Python or command-line workflow, rather than people seeking a hosted service or desktop application. Pretrained models handle two-stem vocals and accompaniment, four-stem vocals, drums, bass and other, or five-stem separation that also includes piano. The stated stem types also include other, and output is WAV.

Its main strength is workflow flexibility for code-based projects. Audio files can be separated through the command line, while the Python library API supports waveform- and file-based separation. Batch processing lets users process multiple files in one command. Spleeter can be installed with pip or run using Docker, and its listed integrations include Python, Docker and FFmpeg. Developers with suitable datasets can also train custom source-separation models. These options make it a fit for building and adapting a pipeline; it is not a hosted web API or a desktop app.

The trade-off is that Spleeter is self-hosted, so teams need to run it in their own environment. Its export coverage is limited to WAV, which may not suit workflows that require other output formats. Buyers looking for a ready-to-use hosted product, a desktop interface, or broader export options should consider another tool. Developers comfortable working in Python or at the command line, especially those who value an open-source library, batch processing, and the ability to train models, are the clearer fit.

Your product? Our editors can test Spleeter in depth and publish a review, labelled as paid · from $149/mo →

Spleeter pricing

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

See plans on github.com

Spleeter fact sheet

Free plan	Not verified
Paid from	Free
Stem types	vocals, accompaniment, drums, bass, piano, other
Max upload size	Not verified
Max track length	Not verified
Batch processing	Yes
Export formats	WAV
Desktop app	No
API access	Yes
Deployment	Self-hosted
Integrations	3 integrations: Python, Docker, FFmpeg
Pricing	Open source
Website	github.com
Facts checked	19 Sep 2026

Spleeter integrations

Spleeter lists 3 integrations on its own site.

Python
Docker
FFmpeg

Alternatives to Spleeter

See all Spleeter alternatives →

Also Ranked In

Spleeter is ranked in 2 of our directories.

#16AI Stem Splitters26 tools ranked

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Featured on iTechGuides

Spleeter 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

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Last updated 7 Oct 2026 · How we research and update