Ultimate Vocal Remover
Ultimate Vocal Remover: A free desktop stem separator with several model families and batch processing. Ranked #7 of 21 in Stem Separation Software by our editors (8.8/10); pricing: Free plan; best for free desktop users comparing separation models.
At a glance
- Editor score8.8 / 10
- PricingFree plan
- Best forFree desktop users comparing separation models
- Free planYes
- Paid fromFree
- Stem typesVocals, Instrumental, Other, Bass, Drums, Guitar, Piano, Synthesizer, Strings, Woodwinds, Brass, Wind Inst
- Facts checked19 Sep 2026
Where it wins
- Supports MDX-Net and Demucs v1 through v4 models.
- Offers two-, four-, and six-stem modes with batch processing.
- Runs on Windows, macOS, and Linux; imports and exports FFmpeg formats.
Where it doesn't
- It is a local desktop app, not a hosted web workflow.
- There is no public API documentation.
- Model selection and ensemble options may not suit users seeking a simple workflow.
Our verdict on Ultimate Vocal Remover
Ultimate Vocal Remover (UVR) is a free, open-source desktop application for separating vocals and other musical stems from audio files. It is aimed at people who want to process tracks locally and compare different neural-network separation models. The available outputs include vocals, instrumental, drums, bass, guitar, piano, and other stems, with two-, four-, and six-stem options. Desktop downloads are available for Windows, macOS, and Linux, making it a fit for users who prefer a local application over a hosted service.
Model choice is a central part of UVR’s appeal. It supports MDX-Net, including MDX23C models, as well as Demucs versions 1 through 4. Batch mode can process multiple files, while ensemble processing combines multiple models. Time-stretch and pitch-shift tools extend the workflow beyond separation. Audio import and export use FFmpeg-supported formats; listed export formats include WAV, FLAC, and MP3, and FFmpeg and Rubber Band are named integrations. This breadth will appeal to users who want to compare approaches or handle different stem outputs, though people seeking a minimal, one-click tool may prefer a narrower workflow.
UVR’s open-source, free desktop model suits users comfortable choosing models and managing audio files on their own computer. It is not a hosted web service, and there is no public API documentation, so teams seeking browser-based processing or programmatic access should look elsewhere. The product’s core proposition is local stem separation with several model families and processing options, rather than a web platform or automated integration layer. Pick it for cost-free desktop access across three operating systems; consider alternatives if your workflow depends on an online service or API.
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Ultimate Vocal Remover pricing
Ultimate Vocal Remover fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Stem types | Vocals, Instrumental, Other, Bass, Drums, Guitar, Piano, Synthesizer, Strings, Woodwinds, Brass, Wind Inst |
| Max upload size | Not verified |
| Max track length | Not verified |
| Batch processing | Yes |
| Export formats | WAV, FLAC, MP3 |
| Desktop app | Yes |
| API access | Not verified |
| Deployment | Desktop |
| Platforms | Windows, macOS, Linux |
| Integrations | 2 integrations: FFmpeg, Rubber Band |
| Pricing | Free plan |
| Website | github.com |
| Facts checked | 19 Sep 2026 |
Ultimate Vocal Remover integrations
Ultimate Vocal Remover lists 2 integrations on its own site.
- FFmpeg
- Rubber Band
Alternatives to Ultimate Vocal Remover
- FadrA free starting point for stem separation, remix tools, MIDI detection and API workflows.9.4
- LALAL.AIFlexible stem separation with web, app, plugin, and API access.9.3
- MoisesA broad stem-separation toolkit for musicians, with bulk processing and apps across platforms.9.2
See all Ultimate Vocal Remover alternatives →
Ultimate Vocal Remover vs the competition
- Ultimate Vocal Remover vs Fadr
- Ultimate Vocal Remover vs LALAL.AI
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Also Ranked In
Ultimate Vocal Remover is ranked in 2 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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