Koel vs Ultimate Vocal Remover
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
Self-hosted web music streaming server for your own music library, built on Laravel and Vue.
Open source · MIT
Desktop app that splits songs into vocals and instrumentals using deep neural networks.
The short answer
Choose Koel if you need…
- People who want to listen to their own music library from a browser
- Users who want playlists, scrobbling, and radio in one self-hosted place
- Developers who want to read or extend a Laravel and Vue codebase
- Users comfortable running their own server
Choose Ultimate Vocal Remover if you need…
- Musicians who want karaoke or practice backing tracks from existing songs
- Hobbyists who want to isolate vocals or instruments without using the command line
- Windows, macOS, or Linux users who prefer a point-and-click program
Side-by-side
| Koel | Ultimate Vocal Remover | |
|---|---|---|
| Type | App | App |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 17.3k | 26.9k |
| Setup difficulty | Intermediate | Beginner |
| How you get it | See the README | Download the app |
| Main language | PHP | Python |
| Last code update | 4 days ago | 30 days ago |
What each one is
Koel
Koel is a free, open-source music streaming app that scans your personal music collection and serves it through a web-based player you can use in any browser. Beyond playback, the README lists playlists, smart playlists, scrobbling, podcasts, radio, Last.fm, Spotify and MusicBrainz integrations, and an AI assistant that takes natural-language commands. It is built with Laravel and Vue.
Ultimate Vocal Remover
Ultimate Vocal Remover is a graphical app that uses trained source separation models to take a song and remove the vocals, leaving an instrumental track, or split out the vocals on their own. People use it to make karaoke tracks, practice with backing music, or isolate parts of a recording. The README says the core developers trained the bundled models, except the Demucs v3 and v4 4-stem models.
Best for
Koel
- People who want to listen to their own music library from a browser
- Users who want playlists, scrobbling, and radio in one self-hosted place
- Developers who want to read or extend a Laravel and Vue codebase
- Users comfortable running their own server
Ultimate Vocal Remover
- Musicians who want karaoke or practice backing tracks from existing songs
- Hobbyists who want to isolate vocals or instruments without using the command line
- Windows, macOS, or Linux users who prefer a point-and-click program
Strengths
Koel
- Free and open source under the MIT license
- Works in any modern browser, per the README
- Covers playlists, scrobbling, podcasts and radio in one app
Ultimate Vocal Remover
- Ships as ready-to-run installers that bundle Python and PyTorch, according to the README
- Offers a graphical interface instead of requiring command-line work for normal use
- Released under the MIT license and has a large community of users on GitHub
Not ideal for
Koel
- People who want a hosted service with no setup, since the README points to self-installation via its documentation
- Users who need multi-user libraries, SSO or cloud storage drivers without the premium Koel Plus edition, which the README describes as a separate paid product
- Users looking for a native mobile app, since the README points to a separate Koel Player project for that
Ultimate Vocal Remover
- People who need a hosted web service with no install, since the README centers on downloadable installers and manual setups
- Users on very old or budget hardware, because the README says functionality on older or budget Macs and Windows 7 or lower is not guaranteed
- Developers who want a programmatic library, since the README describes a GUI application rather than an API
Trade-offs
Koel
- Requires running your own server, so some setup is needed; the README defers installation details to external documentation
- Some features such as multi-user libraries and SSO are described as part of the separate paid Koel Plus edition
- The README is truncated here, so specific system requirements are not confirmed from this source
Ultimate Vocal Remover
- Setup can be fiddly: the README asks for extra FFmpeg and Rubber Band downloads for some features, and warns against installing on a secondary Windows drive
- macOS users may need Terminal commands to get past security prompts, and the README suggests re-enabling that security setting afterward
- Some hardware support is described as not guaranteed, so results depend on your computer
Getting started
Koel
Clone the repository
git clone https://github.com/koel/koel.gitUltimate Vocal Remover
Clone the repository (manual install route)
git clone https://github.com/Anjok07/ultimatevocalremoverguiFrequently asked questions
What is the difference between Koel and Ultimate Vocal Remover?
Koel: Self-hosted web music streaming server for your own music library, built on Laravel and Vue. Ultimate Vocal Remover: Desktop app that splits songs into vocals and instrumentals using deep neural networks. Koel suits people who want to listen to their own music library from a browser, while Ultimate Vocal Remover suits musicians who want karaoke or practice backing tracks from existing songs.
Are Koel and Ultimate Vocal Remover free?
Koel: Free and open source. Ultimate Vocal Remover: Free and open source.
Which is easier to set up, Koel or Ultimate Vocal Remover?
Ultimate Vocal Remover is easier to get started with (rated beginner); Koel is rated intermediate and usually needs more setup.
Is Koel or Ultimate Vocal Remover more popular?
Ultimate Vocal Remover has more GitHub stars (26.9k) than Koel (17.3k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to Koel and Ultimate Vocal Remover?
Other options people compare them with include YesPlayMusic, Pear Desktop, Alger Music Player, Krayin CRM, Spleeter.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.