Alternatives to Ultimate Vocal Remover
Desktop app that separates vocals and instruments in songs using neural network models on your computer. The listings below can replace it for an important use case. Each note says what changes if you switch.
The original
Ultimate Vocal Remover
Desktop app that separates vocals and instruments in songs using neural network models on your computer.
Replacements
Listings that take over the same core job as Ultimate Vocal Remover.
LALAL.AI
An AI service that splits songs into vocal and instrument stems and cleans up voice recordings.
LALAL.AI separates many stem types and offers a local VST plugin plus web and mobile apps, but it is paid and web processing uploads your files.
Moises
An AI app for musicians that separates songs into stems for practice and remixing.
Moises separates stems on web, desktop and mobile with collaborative sessions aimed at practice, but processing runs on a hosted service with paid tiers.
Steinberg SpectraLayers
Spectral audio editor for noise removal and AI-assisted source separation.
Steinberg SpectraLayers adds AI source separation inside a paid spectral editor for Windows and macOS, with a steeper learning curve and no Linux build.
Loudly
An online AI music platform for generating, remixing, mastering and splitting stems of tracks.
Loudly offers stem splitting as a hosted web service alongside AI generation and mastering, so songs are uploaded rather than processed locally.
Similar software
Related functionality, not a direct replacement.
iZotope RX
An audio repair and restoration suite for removing noise, clicks and other problems from recordings.
Melodyne
A note-level pitch and timing editor for vocals, samples and other audio recordings.
Applio
A free, open-source AI voice conversion suite for covers, custom voice training and real-time voice changing.
Audacity
A multi-track audio editor and recorder that has been the free default for twenty-five years.
Descript
A video and audio editor where you edit recordings by editing their text transcript.
