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LALAL.AI vs Ultimate Vocal Remover

LALAL.AI

lalal.ai

Ultimate Vocal Remover

github.com

Side by side

FigureLALAL.AIUltimate Vocal Remover
Price from$7.50/moFree
Free planYesYes
Free trial——
Open source——
WebYes—
WindowsYesYes
macOSYesYes
LinuxYesYes
iOSYes—
AndroidYes—
APIYes—
Plans published111
Spec score · AI stem splitters9.2 (#3)7.3 (#23)
Spec score · Stem Separation Software9.2 (#3)7.3 (#20)
SupportThe site lists support at [email protected].Users are directed to GitHub Issues for help and asked to include detailed reports, with error logs when possible.

Plans

LALAL.AI

  • Lite$7.50 a month
  • Pro$15 a month
  • StarterFree
  • Lite€6.75 a month
  • Pro€13.50 a month
  • Master top-up$50, paid once
  • Master Top-Up$50, paid once
  • Premium top-up$190, paid once
  • Premium Top-Up$190, paid once
  • Enterprise top-up$300, paid once

LALAL.AI pricing →

Ultimate Vocal Remover

  • Ultimate Vocal Remover GUIFree

Ultimate Vocal Remover pricing →

In their own words

LALAL.AI

LALAL.AI uses AI to separate vocals and instrument stems, clean voice recordings, change or clone voices, and reduce echo and reverb. Its available stem types include vocals, instrumental, drums, bass, electric and acoustic guitar, piano, synthesizer, strings, and wind instruments. The web vocal remover accepts audio and video formats, including MP3, WAV, FLAC, MP4, and MOV. Fast Queue prioritizes processing, while Relaxed Queue processes as server capacity allows; both provide the same separation quality. Usage minutes are calculated by multiplying file length by the number of selected stem types. The desktop app supports Windows, macOS, and Ubuntu Linux, with batch processing for up to 20 files; Pro subscribers can optionally process locally offline. The API and VST plugin offer other ways to use the tools. The free Starter plan includes 10 Relaxed Queue minutes, but does not allow full downloads. Lite costs $7.50 a month billed annually.

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Ultimate Vocal Remover

Ultimate Vocal Remover is a free desktop application for separating audio sources and removing vocals from audio files. It uses deep neural network source-separation models and supports batch processing. Exports are available in WAV, FLAC, and MP3, with stem choices including vocals, instrumental, other, bass, drums, guitar, piano, synthesizer, strings, woodwinds, brass, and wind instruments. The project describes itself as fully open source and free to use and modify. Its GUI code uses the MIT license, while developers using the models are asked to credit UVR and its developers. UVR runs on Linux, macOS, and Windows. Windows installation targets Windows 10 or newer and requires the main C: drive. macOS downloads target Big Sur or newer and distinguish Apple Silicon from Intel. Linux instructions cover Debian- and Arch-based systems. FFmpeg handles non-WAV files, and Rubber Band supports time-stretch and pitch-shift tools.

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