Topics / #karaoke

Karaoke projects on GitHub

Separating vocals from music to make karaoke tracks.

As of , the most-starred Karaoke projects on GitHub are ultimatevocalremovergui (26.7K stars), voice-pro (13.3K stars) and demucs (10.4K stars). GitHub.Locker tracks 5 Karaoke repositories with 55.3K stars combined. The fastest-growing on October 20 was vivi-music, with +35 stars in a day.

5Projects
55.3KStars in total
+90Stars in a day

Hot right now

Most stars gained in a day · Oct 20

The all-time top

5 projects · by stars

  1. #1 · Anjok07/ultimatevocalremovergui

    ultimatevocalremovergui

    UVR is a free desktop app that removes vocals from audio files using state-of-the-art AI source-separation models — handy for karaoke tracks, instrumentals and sampling.

    26.7K
  2. #2 · abus-aikorea/voice-pro

    voice-pro

    Voice-Pro is a free, open-source AI web app (built with Gradio) that combines speech recognition, zero-shot voice cloning, text-to-speech, YouTube downloading, vocal isolation, and multilingual translation into one tool for creators and researchers.

    13.3K
  3. #3 · facebookresearch/demucs

    demucs

    Demucs is a state-of-the-art music source separation model from Meta's research lab: give it a song and it splits it into stems — drums, bass, vocals and the rest of the accompaniment.

    10.4K
  1. 4

    vivi-music

    3.8Kvivizzz007/vivi-music · Kotlin

    Vivi Music is an Android app that streams music from YouTube Music with a Material 3 'Material You' interface, offline downloads, synced lyrics, and a fully local, tracker-free design.

  2. 5

    stemkit

    1.1Kdanielravina/stemkit · TypeScript

    StemKit splits any YouTube song into isolated stems — vocals, drums, bass, guitar, piano and more — running entirely on your own machine, with a mini DAW-style player to mix/mute/solo each stem.

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