Ross ROSS = Recommend OSS · open-source software intelligence for agents

jianchang512/vocal-separate

an extremely simple tool for separating vocals and background music, completely localized for web operation, using 2stems/4stems/5stems models 这是一个极简的人声和背景音乐分离工具,本地化网页操作,无需连接外网 observed · 2026-08-28

github.com/jianchang512/vocal-separate · homepage · Python · GPL-3.0 (copyleft) · archived observed · 2026-08-28

Health v2 · maintenance only

10/100

  • Activity 0
  • Release rhythm 8
  • Longevity 70

Flags: archived

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 981
  • days_rel: n/a
  • days_push: 645
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1998 stars · 223 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A minimal local web-based tool for separating vocals from background music in audio or video files, using Spleeter 2stems/4stems/5stems models that are bundled offline. It runs entirely locally with a browser UI, supports CUDA acceleration, and exposes a simple HTTP API.

Use cases

  • extract vocals from a song for karaoke or remixing
  • separate accompaniment from a music video
  • split a track into drums, bass, piano, and vocals stems
  • process audio/video files offline without uploading to the cloud
  • batch-separate audio via a local API

When to choose

  • you need fully offline, local vocal/music separation with no internet
  • you want a simple two-click GUI rather than scripting Spleeter yourself
  • you have an NVIDIA GPU and want CUDA-accelerated separation

When to avoid

  • you need state-of-the-art separation quality beyond Spleeter models
  • you need a headless library to embed in your own Python code rather than a standalone app
  • you require non-wav output formats or heavy batch pipelines

Facets

application · maturity active

audio-processing machine-learning gui http-server media machine-learning self-hosted windows python cross-platform vocal-separation spleeter music-source-separation offline web-ui cuda-acceleration audio linux macos

2 sources

Member repositories

RepositoryRoleHealth v2
jianchang512/vocal-separatemain10

For agents

markdown · JSON · MCP: product_card(name="jianchang512/vocal-separate")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem