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ToolStemRoller (open source)/10 trustVerified
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StemRoller

Free desktop app for one-click stem separation

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About

StemRoller is a free, open-source desktop app that splits any song into vocals, drums, bass and other stems using Meta's Demucs algorithm, with a built-in search so you just type a song title and hit split. It also auto-generates an instrumental by merging the non-vocal stems. Splitting takes several minutes per track, Linux is not officially supported, and like all separation tools it works best on cleanly mixed material, but for a free one-click tool it is remarkably capable.

What it can do

  • One-click Demucs stem separation
  • Vocals, drums, bass and other stems
  • Automatic instrumental generation
  • Song search integration
  • Free and open-source
  • Multiple stem models (including 6-stem)

Setup

  1. Download StemRoller for Windows or macOS from the website or GitHub releases
  2. Install and launch the app
  3. Search for a song title and press Split
  4. Open the folder with the extracted stems

Prerequisites

Windows or macOS; enough disk space and patience for local processing.

Use cases

karaoke track creationpractice stems for musiciansDJ edits and mashups

Works with

Any agent (.md)

Trust score — 7/10

/10 trustVerified

Scored 7/10 (verified tier, metrics-v1). Evidence: Open-source desktop app on GitHub (stemrollerapp/stemroller); One-click Demucs separation with song search; Splitting takes several minutes per track; Linux not officially supported. License: Open source (GitHub); uses Meta Demucs model..

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
6.0/10
Maintenance · recency, releases, issue load
5.0/10
Openness · license + docs
9.0/10
Manual review · sanity read + red-flag check
7.0/10
  • · Open-source desktop app on GitHub (stemrollerapp/stemroller)
  • · One-click Demucs separation with song search
  • · Splitting takes several minutes per track
  • · Linux not officially supported

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.