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ToolAudioStrip/10 trustMetrics-checked

AudioStrip

Free web-based vocal and stem separation

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About

AudioStrip is a free web app that splits songs into vocals and backing tracks using AI models from the open-source Splitter and Demucs libraries, wrapped in a simple interface for non-technical users. It is useful for karaoke tracks, acapella extraction and sampling. The site itself is thinly documented, higher-quality extractions sit behind paid options, and the underlying separation quality depends on community models rather than proprietary tech, so set expectations accordingly.

What it can do

  • AI vocal and instrumental separation
  • Stem downloads (MP3/WAV)
  • Browser-based, no install
  • Free tier with basic separation
  • Paid options for higher quality
  • DAW-compatible exports

Setup

  1. Open the AudioStrip website
  2. Upload an audio file from your device
  3. Let the AI analyze and separate the stems
  4. Preview and download the separated files

Prerequisites

A web browser and an audio file to process.

Use cases

vocal removal for karaokeacapella extraction for remixessample isolation for producers

Works with

Any agent (.md)

Trust score — 6/10

/10 trustMetrics-checked

Scored 6/10 (metrics tier, metrics-v1). Evidence: Thinly documented web app; vendor identity not clearly published; Wraps open-source Splitter/Demucs models in a simple web UI; Free tier with paid options for higher-quality extraction; Separation quality depends on community models. License: Service terms unclear; underlying models are open-source (Splitter/Demucs lineage)..

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
5.0/10
Maintenance · recency, releases, issue load
4.0/10
Openness · license + docs
5.0/10
Manual review · sanity read + red-flag check
6.0/10
  • · Thinly documented web app; vendor identity not clearly published
  • · Wraps open-source Splitter/Demucs models in a simple web UI
  • · Free tier with paid options for higher-quality extraction
  • · Separation quality depends on community models

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.