AI Stem Separation
AI Audio Source Separation
Separate any mixed audio into its sources with AI — the umbrella task behind vocal, drum, and instrument isolation.
About this tool
Audio source separation is the research name for what stem splitters do: decompose a recording into independent sources (voice, music, noise) without the original stems.
Understanding it helps you pick the right tool and preset, since "stem separation," "vocal remover," and "source separation" are the same family of models.
How to Audio Source Separation with AI
- Identify your target. Decide which source (voice, music, instrument) you need.
- Pick the matching preset. Use vocal, instrument, or generic separation.
- Export the sources. Download each isolated source as a file.
Common Uses for Audio Source Separation
- Podcast cleanup. Split speech from background music and noise.
- Forensics. Isolate a voice from a noisy room recording.
- Music remixing. Break a song into reusable stems.
FAQ
- Is it the same as stem separation?
- Yes — stem separation is source separation applied to music; the models are the same family.
- How many sources at once?
- Most tools handle 2–6 stems; more sources mean more bleed between them.
- Does it need the original stems?
- No — that is the whole point: it works from a finished mixed file.
Want to separate stems? Upload a track and download clean, royalty-free stems in seconds. Free tier included.