AudioShake

Separating a song into its individual components — vocals, drums, bass, other instruments — used to require the original studio multitrack files. AudioShake works on a genuinely harder version of that problem: pulling apart audio that only exists as a final mixed track, using AI source separation trained specifically for music and speech.

That capability matters commercially in ways that go beyond remixing for fun. Music rights holders use stem separation to create instrumental versions for licensing, dubbing studios use it to isolate dialogue from background music and effects, and podcast producers use it to clean up audio where music and speech were recorded together. It's infrastructure-grade audio processing aimed at these professional and semi-professional workflows.

Separation quality in this category — across every vendor, not specifically AudioShake — still varies by how cleanly the original mix was produced; a well-mixed track separates more cleanly than a heavily layered, effects-drenched one. Worth testing on your actual source material before committing to a workflow built around it. See our Audio & Music category for related audio processing tools.

Stem separation for licensing

Creates instrumental or isolated stems from finished tracks for licensing use.

Dialogue isolation for dubbing

Separates spoken dialogue from background music and effects for localization work.

Podcast audio cleanup

Isolates speech from background music in recordings where they were captured together.

Can AudioShake separate any song into stems?

Quality depends on how the original track was mixed — cleaner mixes separate more reliably than heavily layered, effects-heavy ones.

Is AudioShake used for dubbing?

Yes, isolating dialogue from music and effects is a common professional use case.

Does AudioShake offer an API?

Yes, API access supports integrating separation into existing production workflows.

Is this only for musicians?

No, licensing, dubbing, and podcast production teams are also common users.