Add real-time audio separation to any pipeline
Available on iOS/MacOS, Android, Windows, and Linux platforms, with local inference times optimized for each. You’ll always get the best speed wherever you deploy.
What is a stem separation SDK?





Separation models across voice, film, TV, and music
Isolates spoken dialogue from background sound in real-time streams. Cleans voice inputs before they reach ASR, transcription, translation, or A1 audio engineer workflows — with ~25% improvement in ASR accuracy in noisy audio environment.
Dialogue RT delivers 11ms latency for live broadcast workflows — built for live sports, news, commentary, transcription, and real-time speech applications.
Read more about Dialogue RT →Removes copyrighted background music from live or streamed audio while preserving dialogue and effects. Built for broadcasters, sports commentary, and content platforms managing copyright compliance on live feeds.
Isolates vocals, instruments, or up to 14 different instrument stems from any song in real time. Used by music apps, learning platforms, and DJ tools to give users stem-level control inside a consumer experience.
Built for production workflows
Authentic and scalable speech recovery
11ms latency
Isolate clean dialogue from crowd noise
11ms latency
Get started with our SDK
FAQ
The SDK runs on iOS, macOS, Windows, Android, and Linux, so the same real-time separation can power mobile apps, desktop software, and embedded products from a single underlying technology.
Yes. AudioShake's SDK provides real-time audio separation for on-device and live applications, available for iOS, macOS, Windows, Android, and Linux. The SDK has been used to power DJ applications, live translation tools, real-time transcription services, and interactive music experiences where audio must be separated at production latency.






