AI Music Identification, Real-Time Removal, and Automated Cue Sheets
If you're looking for clean voice isolation, we also have our dedicated Dialogue Isolation model.
What is AudioShake’s Music Clearance System?




Identify, remove, and document music in one go
Isolate the music in any media file, identify what’s there, and when it is present in a piece of content. The system returns artist, song title, album, label, release date, and ISRC for each music segment. Teams review the results and adjust as needed before exporting or removing anything.
Detects music usage in finished content and generates structured cue sheets. Reduces manual reporting work for broadcast compliance and music licensing workflows.
| Musical Composition | Performer(s) | Time In / Time Out | Record Labels | Confidence |
| Streamline Intro | kashc | 00:00:00/00:00:10 (00:00:10) | kashc/ | 0.996 |
| Wingsuits | Marcus Rivers | 00:00:10/00:01:30 (00:01:20) | Streamline Studios, LLC/ | 0.996 |
| Close Friends Anthem | Riley Chen | 00:01:50/00:02:40 (00:00:50) | Wavelength Records/ | 0.996 |
| Huck Calls | Marcus Rivers | 00:05:10/00:05:50 (00:00:40) | Streamline Studios, LLC/ | 0.996 |
Strip copyrighted music from live broadcasts, sports feeds, and streams before content goes to air, in real time, on-device via the SDK. Or remove it in batch via the API across finished audio and video for catalog and post-production work. The same separation models run in both modes. Dialogue, effects, and ambient sound stay intact.
Where teams use our Music Clearance System
How to use Music Clearance
FAQ
Music captured incidentally in live events, venue footage, sports clips, and social content routinely triggers copyright claims, muted audio, and distribution blocks. AudioShake's system identifies the music present — including song identity and rights holder metadata — and removes it before or during distribution, allowing teams to publish or redistribute content without infringing on music rights they don't hold. This supports DMCA compliance workflows for broadcasters, sports leagues, and creator platforms at scale.
Yes. AudioShake's separation model isolates music as a discrete audio element, leaving dialogue, crowd noise, commentary, and ambient sound intact in the output. This makes it well-suited for live sports broadcasts, events, and streaming workflows where crowd atmosphere and commentary are part of the content's value.
AudioShake's music detection model scans audio or video content, identifies where music is present, and returns song-level metadata including track title, artist, and rights holder information. The music removal model then separates and eliminates the detected music from the audio, producing a clean output with all other elements — dialogue, ambient sound, and effects — fully preserved. The two models work together as AudioShake's Copyright Compliance system and are available via SDK for real-time and on-device workflows.
AudioShake's Commercial Music Removal model detects and strips licensed or copyrighted music from finished recordings before distribution — preventing copyright claims, platform takedowns, and licensing disputes. It processes fully mixed audio and video files without requiring original session material.


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