Detect, Identify, and Remove Copyrighted Music at Scale
Organizations that publish, distribute, or manage large volumes of audio and video content need to identify copyrighted music before it creates licensing, monetization, or compliance issues. AudioShake helps teams detect music, identify recordings, generate cue sheet data, and remove commercial music when necessary, enabling scalable copyright compliance workflows across media libraries and live content.
Automate Music Rights Management and Copyright Compliance
Manual review of music usage is difficult to scale across large content libraries. AudioShake combines music detection, music identification, cue sheet generation, and commercial music removal to help organizations identify copyrighted content, reduce compliance risks, and streamline rights management workflows.
“AudioShake's production-grade quality gives us the flexibility to reformat videos for different platforms, languages, and partnerships without losing the energy and emotion that make Mark's videos special.”
Common Copyright Compliance Workflows
Broadcasters, content platforms, studios, archives, and media companies use AudioShake to automate copyright review processes and reduce the risk of takedowns, licensing disputes, and publishing delays.
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Related Solutions
Find where music plays across large content libraries.
Identify the tracks present so usage can be logged and reported.
Remove music from a recording to resolve a rights conflict.
Frequently Asked Questions
Because detection works on separated audio rather than the raw mix, AudioShake can surface music even when it sits low under dialogue, commentary, or crowd noise — the situations where music is easiest to miss in a manual review of a large library.
Identification matches detected music against reference catalogs and returns the title, artist, album, label, release date, and ISRC for each segment, with time-aligned cue points. When a segment doesn't match a known recording — common for original scores or unreleased music — detection still flags it so it can be reviewed manually before reporting.
Yes. Running through the real-time SDK, detection and identification can operate on live streams as they air, flagging copyrighted music in the moment rather than only in post — useful for broadcast monitoring and live compliance.
Detection finds where music occurs in a file and timestamps it. Identification determines which track it is, returning metadata like title, artist, and ISRC. Removal strips the music out while preserving dialogue and other audio. They're separate steps in the Copyright Compliance System and can be used independently or as one pipeline.
Yes. AudioShake's Commercial Music Removal model detects and removes licensed background music from finished recordings — interview footage, podcasts, livestream archives, UGC — so the content can be distributed without copyright claims, takedowns, or licensing disputes.
