Built for the Realities of Live DJ Sets
Standard music recognition apps were not designed for clubs. In loud, sonically complex settings where DJs pitch-shift tracks, blend transitions, and layer multiple records simultaneously, existing tools routinely fail. Beatport's new Track ID feature was built around those conditions from the ground up, identifying tracks within live DJ sets regardless of BPM manipulation, pitch variance, or mix complexities.
How It Works
The feature operates in three steps. Users tap the Track ID icon in the app's main navigation, let it intake the surrounding audio, and receive an instant result. Identified tracks are pulled up in the player screen for immediate preview and are simultaneously saved to a dedicated Track ID history within the user's profile.
Implications for Performance Royalties
The rollout carries commercial and community implications beyond simple discovery. Beatport Chief Revenue Officer Helen Sartory pointed to setlist reporting as the long-term use case: the feature could eventually serve as the foundation for accurate performance royalty tracking, helping to ensure that producers receive payouts for live plays that currently go unaccounted for.
Track ID was developed in partnership with seeqnc, a Vienna and Berlin-based AI music recognition platform focused on copyright transparency and monetization. The feature is available now via the Beatport mobile app on both iOS and Android.


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