Most identification systems work fine with pristine, unmodified audio. But that's not how music lives on the internet. Trakr is engineered for the messy reality of social media.
Speed and pitch changes
Sped-up audio is one of the most common modifications on TikTok and Reels. Trakr identifies tracks across a wide range of speed and pitch variations.
Covers and Compositions
Beyond recording-level matching, Trakr identifies the underlying composition through melody analysis. This catches covers, live performances, and interpolations that recording-only systems miss.
Remixes and Mashups
When multiple tracks are layered together, Trakr can separate and identify individual components within the mix.
Background noise and voiceover
Music playing behind speech, environmental noise, or other audio? Trakr isolates and identifies the music layer.
Content enters Trakr through multiple paths: direct file upload, URL submission, API integration, or automated platform monitoring. We accept all standard audio and video formats.
Trakr extracts the audio layer and generates a compact digital fingerprint. This process is local and secure — we never need the original content to be stored or shared. Fingerprints are mathematical representations, not audio files, and cannot be used to reconstruct the original content.
The fingerprint is compared against our reference database of recordings and compositions. Our matching engine is optimized for both speed and accuracy — returning results in seconds even at massive scale.
Every match is enriched with metadata and rights information: track title, artist, ISRC, rights holders, and licensing data. This transforms a raw identification into actionable intelligence.
Results appear in your dashboard in real time, or are delivered via API to your existing workflow. Every identification includes confidence scoring and recommended actions.
Other systems give you a match and expect you to figure out the rest. Trakr was built around a different principle: every identification should come with enough context to act on.
That means showing you not just what was identified, but how confident the match is, who owns the rights, what licenses exist, and what your options are. No black boxes. No unexplained results.
Our identification technology is continuously tested and improved. We publish accuracy benchmarks and believe that transparency about what we can and can't identify is more valuable than overpromising.
