TrackSniff is a new web-based AI tool that does something Shazam can’t – it analyses entire DJ mixes and returns timestamped tracklists. The service actually launched in August 2025, but it only just came to our attention when one of our students flagged it for us.
The idea is that you paste a YouTube, Mixcloud, or SoundCloud URL (or upload an audio file), and the platform identifies each track with timestamps, BPM, key, genre, and a ‘confidence’ score.
Does it work?
We haven’t had time to test it, but London’s On The Rise DJ Academy has, and their results were mixed: it correctly identified well-known tracks but also got several wrong, particularly with piano-heavy house music where similar-sounding records confused the fingerprinting system. Processing times ran to around ten minutes for a single set.
Each identification gets one of five confidence tiers – Unknown, Unclear, Possible, Likely, and Verified – which is a smart transparency feature. You can quickly see which IDs the system is confident about and which are educated guesses.
What does it cost?
TrackSniff runs a freemium model. The free tier gives you 50 recognitions per month with a 90-minute mix length limit and 100MB file uploads. Paid plans start at $9/month (Pro) and $19/month (Elite), with longer mix limits, batch processing, and CSV/PDF export.
For frequent users, annual billing is available at a discount – $7.20/month for Pro and $15.20/month for Elite when paid yearly.
First Thoughts
TrackSniff is tackling the right problem. Shazam falls apart with continuous mixes, crossfading, and effects processing, and the alternatives – manually trawling 1001Tracklists, asking on forums, or setting up developer API accounts with services like ACRCloud – aren’t exactly convenient. Having a simple paste-a-URL tool that handles the whole process is beguiling for DJs, for sure.
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The smart move is to try it on the free plan with your own mixes and see how it performs with the music you actually play. Fifty free recognitions a month gives you plenty of room to find out whether it delivers before you commit to a subscription. If the accuracy holds up for your genre, it could save hours of trainspotting work. Find out more on the TrackSniff website.
