The same week Deezer revealed that 44 percent of the music uploaded to its platform is AI-generated, the streamer shipped a public tool that helps anyone spot synthetic tracks in their own playlists — even on rival services. The free web detector accepts imports from 20 platforms in 27 languages, and it arrives as every major streamer wrestles with the same two questions: what counts as AI music, and who decides.
Free For Everyone
The tool lives on Deezer’s website: pick a streaming service, connect the account, and let the scan run. Deezer then marks AI-generated tracks and offers a shareable summary of the results. No Deezer subscription is required, and the experience is deliberately simple — a consumer feature priced at zero rather than an enterprise compliance product.
Finding Synthetic Tracks
Compatibility reaches well past the two biggest names: alongside Spotify and Apple Music, the detector handles SoundCloud, YouTube Music, and 15 other services. That breadth matters because the synthetic-music problem is not confined to one app. Deezer built the tool on detection technology it has already run in production for over a year, tagging AI content inside its own recommendation and editorial systems.
A Deluge of Fake Music
The context behind the launch is stark. Deezer says its platform is flooded with nearly 75,000 AI-generated tracks a day, over two million per month. Listening to that music is rare, but abuse is not: roughly 85 percent of AI-music streams are flagged as fraudulent and demonetized — evidence that much of the synthetic wave is engineered around streaming payouts rather than genuine listening.
The Tagging Race
Apple Music and Spotify have moved toward transparency tags to distinguish AI music, while Deezer has bet on active removal: no recommendations, no editorial placements. CEO Alexis Lanternier argues Deezer has led on this for a year and a half, and that making the tool public is a way to push the whole industry toward detection rather than labels.
What It Means
For listeners, the tool converts a vague worry into something checkable. For the industry, it reframes AI music as a platform-level abuse problem with measurable scale. The open question is whether other services borrow Deezer’s approach — or keep waiting for someone else to solve it.