Deezer launches tool to detect AI music in streaming playlists

Deezer moved the fight over synthetic music out of its own app and into the wider streaming world, releasing a free online detector that scans playlists from Spotify, Apple Music and 18 other platforms for AI-generated tracks. The tool, launched June 11, was built in 27 languages and is designed to give listeners a fast way to check whether their libraries contain machine-made songs.

The release underscores how quickly the trust problem has moved from a niche technical issue to a mainstream streaming concern. Deezer said 43% of people who join from other streaming platforms already have AI music in their playlists, a finding that helps explain why the company chose to make its detector public. A Deezer and Ipsos survey of 9,000 people in eight countries found broad support for disclosure: 80% said AI music should be clearly labeled, and 73% wanted it tagged on streaming platforms.

Deezer said the detector is powered by its in-house AI detection system, which it says identifies AI-generated content with more than 99% accuracy. The company said it has already detected and tagged more than 13.4 million AI tracks, and that it now receives about 75,000 AI-generated tracks a day, more than 44% of all daily uploads. Deezer said flagged songs are removed from algorithmic recommendations and kept out of editorial playlists, a move the company says is meant to protect the royalty pool from being distorted by synthetic content.

The launch extends a policy Deezer has been building for more than a year. On June 20, 2025, Deezer said it had introduced the first AI tagging system for music streaming, with fully AI-generated albums clearly labeled. By January 29, 2026, the company said up to 85% of AI-music streams it detected were fraudulent and demonetized, while daily uploads had reached about 60,000 tracks, or roughly 39% of intake at the time.

Deezer chief executive Alexis Lanternier said the company decided to make the detector public because no other major streaming platform had followed its lead in tagging AI music. That gap has turned labeling into the next battleground in streaming, as listeners demand clearer signals, artists push for fair compensation and platforms face mounting pressure to show how they distinguish human creativity from automated output.