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Deezer's Free Tool Detects AI Music Across Spotify, Apple Music and More

TechCrunch · Thursday, June 11, 2026 · Category: Tools
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Deezer's Free Tool Detects AI Music Across Spotify, Apple Music and More

Deezer has rolled out a free online tool that scans playlists from 20 major streaming platforms to flag AI-generated tracks, stepping up its fight against synthetic music at a time when competitors have largely stayed on the sidelines. Announced Thursday, the AI music detector supports 27 languages and works with services including Spotify, Apple Music, SoundCloud, and YouTube Music. To use it, listeners head to Deezer's website, select their streaming service, grant playlist access, and receive a report identifying any AI-generated songs, with an option to share the findings. The launch reinforces Deezer's reputation as the music industry's most aggressive opponent of AI music. While rivals like Spotify and Apple Music have taken a softer tagging approach, Deezer already strips AI tracks from its algorithmic recommendations and editorial playlists, and recently began licensing its detection technology to other platforms. CEO Alexis Lanternier framed the new public tool as an act of transparency leadership, saying, "By detecting and tagging AI-generated music over the past year and a half, Deezer has been at the forefront of transparency in music streaming. No other company has followed our lead yet, so we decided to make it possible for everyone to check if their playlists include synthetic music, no matter which streaming platform they use." The tool arrives as Deezer disclosed that a staggering 44% of all new music uploaded to its platform is now AI-generated, with the company absorbing roughly 75,000 synthetic tracks every day. The streamer hinted it is weighing next steps, including tightening supplier policies or removing offending content, a path Bandcamp already took when it banned AI music earlier in 2026. The announcement reflects broader industry anxiety over both the unauthorized use of copyrighted material to train AI models and the risk of streaming fraud, pressure that has yet to push most major platforms toward comparable enforcement.

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