Deezer has unveiled a new AI music detection tool that allows users to identify AI-generated songs across major music streaming platforms, including Spotify, Apple Music, YouTube Music, SoundCloud, and many others. The move expands Deezer’s efforts to improve transparency in the rapidly growing world of AI-generated music.

The free tool works by connecting to a user’s streaming account and analyzing playlists for tracks that appear to have been generated using artificial intelligence. According to Deezer, the detector supports around 20 different streaming services, making it one of the most widely accessible AI music identification tools currently available.
Deezer has been at the forefront of AI music detection. The company introduced its proprietary detection technology in early 2025 and later became the first major music streaming platform to clearly label AI-generated music for listeners. It has also started licensing the technology to industry partners and rights organizations.
The launch comes as AI-generated music continues to flood streaming services. Deezer recently reported that it receives nearly 75,000 fully AI-generated tracks every day, accounting for approximately 44% of all new music uploaded to the platform. More than 13 million AI-created tracks have already been detected and tagged by the company’s systems.
Deezer says the new tool is designed to give listeners greater visibility into the content they consume while helping artists, labels, and rights holders navigate the challenges posed by generative AI. Users can also share the results of their playlist scans, potentially sparking broader conversations about the growing presence of AI-generated music across streaming platforms.
As AI-generated songs become increasingly difficult to distinguish from human-created music, tools like Deezer’s detector could play a key role in maintaining transparency and trust throughout the music industry. Recent surveys cited by the company suggest that most listeners struggle to tell the difference between AI-generated and human-made tracks, highlighting the importance of clear labeling and detection technologies.