As artificial intelligence tools like Suno and Udio make it possible for anyone to generate a complete song with just a few text prompts, distinguishing human-made music from synthetic creations has become a growing challenge for listeners, streaming services, and the music industry. While some people don’t care whether a track is made by a person or a machine, others want to know—and a combination of detective work, platform labels, detection software, and lyrical tells can offer answers.
Background Checks Lead the Way
The clearest indicators often come from outside the music itself. Manuel Mousallam, head of research and development at Deezer, told the Associated Press that the “most obvious cues” come from “external factors.”
If an artist has no social media presence, no concert history, and no record label, that can be a red flag. “Does the band or artist have social media accounts?” Mousallam said. “Is there any sign that the artist or band exists in real life?” Checking whether an artist has upcoming concerts, ticket sales, or past performance videos on YouTube can also help. Song creators sometimes publish their generated tunes on the Suno or Udio platforms, but finding a specific track there requires an account and often the song’s name or creator’s handle.
Streaming Services Step Up Labeling
Deezer has started flagging albums that contain AI-generated songs as part of a broader push for transparency and to combat streaming fraud. The service now displays an “AI-generated content” label on the app and website when at least some tracks on an album were created with song generators. The company says its in-house technology detects subtle but recognizable patterns in all audio produced by AI song tools. Since the feature rolled out in June, Deezer says up to 18% of the songs uploaded to its platform each day are AI-generated.
AI Detection Tools Offer Mixed Results
Several third-party services promise to determine whether a song is human-made or AI-generated. When the Associated Press tested the online detector from IRCAM Amplify, a subsidiary of the French music and sound research institute IRCAM, it returned AI probability scores between 81.8% and 98% for AI-generated tracks and correctly identified them as being made with Suno. Older, human-made MP3s received very low AI scores. However, the detector itself warns that it can make mistakes, and other websites that allow link-based checks produced either inconclusive results or wrongly flagged human songs as AI and vice versa.
Lyric Clues: ‘Neon’ and ‘Shadows’
AI-generated lyrics can offer hints of synthetic origin because they often rely on bad rhyming schemes or repetitive structures. Users who write their own words typically avoid these pitfalls, but casual creators who let the machine generate both music and lyrics may end up with telltale vocabulary. Lukas Rams, a Philadelphia-area resident who has used Suno to create three albums for his AI band Sleeping with Wolves but writes his own lyrics, said that words like “neon,” “shadows,” or “whispers” frequently appear. “I don’t know why, it loves to put neon in everything,” he told the Associated Press.
The Limits of Detection
No method is foolproof, and as technology advances, audio clues that once gave away AI music are vanishing. “In general, it can be difficult to tell if a track is AI-generated just from listening, and it’s only becoming more challenging as the technology gets increasingly advanced,” Mousallam said. “Old identifiers—such as vocals having a distinctive reverb—are not necessarily valid anymore.” For now, combining background checks, platform labels, detection tools, and lyric analysis offers the best chance of determining whether a song came from a person or a prompt.