How to Tell If a Song Is AI

Not reliably. Your ears can raise a suspicion, but the AI songs that reached big audiences sounded like ordinary rock, country, soul or gospel. The Velvet Sundown had over 900,000 monthly Spotify listeners by the time its bio admitted the music was made with AI. Better evidence sits around the song: what the artist and the platforms say, and what an audio check finds.

So when you want to know how to tell if a song is AI, treat listening as the start of the check, not the end. Combine several clues from the table, and give the most weight to the ones at the top.

The first step in how to tell if a song is AI is the artist's profile, not the sound. On Spotify, look for an AI Persona badge and open the song credits for AI credits. On Deezer, look for the AI tag on the album. If the artist's own bio says the music is made with AI, that settles the question, whatever the song sounds like.

• AI Persona badge. Spotify began showing it in mid-September 2026. Tap it to see whether the artist disclosed it (AI Persona) or Spotify decided after a review (Likely AI Persona). Spotify says the badge describes the artist's identity, not how the music was made.
• Verified by Spotify. The opposite signal: Spotify gives it to artists with a real, identifiable person behind the music.
• AI credits. Since April 2026, artists can list which roles and instruments were made with AI. Disclosure is voluntary, so an empty credit proves nothing.
• Deezer's AI tag. Since June 2025, Deezer tags albums that include fully AI-generated tracks.
• The bio. The Velvet Sundown's Spotify bio calls the band a synthetic music project made with the support of AI. Read the full story.

Human artists leave traces: concerts, interviews, credits on other people's records, photos from real places, a history before the first release. Many reported AI acts have little or none of that. Breaking Rust topped a Billboard download chart in November 2025, yet when Billboard asked the songwriter credited on its hit for comment, it heard nothing back.

Check the release pattern too. The Velvet Sundown put out three albums between June 5 and July 14, 2025. A sound-alike of a known band under a new name is another warning sign: Rolling Stone Australia reported that Bleeding Verse, whose Spotify bio says it turns human lyrics into songs with AI, overtook the Welsh band Holding Absence that it cites as an influence.

But a thin footprint isn't proof on its own. Plenty of human artists are new, anonymous or use an avatar.

There is no reliable listening test. People often point to lyrics built from stock phrases, a hazy or metallic shimmer in the cymbals and high end, and vocals that slur consonants or never seem to breathe. These are worth noticing, but heavy mixing, low-bitrate streams and newer generators can produce or remove each of them.

Listen on headphones to the whole song rather than a clip, and compare it with the artist's other songs. Treat anything you notice as a reason to check further, not as an answer.

Heavy Auto-Tune, vocoders, electronic production and a polished country or gospel sound are not signs of AI by themselves. In the checker's published 65-song test, Cher's Believe, T-Pain's Buy U a Drank and Daft Punk's One More Time all scored below 0.001 on the audio check, the far human end of the scale. So did human country, soul and gospel songs chosen to sound like the AI ones.

Being new, being anonymous or having a sudden hit isn't proof either. Treat those as reasons to look closer, not as answers.

Run the song through an audio check that looks for the fingerprint AI music generators leave in the sound. The free AI song checker on this site does this in your browser: paste a Spotify, Apple Music, YouTube or Deezer song link, type the title and artist, or upload a file. In its published test of 65 songs it caught 23 of 25 AI songs and flagged none of the 40 human songs.

It works because generators such as Suno and Udio build the sound with a neural decoder that leaves evenly spaced peaks between 1 and 8 kHz, a trace Deezer's researchers described in 2025 (Afchar et al.). You can't hear it, but a small model can measure it and score it from 0 to 1:

• 0.8 or above: Likely AI-generated.
• 0.2 or below: Likely human-made, meaning no known AI fingerprint was found.
• In between: Can't tell.

If Deezer has tagged the album as AI, the checker says so and counts it. For links it analyses the official 30-second preview; your own files are analysed in full, up to 5 minutes, and never leave your device.

Know its blind spots. It covers Suno up to version 5 and Udio up to version 1.5. Suno released v6 on September 9, 2026, and the checker hasn't been tested on it yet. Songs that are only partly AI, such as an AI voice over human production, usually come back Likely human-made; TaTa's Pulse did in the test. The accuracy report lists every test song and score.

Weigh the clues together. An artist who says the music is AI, an AI Persona badge or a Deezer tag settles most cases, and a high audio score backs them up. If all you have is a hunch or a single score, say that, rather than calling the song AI, because a wrong accusation can stick to a real artist.

The list of AI artists shows which acts have been identified so far and how their songs scored. If you make music and worry about being flagged, read the guide for artists.

Open the artist's profile: look for an AI Persona badge on Spotify, read the bio and the song credits, and check Deezer for an AI tag. Then run the song through the checker above.

Partly. The AI Persona badge says the artist's identity is AI-generated, and AI credits show what the artist chose to disclose. Spotify says the badge is about identity, not about how the music was made.

No. Auto-Tune is a vocal effect that human artists have used for decades. In the published test, heavily tuned songs by Cher and T-Pain scored at the far human end.

Yes. The checker on this site missed 2 of 25 AI songs in testing, can miss new generators and part-AI songs, and a small test can't rule out rare false alarms. Use it as one clue among several.