Sonicert/How to tell if music is AI-generated
Guide · Updated September 2026
How to tell if music is AI-generated
Most AI songs give themselves away in the first minute: vocals that never breathe wrong, glassy over-smooth production, lyrics that rhyme but never quite say anything, and an arrangement that snaps to a template. Below are the eight signs, ranked by reliability, each with a way to verify it — then confirm with a detector, because ears alone can't settle borderline cases.
The 8 signs a song is AI-generated
Ordered roughly by reliability on the current generation of generators (Suno, Udio and cousins). One sign is a hint; two or more together is a pattern worth confirming.
- 1
The vocals never breathe wrong
AI vocals hold pitch and timing with inhuman consistency. Real singers rush, drag, crack on long notes, and breathe in a different spot every take — generated voices don't. Check it: skip to the longest held note and the last line of the chorus. If the delivery there is as clean as the first, be suspicious.
- 2
Glassy, over-smooth sound
Generated tracks lack the tiny imperfections of a real recording: no room tone, no string squeaks, no fingers on frets, no fidget noise — the mix sounds rendered, not recorded. Check it: listen on headphones to the quietest 30 seconds, usually the intro. Total silence between notes is a machine's silence.
- 3
Lyrics that almost mean something
AI lyrics optimize for pattern, not meaning: invented words, forced rhymes, imagery that resets every line, details that never build into a story. Check it: read the lyrics as a poem, away from the music. Lines that felt fine sung often collapse on paper.
- 4
Formulaic arrangement
Sections snap to a template — intro, verse, chorus at exactly the expected bars — with transitions clean to a fault and every chorus a near-identical copy. Human bands push and pull the groove; generated ones can't wait to get to the next section. Check it: tap along and see if you can predict the drop before it comes.
- 5
Instrument details that fall apart
Close listening exposes hands that don't quite line up: guitar fretwork that's physically implausible, drum ghost notes in impossible places, solos with no phrasing or breath. Check it: isolate the fill before the last chorus and slow it down mentally — real players resolve their lines, fabrications blur them.
- 6
No humans in the credits
Full-AI releases tend to have missing, generic, or tool-named writing and production credits, thin release metadata, or whole catalogs that appeared at once. Check it: open the artist page. A month-old profile with forty same-sounding tracks and no session musicians named is a context tell, not proof — but it raises the odds.
- 7
Loudness with no dynamics
AI masters often sit at one loudness from first second to last: verses as loud as choruses, no natural build or fall, nothing you'd reach for the volume knob over. Check it: listen at low volume. Human mixes still breathe when quiet; flattened ones stay a single level.
- 8
The release context feels synthetic
An artist with dozens of tracks in weeks, covers that look AI-made, no live or social history, several 'different' artists sharing one signature sound — the packaging around the song can give it away before the audio does. Check it: search the artist name plus the word live. Real acts leave traces.
How to check a song on Spotify, YouTube or any platform
YouTube and share links. If the song has a YouTube video or a share link from a generator like Suno, you can paste the link straight into the AI music detector — no download needed.
Spotify and streaming. Streaming apps don't give third-party tools direct access to the audio, so check one of two ways: play the song and record a clean 30–60 second clip, or find the same track on YouTube and paste that link. A recorded clip loses some fidelity but is usually enough for a confident verdict.
Don't trust the tag. “AI” tags you see on playlists and profiles are mostly crowd-submitted and unverified. Some platforms label officially — Deezer tags AI uploads and says it detects tens of thousands per day — but most streams carry no reliable label at all. The audio itself is the only evidence that travels.
What AI music detectors actually check
Detectors listen for the machine traces your ears approximate: statistical over-smoothing in the frequency spectrum (the “glassiness” above), micro-timing that never drifts where human performances do, phoneme-level artifacts in synthesized voices, and long-range patterns that repeat too cleanly across a full track.
Honest caveat: no detector publishes a truthful single accuracy number, because results vary by generator version, genre and audio quality. Ours reports a score with an explicit confidence level and shows reduced confidence instead of hiding weak evidence — the detection methodology documents what it checks and where it fails.
Why AI songs are getting harder to spot
Every generator release closes the gap: the tells above are strongest on current major-generator output and weakest on the newest models. This is a moving target, and a checklist written a year ago is already stale — the newest tell is usually “no tell at all.”
The scale explains why it matters. Deezer reports over 75,000 AI-generated tracks uploaded to its platform every day — about 44% of all uploads, by its own count — and 97% of listeners in a Deezer-commissioned survey couldn't reliably pick AI songs out of a lineup. We test each new generator version as it ships and publish what we find, including the misses — the Suno AI detector page tracks the newest model's honest status.
Heard two or more? Confirm with the detector
The ear narrows it down; the detector settles it. Paste a link or upload the file and you get an AI-likelihood score, a confidence level, and the specific signals behind the call — free, no account:
- Grab the track: original file, YouTube link, or Suno share link.
- Run it through the checker on the home page — takes seconds.
- Weigh the score together with your ear-checks from this page.
Open the AI music detector · Prefer the plain question form? The is-this-song-AI checker is the same engine, one question.
Frequently asked questions
Can you always tell if music is AI-generated by ear?
No. The eight signs catch most AI songs from current generators, but each new model release sounds more human, and clean, short clips give your ears the least to work with. Use the signs to form a suspicion, then confirm borderline cases with a detector instead of trusting either one alone.
How to tell if a song is AI on Spotify?
Spotify streams are compressed and you can't feed them to a checker, so judge by ear first: the eight signs below all still apply on a Spotify listen. If a track looks suspicious, search the artist on Suno or Udio — many AI tracks exist on both — and check whether the production details survive a close listen on good speakers. 'AI' tags on Spotify are crowd-submitted, not verified; Deezer is the exception, labeling AI uploads officially.
How to tell if music is AI generated on YouTube?
Same signs, worse audio. YouTube's compression muddies the fine detail the signs depend on, so lean on the structural tells — lyrics that don't mean much, vocals that never breathe wrong, arrangements that repeat too neatly. For a detector verdict, find the track outside YouTube (or record a clean clip) at the highest quality you can and run the full length, not a 15-second slice.
What about AI covers that clone a real singer's voice?
Voice-swapped covers are a harder, different signal problem than fully generated songs — the arrangement may be human even when the vocal isn't. Our detector reads the music production; for sung-vocal checks inside AI-generated music, the AI voice detector page covers what it can and can't tell you honestly.
Are AI song detectors accurate?
Strongest on full-length tracks from the major generators (Suno, Udio); weaker on very short clips, heavy mastering, vinyl rips and low-bitrate files. Both false-positive directions exist — hard-quantized EDM can score as AI while clean short AI clips come back uncertain. Treat a score as strong evidence, not proof.
Why is AI music getting harder to spot?
Generators improve every release and the artifacts that gave older versions away keep shrinking. That's why a fixed accuracy claim would be dishonest — the meaningful question is 'how does the detector do on the newest model?', which we answer with published test batches, unflattering results included, on the methodology page.
Do streaming platforms have to label AI songs?
Rules are still forming. Deezer detects and tags AI uploads and excludes them from recommendations; some services require disclosure at upload; most streams you'll hear today carry no reliable label. Until labeling is universal, the audio — checked by ear or detector — is the dependable route.
Your ears got a suspicion. Get the verdict in seconds.
Check a track nowChecking a voice, not a full song? AI voice detector · How the engine decides: detection methodology