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How to tell if a song is AI-generated

Updated 5 October 2026, 9 min read, by the Lyro Music team

Usually you cannot tell by listening, so check the evidence instead. In a Deezer and Ipsos blind test, 97% of 9,000 people could not tell two fully AI-generated tracks from a human-made one (Deezer and Ipsos). Look for a platform label: Deezer tags albums with fully AI-generated tracks, Spotify shows AI credits and AI Persona badges, YouTube and TikTok label AI content. Then check the credits, the artist and the file, and try a detector. Each is a clue, not proof.

Quick checks you can do yourself

Start with what the platform shows you and finish with the tools. The first two checks take seconds in the app; the last two need the file, a link or a playlist.

  1. Look for a platform label. Deezer marks albums that contain fully AI-generated tracks, Spotify badges artists whose identity is AI-generated, and YouTube and TikTok label AI content. Where each label appears is in the platform section below.
  2. Read the credits. In Spotify’s mobile app, AI credits show which part of a track, such as lyrics, vocals or production, was generated (Spotify for Artists support). Named writers and producers you can find elsewhere are a good sign.
  3. Check the artist. What reliable sources report, release history, concerts, photos and social accounts tell you more than the sound does. They are hints, not proof.
  4. Inspect the file. If you have the audio file, its metadata or Content Credentials may say how it was made.
  5. Run a detector. Deezer’s free detector scans your playlists, and SubmitHub’s checker takes a link or a file. Read the result as one more clue.

A label is the strongest evidence you will find, but a missing label proves nothing. Spotify says it depends on artists to disclose, so the absence of an AI credit does not mean AI was not used (Spotify).

Is this song AI? How to check a specific track or artist

Most questions are about one song or one act. Start with what reliable sources report, then look at the artist profile yourself. Billboard works the same way when it decides whether a charting song is AI or AI-assisted: it checks the artist pages, some of which say the music is generated with the help of AI, cross-checks the songs with Deezer’s AI detection tool and contacts the creators (Billboard).

Songs and artists people asked about

Each answer is what the cited source says, nothing added from listening.

QuestionWhat the source saysWho is creditedSource
Is Breaking Rust a real band?An AI-powered country act. No band members are named in the sources we readSongwriter Aubierre Rivaldo Taylor, who had not answered BillboardBillboard; Billboard
Is Cain Walker AI?An AI-assisted country artistDallas LittleBillboard
Is Solomon Ray AI?An AI-powered artist that debuted on Billboard’s Hot Gospel Songs chartChristopher Jermaine Townsend, who also releases music as TopherBillboard
Is Xania Monet AI?An artist with an animated avatar. The songs are made with Suno, with help from some other peopleSongwriter Telisha “Nikki” Jones, who writes the lyricsBillboard
Is The Velvet Sundown AI?Yes, by its own account: a synthetic music project made with the support of AI. Its images were AI-generated tooNo creator named in the sourceBerklee

Chart positions and more cases are in AI songs on the charts. For a name that is on no list, use the hints below.

Hints on the artist profile

None of these is proof on its own, and each also fits real artists, from newcomers to producers who release a lot.

  • A sudden, large catalogue. The Velvet Sundown released three albums within a few months. On 3 Jul 2025 it confirmed it was a synthetic music project, and by 22 Jul 2025 it had over 1.4 million monthly listeners on Spotify (Berklee). Spotify’s spam filter also watches for mass uploads (Spotify).
  • No life outside the platform. Spotify’s verification looks for concert dates, merchandise and linked social accounts (Spotify). Reddit users began to doubt The Velvet Sundown when they found its songs in their recommendations but little about the band online (Berklee). Merchandise alone proves little: Cain Walker’s website sells T-shirts (Billboard).
  • Photos of a person who may not exist. Spotify’s AI Persona badge covers profiles whose images, artwork included, appear to show a photorealistic AI-generated person (Spotify for Artists support).
  • No credits, or credits that lead nowhere. Named writers and producers make a human-made song more likely, not certain: four of the five acts in the table credit a real person.
  • What the artist says. Some artist pages say outright that the music is generated with the help of AI (Billboard). On Spotify, AI credits and a self-disclosed AI Persona badge are the artist’s own word.

In Spotify’s mobile app, the About section of an artist profile also shows artist details from Spotify’s own data: career milestones, release activity and touring activity (Spotify).

What you can hear, and why your ears are not enough

Most people cannot hear it. Deezer and Ipsos asked 9,000 adults in eight countries to listen to three tracks, two fully AI-generated and one human-made, and say which were AI: 97% could not tell, and 52% said not being able to tell made them uncomfortable (Deezer and Ipsos). Deezer says the traces its own detector looks for are usually inaudible to humans (Deezer). More figures are in AI music statistics.

If you still want to listen closely, these are the things people point to:

  • Words that blur into sounds that are not quite words, mostly in fast lines and backing vocals.
  • Lyrics made of stock phrases that never say anything specific.
  • A voice that never seems to breathe, or breathes in odd places.
  • A fizzy or metallic shimmer on cymbals and high notes.
  • A song that wanders: a second chorus that differs from the first, or an ending that stops or fades oddly.

Every one of these also turns up in human-made music, through heavy pitch correction, compressed files or lo-fi production. Treat what you hear as a reason to run the other checks, never as proof.

How Deezer, Spotify and other platforms flag AI music

What each service shows listeners, read on its own pages on 5 Oct 2026. The rules behind these labels, and what they mean for uploads, are in our tracker of AI music rules on Spotify, Apple Music, Deezer, YouTube and TikTok.

PlatformWhat you seeWho sets itLimitsSource
DeezerA notice on the album page that some tracks may be AI-generated. Tagged tracks are kept out of algorithmic recommendations and editorial playlistsDeezer’s own detector. Nobody has to declare anything. Tagging started in June 2025Made for fully AI-generated music. The tag is set per album, not per track, and listeners cannot switch it offDeezer Support; Deezer
SpotifyAn “AI Persona” or “Likely AI Persona” badge next to the artist’s name on the profile, in search on mobile and in track rows in playlists. AI credits for lyrics, vocals or production in the song credits and the Now Playing view, on mobile onlyThe artist, who can self-disclose. Spotify’s reviewers, for profiles whose name and images appear to show a photorealistic AI-generated person. AI credits come through the distributorThe badge is about the artist’s identity, not how the music was made, and is still rolling out. AI credits are optional and in betaSpotify; Spotify for Artists support; Spotify for Artists support
YouTube“Made with AI” under “How this content was made” in the expanded description; for photorealistic content, sometimes also a label on the playerCreators, who must disclose AI-generated music that is the main focus of a video. YouTube also labels content made with its own AI tools, content with C2PA Content Credentials and content its systems detectDepends mostly on disclosure. In most cases creators can correct an automatic labelYouTube Help; YouTube Help
TikTok“Creator labeled as AI-generated”, or “AI-generated” when TikTok adds the label itselfCreators, who must label realistic AI-generated images, audio and video. TikTok, for content made with its AI effects or carrying Content CredentialsA creator label depends on honesty. An automatic label cannot be removedTikTok Support
Apple MusicNo listener label confirmed on an Apple page as of 5 Oct 2026Record labels and distributors, through optional AI transparency fields for Track, Composition, Artwork and Music Video in Apple’s delivery specificationApple told partners these will show as “Made With AI” labels later in 2026, according to a distributor’s report, without a dateApple; RouteNote

Spotify adds two more signals. A “Verified by Spotify” badge, a light green check, means Spotify reviewed the profile and found signs of a real artist, and profiles that appear to mainly represent AI-generated artists were not eligible at launch (Spotify). Tapping an AI Persona badge shows whether the artist disclosed it or Spotify decided (Spotify). The badge is explained in full in Spotify’s AI Persona badge, explained.

What AI song detectors and checkers can and cannot tell you

Detectors look for traces that generators leave in the audio. Deezer says these traces are usually inaudible to people and differ from one model to the next, so its tool can also tell which model made a track (Deezer). Three tools describe themselves on their own pages:

ToolWhat it doesWho can use itAccuracy, as its maker states itSource
Deezer AI Music DetectorConnects to your streaming service and flags AI-generated tracks in up to 100 of your playlistsAnyone, free, with no Deezer subscription. Launched on 11 Jun 202699.8%: may miss 2 in 1,000 AI-generated tracks and wrongly flag fewer than 1 in 10,000 human-made songsDeezer; Deezer
SubmitHub AI Song CheckerTakes a Spotify, YouTube, SoundCloud or Disco link, or an MP3, WAV or FLAC file of at least 30 seconds, and answers human, hybrid or AIAnyone; guests get 2 free checks an hourNo figure given. SubmitHub says no detector is perfectSubmitHub
Ircam Amplify AI Music DetectorScans catalogues through an APIStreaming services, distributors, labels, collecting societies and publishers, on request99%, with under 1% false positivesIrcam Amplify

What they cannot tell you: we have not tested these tools and do not rank them. Deezer’s figures are for fully AI-generated music. SubmitHub warns that mastering, re-recorded vocals or a blend of AI and human performance can fool its models, and that detectors need retraining as generators improve (SubmitHub). So a partly generated song is the hardest case, any tool can be wrong about a single song, and a result is one more clue, not a verdict. Billboard does not rely on one tool either, as the section above shows.

Metadata, Content Credentials and watermarks

If you have the file itself, it can carry evidence the platform does not show.

Metadata and Content Credentials

Audio files carry tags beside the sound, such as title and artist, and a tag editor shows them. Some services write an AI declaration into these tags. Content Credentials, the C2PA standard, go further: signed information about where a file came from. The Content Authenticity Initiative’s free Verify page reads them from MP3, WAV and M4A files, among other formats, but warns that Content Credentials are still rolling out, so a file may have nothing to show (Content Authenticity Initiative). TikTok and YouTube already use them to label uploads (TikTok Support; YouTube Help). Tags can be removed with ordinary software, so a file without them proves nothing.

Inaudible watermarks

Some AI music providers also hide a watermark in the sound itself. The European Commission’s Code of Practice on AI-generated content defines it as a marker embedded in the audio samples, imperceptible to people and recoverable after the content is altered, and asks providers to test it against changes such as recompression, a new file format or pitch shifting. Providers that sign the code commit to at least two layers of marking, signed metadata plus a watermark, and to a detector that is free of charge (European Commission). The catch for listeners: a watermark is read by a detector built for that marking technique, and in general different watermarks need different detectors (European Commission).

How Lyro marks its own songs

Lyro marks its downloads as AI-generated. Every download of generated audio carries an ID3 tag, a machine-readable field inside the file, that declares it AI-generated. Tracks made on Lyro High and Lyro Extra also carry an inaudible watermark added by the model provider. Our acceptable use policy does not allow removing either mark. The same answer is in our FAQ.

What the law says in the EU

Since 2 Aug 2026, Article 50 of the EU AI Act requires providers of AI systems that generate audio to mark the output in a machine-readable format, so that it is detectable as AI-generated (EU AI Act). Systems already on the market before that date have until 2 Dec 2026 for this marking duty, content made before 2 Aug 2026 does not have to be labelled after the fact, and providers outside the EU are covered when their output is used in the EU (European Commission).

A visible label is a separate duty. A professional user who publishes a deepfake, content that resembles real people, places or events and would falsely appear authentic, must disclose it in a way people can see or hear, and cannot rely on the hidden mark alone. For evidently artistic, creative, satirical or fictional work, the disclosure only has to be appropriate and must not spoil the work. Purely personal, non-professional use is outside the Act. National authorities enforce these rules, with fines of up to 15 million euros or 3% of worldwide turnover (European Commission). Publishers who sign the Commission’s Code of Practice commit to showing the disclosure with an “AI” icon or an equivalent label or, for an audio-only deepfake, a short spoken disclaimer at the start (European Commission).

For listeners, this means more AI audio will carry a hidden mark from now on, although reading it takes the right detector. Whether a particular AI song also needs a visible label depends on whether it counts as a deepfake, which the Commission’s guidelines judge by how closely it resembles real people or events, its message, its context and what its audience expects (European Commission). Official charts have their own rules, covered in AI songs on the charts, and copyright is a separate question, covered in AI music copyright by country. This is a summary, not legal advice.

Questions

Is this song AI? How do I know if music is AI-generated?

Check the platform first: a Deezer album notice, a Spotify AI Persona badge or AI credit, or a YouTube or TikTok AI label is the strongest evidence you will find. For a well-known act, look for what a reliable source reports, as in our table of acts above. Otherwise look at the artist’s releases, concerts and social accounts, and run Deezer’s free playlist detector or SubmitHub’s checker. Do not rely on your ears: 97% of people in a Deezer and Ipsos blind test could not tell (Deezer and Ipsos).

Is Breaking Rust a real band?

Billboard describes Breaking Rust as an AI-powered country act. Its songs are credited to songwriter Aubierre Rivaldo Taylor, who had not answered Billboard’s questions, and no band members are named in the sources we read (Billboard; Billboard). Its “Walk My Walk” spent a second week at No. 1 on Billboard’s Country Digital Song Sales chart dated 15 Nov 2025 (Billboard).

Is Xania Monet AI?

Xania Monet is an artist with an animated avatar created by Mississippi-based songwriter Telisha “Nikki” Jones. Jones writes the lyrics and has used Suno, with help from some other people, to make the songs, and Xania Monet was the first AI-powered artist to debut on a Billboard airplay chart (Billboard).

Is there an AI song detector that works?

Several work some of the time, and none is perfect. Deezer’s free AI Music Detector scans your playlists, and Deezer puts its accuracy at 99.8% for fully AI-generated music (Deezer). SubmitHub’s AI Song Checker takes a link or a file, answers human, hybrid or AI, and says itself that no detector is perfect (SubmitHub). We have not tested either.

Can you tell if a song was made with Suno?

Not by ear with any confidence. Deezer says its detector recognises fully AI-generated music from the most prolific generators, such as Suno and Udio, and can tell which model made a track, because each model leaves its own traces (Deezer). Credits and reporting can say it too: Billboard reports that Xania Monet’s songs are made with Suno (Billboard). We have not tested any detector on Suno songs.

What if my song is wrongly flagged as AI?

It depends on where. On Spotify, an artist can appeal a “Likely AI Persona” badge in Spotify for Artists; if nothing is done the badge stays, and Spotify makes the final decision (Spotify for Artists support). On YouTube, creators can change an automatic AI label in most cases, but not on content with C2PA metadata, content made with YouTube’s AI tools or content labelled after a manual review (YouTube Help). The Deezer pages we read describe its tag, set per album to reduce errors, but no appeal route (Deezer). Start with your distributor, which delivered the music.

Does AI music have to be labelled by law?

In the EU, in part. Since 2 Aug 2026 providers must mark AI-generated audio in a machine-readable way, with time until 2 Dec 2026 for systems already on the market, and professional users must visibly disclose deepfakes (European Commission). Platforms add their own rules: YouTube requires creators to disclose AI-generated music that is the main focus of a video (YouTube Help), and TikTok requires a label on realistic AI-generated audio (TikTok Support).

Sources

Hear it for yourself.