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Detect ElevenLabs AI voices.

Updated July 2026

Suspect a clip was made with ElevenLabs? Drop it in and get a citable verdict with the model named, in under half a second. Warm, expressive, near-broadcast quality; clones a target voice from seconds of audio.

Check a clip freeAll generators
Synthetic detectedElevenLabs
Confidence
high
Model
ElevenLabs
Yes, you can check. Drop the clip into the detector and it returns the probability that the speech was generated by ElevenLabs, a confidence level, and the named model, in under half a second. It reads the audio's synthesis signature, so it works on cloned and stock ElevenLabs voices alike, and gives you a citation URL to quote.
What it is

ElevenLabs, and why it shows up in suspicious audio

ElevenLabs is the most widely used voice-cloning and text-to-speech platform on the open web. It produces some of the most natural prosody available and can reproduce a recognizable voice from a very short sample.

That combination is why ElevenLabs is the model most often behind the suspicious clips forwarded to newsrooms, banks, and fraud teams: a convincing impersonation is now minutes of work, not a studio session.

Where you tend to see it: Impersonation and voice-cloning fraud, fake voicemails, and manipulated interview or political audio.

ElevenLabs is a legitimate product; misuse is the problem, not the tool. You can read about it on the official ElevenLabs site.

The tells

How to tell a ElevenLabs voice

The human ear is unreliable on current ElevenLabs audio. These are the signals a detector weighs. We report which ones drove the verdict rather than handing you a bare number.

  • 01Prosody that is fluent but slightly too even. Human speakers drift in pace and pitch across a long passage; cloned ElevenLabs audio holds a steadier line.
  • 02Breath and pause placement that is regular rather than reactive to meaning.
  • 03Micro-consistency of timbre. The voice's texture stays almost identical across sentences that a real speaker would color differently.
  • 04Vocoder artifacts in sibilants (s, sh, f) and in the transitions between phonemes, audible to a model even when a person hears nothing wrong.
Spectral view · artifacts concentrate where synthesis smooths what a human voice would not
How the detector identifies ElevenLabs

A verdict you can cite, not a vibe

The detector reads the audio, not the speaker. Cloning or stock voice, clean or compressed, it looks for the synthesis signature and attributes the source.

Step 1

Drop the clip

Upload a file or paste a URL. MP3, WAV, M4A, WebM, or the audio track of a video. About half a second of clear speech is enough.

Step 2

The model scores it

The same model behind the public detector reads the acoustic signature and weighs the artifacts, then attributes the source, e.g. ElevenLabs, when it recognizes it.

Step 3

Get a citable verdict

You get a probability, a confidence level, the named model, and a permanent citation URL you can quote, file, or subpoena.

0.48s
Median verdict
99%
Accuracy on clean audio
24+
Generators covered
24h
Audio deleted after
If a clip turns out synthetic

What to do next

A verdict is evidence, not a verdict of intent. Save the result to get a permanent citation URL and a one-way audio fingerprint you can reference later without storing the file. If you are a journalist or investigator, cite the verdict alongside your own reporting; if this is a suspected scam, treat the contact as unverified and confirm through a channel you already trust. The FTC's advice on suspected scam calls is a sensible baseline.

Building this into a workflow? The API returns the same verdict as JSON with webhooks for bulk jobs, and the browser extension checks audio in place on WhatsApp Web, YouTube, and podcasts.

FAQ · ElevenLabs

Common questions

Can you tell an ElevenLabs voice from a real one?
On clean audio, yes, with high confidence. On short, phone-compressed, or re-recorded clips confidence drops, and we tell you that rather than guessing.
Does the detector work on ElevenLabs v3?
Newer models are harder for every detector, including ours. We retrain monthly and stamp the methodology version on each verdict so you always know what ran against the clip.
Is there a free way to check?
Yes. You can run a clip on the detector free, no card required, and see the probability, confidence, and recognized model.
Can you detect a cloned voice, not just stock voices?
Cloning does not remove the underlying synthesis signature the detector reads, so cloned and stock ElevenLabs audio are both in scope.
Will you name ElevenLabs specifically, or just say 'AI'?
When we recognize the source we name it, e.g. ElevenLabs. When we cannot attribute it confidently we return 'unknown synthesis' rather than guess a brand.
Detect another generator

We attribute 24+ voice models

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See all generators → How to detect AI voices → Spotting AI voice scams →

Is this a ElevenLabs voice? Find out.

Free verdict, model named, in under a second. No card to start.

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