Detect ElevenLabs AI voices.
Suspect a clip was made with ElevenLabs? Run it through the free detector to check whether the voice is AI-generated. ElevenLabs in short: warm, expressive, near-broadcast quality; clones a target voice from seconds of audio.
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.
How to tell an ElevenLabs voice
The human ear is unreliable on current ElevenLabs audio. These are the kinds of artifacts a detector is trained to pick up.
- 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.
What the detector tells you
The detector reads the audio, not the speaker. Cloned or stock voice, clean or compressed, it looks for the signs of synthesis.
Drop the clip
Upload an MP3, WAV, M4A, OGG, FLAC or AAC file. Three seconds or more of clear speech gives the most reliable result.
The model scores it
The model scores the clip. On longer recordings it scores each segment separately, so you can see which part sounds synthetic.
Read the verdict
You get a verdict on a four-step scale, from Human to AI Generated, plus an AI probability score. It tells you whether the voice is AI-generated, not which tool made it.
What is the ElevenLabs AI Speech Classifier, and when is it enough?
ElevenLabs offers its own free checker, the AI Speech Classifier. Its documentation describes it as a tool that detects whether an audio file was generated by ElevenLabs, and reports 99% precision and 80% recall on ElevenLabs audio that has not been modified (ElevenLabs documentation). Those are the vendor's own figures, for its own output.
That scope is the point to understand. The classifier answers one question: did ElevenLabs make this? It does not tell you whether another tool did. A suspicious voicemail could come from any of dozens of services or an open-source model, and the 80% recall figure means one in five unmodified ElevenLabs clips can be missed even before compression or re-recording.
| ElevenLabs AI Speech Classifier | AI Voice Detector | |
|---|---|---|
| Question it answers | Was this generated by ElevenLabs? | Is this speech AI-generated? |
| Generators covered | ElevenLabs only | Not limited to one vendor |
| Result | A likelihood the clip came from ElevenLabs | A four-step verdict, an AI probability score and per-segment scores |
| Names the source tool | Only in the sense that a match means ElevenLabs | No |
| Cost to check one clip | Free | Free, up to 10 MB and 60 seconds, no account |
Use both when ElevenLabs is the specific suspect. When you do not know which tool made a voice, which is the usual case with a scam call or a viral clip, start with a vendor-neutral check on the free AI voice detector. For how clones are made in the first place, see what voice cloning is.
What to do next
A verdict is evidence, not proof. Sign in to keep the result in your detection history and share it with a link. If you are a journalist or investigator, use it 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, and a Chrome extension for checking audio in any tab is in development.