Detect Coqui AI voices.

Updated July 2026

Suspect a clip was made with Coqui? Drop it in and get a citable verdict with the model named, in under half a second. Open-source text-to-speech with multilingual voice cloning (XTTS) from a short sample.

Check a clip free All generators

Synthetic detectedCoqui

Confidence

high

Model

Coqui

Yes, you can check. Drop the clip into the detector and it returns the probability that the speech was generated by Coqui, 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 Coqui voices alike, and gives you a citation URL to quote.

What it is

Coqui, and why it shows up in suspicious audio

Coqui is a widely used open-source text-to-speech project whose XTTS models can clone a voice in many languages from a few seconds of audio. Because it is free and self-hostable, it turns up in hobbyist projects, indie tools, and occasionally impersonation, with no platform gatekeeping.

Open-source also means there is no account trail to follow: anyone can run it locally, so the audio itself is the only evidence, which is exactly where a detector earns its place.

Where you tend to see it: Self-hosted projects, indie apps, and cloned-voice impersonation.

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

The tells

How to tell a Coqui voice

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

01Multilingual cloning artifacts that a model reads even when the language sounds native.
02Prosodic evenness across sentences a human speaker would vary.
03Timbre that stays fixed where a real voice would drift.
04Vocoder fingerprints in fricatives that survive re-encoding.

Spectral view · artifacts concentrate where synthesis smooths what a human voice would not

How the detector identifies Coqui

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. Coqui, 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 · Coqui

Common questions

Can you detect a Coqui XTTS cloned voice?

Yes. Cloning does not remove the underlying synthesis signature, though confidence still depends on audio quality and clip length.

Does self-hosting it evade detection?

No. The detector reads the audio, not the platform, so a locally run Coqui model is as detectable as a hosted one.

Is a single check free?

Yes, a single verdict is free with no card, showing the probability, confidence, and recognized source.

Can I check audio inside a video?

Yes. The detector reads the audio track, so video files work too.

Will it name Coqui specifically?

When the signature is recognizable we name it; otherwise we return 'unknown synthesis' rather than guess.

Is this a Coqui voice? Find out.

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

Open detector Use the API