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Detect Cartesia AI voices.

Updated July 2026

Suspect a clip was made with Cartesia? Drop it in and get a citable verdict with the model named, in under half a second. Fast, low-latency neural TTS (Sonic) built for real-time voice apps and agents.

Check a clip free All generators

Synthetic detectedCartesia

Confidence

high

Model

Cartesia

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

What it is

Cartesia, and why it shows up in suspicious audio

Cartesia's Sonic is a low-latency neural text-to-speech model built for real-time voice applications and agents. Its speed makes it attractive for live voice bots and, potentially, real-time impersonation.

Real-time generation trades a little fidelity for speed, and that trade leaves its own artifacts a detector can key on.

Where you tend to see it: Real-time voice bots and agents, app voices, and impersonation.

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

The tells

How to tell a Cartesia voice

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

01Timing and micro-latency patterns unlike a naturally recorded human.
02Spectral artifacts introduced by streaming synthesis.
03Prosodic regularity across a passage.
04Consistency a live human voice, affected by room and movement, would not maintain.

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

How the detector identifies Cartesia

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. Cartesia, 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 · Cartesia

Common questions

Can you detect a Cartesia (Sonic) voice?

Yes. The detector reads the synthesis signature, including artifacts from low-latency streaming synthesis.

Does real-time generation change detection?

It can add its own artifacts, which the detector accounts for. Short or degraded audio still lowers confidence.

Is a single check free?

Yes, a single verdict is free with no card.

Can I check it inside a video?

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

Will it name Cartesia specifically?

When recognizable, yes; otherwise it returns 'unknown synthesis'.

Is this a Cartesia voice? Find out.

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

Open detector Use the API