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Detect OpenAI TTS AI voices.

Updated July 2026

Suspect a clip was made with OpenAI TTS? Drop it in and get a citable verdict with the model named, in under half a second. Clean, studio-even narration with a calm, assistant-like cadence.

Check a clip freeAll generators
Synthetic detectedOpenAI TTS
Confidence
high
Model
OpenAI TTS
Yes, you can check. Drop the clip into the detector and it returns the probability that the speech was generated by OpenAI TTS, 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 OpenAI TTS voices alike, and gives you a citation URL to quote.
What it is

OpenAI TTS, and why it shows up in suspicious audio

OpenAI's text-to-speech voices are embedded across a huge range of apps, assistants, and content pipelines. They are clean and studio-consistent, which makes them a common choice for narration, automated calls, and fake voicemails.

Because the voices are so widely available through the API, OpenAI TTS turns up in everything from harmless explainer videos to scripted impersonation.

Where you tend to see it: Automated calls, narrated content, and voicemail or notification spoofing.

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

The tells

How to tell a OpenAI TTS voice

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

  • 01An even, studio-clean delivery with very little spontaneous variation in energy.
  • 02A characteristic assistant-like cadence that repeats across sentences.
  • 03Synthesis artifacts at phoneme boundaries and in fricatives that survive most re-encoding.
  • 04A noise floor that is unusually quiet and uniform compared with a real recording of the same nominal quality.
Spectral view · artifacts concentrate where synthesis smooths what a human voice would not
How the detector identifies OpenAI TTS

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. OpenAI TTS, 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 · OpenAI TTS

Common questions

Which OpenAI voices can you detect?
The tts-1 and tts-1-hd family and newer OpenAI voices. When we recognize the source we name it; otherwise we return 'unknown synthesis'.
Is a phone-quality clip enough?
Often, but phone and app compression lower confidence. We return the confidence level alongside the verdict so you can weigh it.
How do I detect an OpenAI-generated voice for free?
Drop the clip into the detector. A single verdict is free and shows the probability, confidence, and recognized model.
Does it matter which app produced the audio?
No. The detector reads the audio itself, so it does not matter whether the OpenAI voice came from ChatGPT, a third-party app, or the API directly.
Can it tell OpenAI apart from other TTS?
Often, yes. Attribution is a core feature; when the signature is ambiguous we say 'unknown synthesis' instead of picking a brand at random.
Detect another generator

We attribute 24+ voice models

ElevenLabsVoice cloning · TTS PlayHTTTS · voice cloning Resemble AIVoice cloning · real-time Murf AIStudio TTS SpeechifyRead-aloud TTS
See all generators → How to detect AI voices → Spotting AI voice scams →

Is this a OpenAI TTS voice? Find out.

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

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