Detect OpenAI TTS AI voices.
Suspect a clip was made with OpenAI TTS? Run it through the free detector to check whether the voice is AI-generated. OpenAI TTS in short: clean, studio-even narration with a calm, assistant-like cadence.
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.
How to tell an OpenAI TTS voice
The human ear is unreliable on current OpenAI TTS audio. These are the kinds of artifacts a detector is trained to pick up.
- 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.
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 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.