Detect Tortoise AI voices.
Suspect a clip was made with Tortoise? Run it through the free detector to check whether the voice is AI-generated. Tortoise in short: open-source TTS known for high-quality, natural output and multi-voice cloning, at slow generation speeds.
Tortoise, and why it shows up in suspicious audio
Tortoise-TTS is an open-source text-to-speech model prized for unusually natural, high-quality output and the ability to mimic a voice from samples. It trades speed for fidelity, which is part of why its clips can be so convincing.
As with other self-hosted tools, there is no account or platform trail; the audio is the record, and the detector reads the synthesis signature the fidelity cannot hide.
Where you tend to see it: High-quality cloned narration, self-hosted projects, and impersonation.
Tortoise is a legitimate product; misuse is the problem, not the tool. You can read about it on the official Tortoise site.
How to tell a Tortoise voice
The human ear is unreliable on current Tortoise audio. These are the kinds of artifacts a detector is trained to pick up.
- 01High fidelity paired with prosody that is more regular than a real speaker's.
- 02Consistent timbre across a passage a human would color differently.
- 03Clean phoneme transitions that are slightly too smooth.
- 04A uniform noise floor with no room signature.
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.