Detect Speechify AI voices.
Suspect a clip was made with Speechify? Run it through the free detector to check whether the voice is AI-generated. Speechify in short: steady long-form read-aloud voices built for accessibility and listening.
Speechify, and why it shows up in suspicious audio
Speechify is a read-aloud text-to-speech product popular for accessibility and consumer listening. Its voices appear in shared audio, repurposed articles, and social clips.
Because it is optimized for hours of comfortable listening, Speechify output is smooth and steady, which gives a detector a stable pattern to key on.
Where you tend to see it: Repurposed articles, accessibility audio, and social-media clips.
Speechify is a legitimate product; misuse is the problem, not the tool. You can read about it on the official Speechify site.
How to tell a Speechify voice
The human ear is unreliable on current Speechify audio. These are the kinds of artifacts a detector is trained to pick up.
- 01Steady long-form pacing with little dynamic variation.
- 02A limited, repeatable artifact set across clips from the same voice.
- 03Even spectral balance uncharacteristic of a live recording.
- 04Phoneme transitions that are slightly cleaner than natural speech.
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.