Detect Speechify AI voices.
Suspect a clip was made with Speechify? Drop it in and get a citable verdict with the model named, in under half a second. 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 signals a detector weighs. We report which ones drove the verdict rather than handing you a bare number.
- 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.
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.
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.
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. Speechify, when it recognizes it.
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.
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.
Common questions
Can you detect Speechify in a video's audio?
What if the detector is not sure?
Is it free to check a clip?
Does background music affect it?
Will it name Speechify?
We attribute 24+ voice models
Is this a Speechify voice? Find out.
Free verdict, model named, in under a second. No card to start.