Detect iSpeech AI voices.
Suspect a clip was made with iSpeech? Drop it in and get a citable verdict with the model named, in under half a second. Long-standing cloud text-to-speech and voice API used in apps and phone systems.
iSpeech, and why it shows up in suspicious audio
iSpeech is a long-established text-to-speech and voice API used in apps, accessibility tools, and phone systems (IVR). Its voices turn up in automated calls and notifications.
Because it is often delivered over telephony, iSpeech clips arrive compressed, the harder case a detector must handle honestly.
Where you tend to see it: IVR and phone systems, app narration, and automated notifications.
iSpeech is a legitimate product; misuse is the problem, not the tool. You can read about it on the official iSpeech site.
How to tell a iSpeech voice
The human ear is unreliable on current iSpeech audio. These are the signals a detector weighs. We report which ones drove the verdict rather than handing you a bare number.
- 01Production-TTS pacing that does not react to meaning.
- 02Artifacts that persist through telephony-grade compression.
- 03Uniform spectral balance across a clip.
- 04Even, unvarying energy across long passages.
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. iSpeech, 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 iSpeech on a phone-quality clip?
Does the source app matter?
Is there an API for bulk checks?
Free to try?
Will it name iSpeech specifically?
We attribute 24+ voice models
Is this a iSpeech voice? Find out.
Free verdict, model named, in under a second. No card to start.