Verify audio before you publish.
Verify suspicious audio before you publish. A citable AI-voice verdict with the source model named in under half a second, backed by a published methodology.
Fake audio moves faster than a correction
Fabricated "leaked" recordings and cloned-voice clips of public figures now circulate hours before anyone can respond, and the 2024 cycle was the first where AI-generated robocalls reached voters at scale, serious enough that the US FCC confirmed AI-generated voices in robocalls are illegal. For a newsroom, publishing or amplifying a synthetic clip is a correction, a trust hit, and sometimes a legal exposure. Our deepfakes in elections note covers the pattern.
How newsrooms use itVerify before you publish, cite after
Drop a suspect clip into the detector and get a probability, a confidence level, and the source model in under half a second. The methodology is published and version-stamped, so a verdict holds up in editorial review and can be cited in the piece with a permanent URL. When confidence is low on a compressed or short clip, the detector says so rather than guessing, which is exactly the honesty an editor needs. For the step-by-step, see how to verify AI audio.
Honest scopeA tool, not a verdict on the story
We analyze the audio, not the images, and not live broadcasts. We return whether the voice bears the signature of synthesis, which is one input to your reporting, not a substitute for it. Pair a verdict with your own sourcing, and use provenance standards like C2PA where available. Build checks into your workflow with the API. Used well, a verdict turns a viral rumour into a checkable claim your desk can stand behind, fast enough to matter on deadline and documented enough to survive scrutiny afterward.
Catch the obvious tells first
A quick listen narrows what to escalate. Unnaturally even pacing, missing or too-regular breaths, a suspiciously clean background, and a narrow emotional range are common signs a clip is worth verifying. None is proof on its own, which is why the detector reads the acoustic fingerprint the ear cannot. See AI voice vs human voice for the full checklist, and if the clip points to a scam or fraud angle, the fraud detection use case covers the response for security teams.
What every verdict gives you
Common questions
Can I cite the verdict in a story?
How fast is it on deadline?
What if the clip is low quality?
Does it work on video?
Is it free for journalists?
Verify it before you rely on it.
Free for a single verdict. API for teams on Starter and above.