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Verify audio before you publish.

Updated July 2026

Verify suspicious audio before you publish. A verdict on whether a voice is AI-generated, with segment-by-segment scores you can review.

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VerificationEditorial review
Verdict
Likely AI
Output
Score and segments
The problem

Fake audio moves faster than a correction

To verify audio in a newsroom, save the original file and run it through a detector before you publish. It returns a verdict on a four-step scale, from Human to AI Generated, plus an AI probability score, and segment-by-segment scores on longer clips. It analyzes recordings, not live broadcasts, and it is one input to your reporting, not a replacement for sourcing.

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 it

Verify before you publish

Drop a suspect clip into the detector and get a verdict on a four-step scale, from Human to AI Generated, plus an AI probability score. The result shows which parts of a clip scored as synthetic, which makes it easier to explain in editorial review. Compressed or short clips give less reliable results, so treat a borderline verdict as inconclusive. For the step-by-step, see how to verify AI audio.

Honest scope

A 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.

Before you run it

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 you get

What every verdict gives you

FAQ · Newsrooms

Frequently asked questions

Can I use the verdict in a story?
Yes, as one piece of evidence alongside your own reporting. Save the result to your history and share it with a link so an editor can see exactly what was scored.
What do I get back?
A verdict and an AI probability score for each clip, plus a score for each segment on longer clips.
What if the clip is low quality?
Compressed or very short clips give less reliable results. Treat a borderline verdict as inconclusive and look for a better source.
Does it work on video?
It reads the audio track of a video file, but it does not analyze the images. For a synthetic face, a video-specific tool is needed.
Is it free for journalists?
A single verdict is free with no account. Higher volumes and the API are on the paid plans.

Verify it before you rely on it.

Free for a single verdict. API for teams on Starter and above.

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