Authenticate audio evidence.

Recordings enter evidence already suspect

Cloned-voice clips now surface in disputes, custody matters, employment cases, and fraud investigations, where a fabricated recording can shift a decision before anyone questions it. Investigators and counsel need a defensible way to ask whether a recording is synthetic, with a record of how the question was answered.

A documented analysis

Run the recording through the detector and save the verdict. You get a verdict on a four-step scale, from Human to AI Generated, plus an AI probability score, saved to your history with a share link. The result shows exactly what was scored, segment by segment, so it can be reviewed alongside other evidence. This is audio authentication in the practical sense: a documented, repeatable analysis of whether the voice was machine-generated. For the method, see how to verify AI audio.

Analysis, not a ruling

We provide a probability with a published method behind it. We do not determine admissibility, we are not a law firm, and we do not certify identity; whether and how a verdict is used in a proceeding is for counsel and the court. We analyze recordings after the fact and never claim a guaranteed result. Integrate into a review workflow with the API, and for provenance see C2PA. The goal is narrow and defensible: a documented answer to whether the voice was machine-generated, produced the same way every time, that an expert on either side can examine.

How to read the result

The verdict is an AI probability score with a four-step label. Short, compressed or noisy clips give less reliable results. For a contested recording, capture the clearest available copy and avoid re-recording it through another device, which adds compression and strips the artifacts the analysis relies on. Because the analysis is documented and repeatable, it supports a case file, a dispute, or a referral without asking anyone to trust a black box.

What every verdict gives you

Frequently asked questions