Home · Deepfake voice detection

Deepfake voice detection.

Updated July 2026

Cloned and synthetic voices are convincing enough to fool the ear. Drop a recording in and get a verdict on whether the voice is AI-generated.

Detect a voice freeAll generatorsContact sales
Example resultAI voice check
Verdict
Likely AI
Output
Score and segments
What it is

A voice deepfake, and why the ear fails

Deepfake voice detection determines whether spoken audio was generated by a voice-cloning or text-to-speech model rather than a real person. A detector reads the acoustic fingerprint of the clip, the spectral, prosodic, and timing traces synthesis leaves behind, and returns a verdict and an AI probability score.

A voice deepfake is speech produced or cloned by a model such as ElevenLabs, Resemble, or PlayHT, often from seconds of sample audio. Current systems reproduce prosody and timbre well enough that listeners perform close to chance on clean clips. The reliable signal is acoustic: synthesis leaves artifacts in the spectrum, in breath and pause placement, and in phoneme transitions that a trained model reads even when a person hears nothing wrong. For the tells you can check by ear first, see AI voice vs human voice.

How detection works

The audio, not the words

The detector analyzes the sound, not the script, so it works across languages and accents and on both cloned and stock voices. It tells you whether a voice is AI-generated, not which tool made it. See the full guide to how detection works.

Spectral view · artifacts concentrate where synthesis smooths what a human voice would not
Voice-specialized

Not a generic deepfake tool

We are voice and audio only. That is a deliberate scope: most deepfake tools are built for images or video and treat audio as a bolt-on. On longer clips we score each segment, so you can see which part sounds synthetic. We can read the audio track of a video, but we do not analyze the images, and we never claim a guaranteed 100% result.

Where it is used

Fraud, journalism, and evidence

Fraud teams screen flagged recordings for cloned-voice CEO and vishing attacks; see the fraud detection use case. Newsrooms verify audio before publishing, and investigators keep the result with a case file, a practice we cover on audio authentication. Build it into your own workflow with the API, which returns the same JSON verdict. Choosing across media? See best deepfake detection tools. For provenance beyond detection, content-authenticity standards like C2PA attach origin data to genuine media and complement a detector.

To verify a specific clip now, open the detector, or start from a suspected generator on the detect pages, or check a song with the AI music detector.

FAQ · Deepfake voice detection

Frequently asked questions

What is deepfake voice detection?
It is determining whether spoken audio was produced by a voice-synthesis or voice-cloning model rather than a real person. A detector reads the acoustic fingerprint of the clip, the spectral and prosodic traces synthesis leaves behind, and returns a verdict and an AI probability score.
Do you detect deepfake video too?
We are voice and audio only. We can analyze the audio track of a video file, but we do not analyze the images. For a synthetic face or lip-sync, a video-specific tool is needed; we answer whether the voice is real.
How is this different from a generic deepfake detector?
Most generic detectors are tuned for images or video and treat audio as an afterthought. We are specialized for voice: on longer clips we score each segment separately, so you can see which part of a recording sounds synthetic.
How accurate is it?
Segment-by-segment scores on longer clips. Heavily compressed or very short clips give less reliable results. No detector should claim a guaranteed 100% result.
Is there a free deepfake voice detector?
Yes. A single verdict is free with no account. Higher volumes and the API begin on the paid plans.

Is the voice a deepfake? Find out.

Free verdict. No account needed. No card to start.

Open detectorUse the API