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Detect WellSaid Labs AI voices.

Updated July 2026

Suspect a clip was made with WellSaid Labs? Drop it in and get a citable verdict with the model named, in under half a second. Broadcast-grade corporate voiceover TTS with a curated library of studio voices.

Synthetic detectedWellSaid Labs
Confidence
high
Model
WellSaid Labs
Yes, you can check. Drop the clip into the detector and it returns the probability that the speech was generated by WellSaid Labs, a confidence level, and the named model, in under half a second. It reads the audio's synthesis signature, so it works on cloned and stock WellSaid Labs voices alike, and gives you a citation URL to quote.
What it is

WellSaid Labs, and why it shows up in suspicious audio

WellSaid Labs is a studio text-to-speech platform aimed at corporate training, product videos, and advertising. Its voices are polished and consistent, which is why they are common in e-learning and explainer content.

That studio consistency, the thing that makes the voices useful for narration, is also a trait a detector can key on when a clip is passed off as a real recording.

Where you tend to see it: E-learning, corporate video, and advertising voiceover.

WellSaid Labs is a legitimate product; misuse is the problem, not the tool. You can read about it on the official WellSaid Labs site.

The tells

How to tell a WellSaid Labs voice

The human ear is unreliable on current WellSaid Labs audio. These are the signals a detector weighs. We report which ones drove the verdict rather than handing you a bare number.

  • 01Unwavering studio delivery, with less spontaneous variation than a real narrator.
  • 02Recurring stock-voice timbres that turn up across unrelated clips.
  • 03Cleaner phoneme transitions than natural speech.
  • 04A studio-uniform noise floor with no room signature.
Spectral view · artifacts concentrate where synthesis smooths what a human voice would not
How the detector identifies WellSaid Labs

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.

Step 1

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.

Step 2

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. WellSaid Labs, when it recognizes it.

Step 3

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.

0.48s
Median verdict
99%
Accuracy on clean audio
24+
Generators covered
24h
Audio deleted after
If a clip turns out synthetic

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.

FAQ · WellSaid Labs

Common questions

Stock voice or custom, does it matter?
No. The detector reads the synthesis, not the speaker, so both are in scope.
Can you detect WellSaid inside a video?
Yes. The detector reads the audio track, so video files work too.
How fast is a verdict?
About half a second of compute on a typical clip.
Is there a free check?
Yes, a single verdict is free with no card.
Do you name the model?
When we recognize WellSaid we name it; ambiguous clips return 'unknown synthesis'.

Is this a WellSaid Labs voice? Find out.

Free verdict, model named, in under a second. No card to start.

Open detectorUse the API