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Detect Replica Studios AI voices.

Updated July 2026

Suspect a clip was made with Replica Studios? Drop it in and get a citable verdict with the model named, in under half a second. Performance-oriented AI voices for games and film, with expressive cloned voices.

Synthetic detectedReplica Studios
Confidence
high
Model
Replica Studios
Yes, you can check. Drop the clip into the detector and it returns the probability that the speech was generated by Replica Studios, 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 Replica Studios voices alike, and gives you a citation URL to quote.
What it is

Replica Studios, and why it shows up in suspicious audio

Replica Studios makes AI voices aimed at games, film, and interactive media, with expressive, performance-directed cloned voices. It appears in production pipelines and, occasionally, in impersonation.

Its expressive delivery is convincing, but performance-tuned synthesis leaves artifacts a detector can read.

Where you tend to see it: Game and film voiceover, interactive media, and impersonation.

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

The tells

How to tell a Replica Studios voice

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

  • 01Expressive but slightly synthetic emotional contours, especially on emphasis.
  • 02Consistency across takes a human performer would vary.
  • 03Vocoder artifacts in fricatives.
  • 04A clean noise floor uncharacteristic of a live booth.
Spectral view · artifacts concentrate where synthesis smooths what a human voice would not
How the detector identifies Replica Studios

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. Replica Studios, 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 · Replica Studios

Common questions

Can you detect a Replica Studios voice?
Yes. Cloning does not remove the underlying synthesis signature, though confidence still depends on audio quality and clip length.
Does expressive delivery fool the detector?
No. Emotional coloring does not erase the acoustic signature the detector reads.
Is a single check free?
Yes, a single verdict is free with no card.
Can I check a video's audio?
Yes. The detector reads the audio track, so video files work too.
Will it name Replica specifically?
When recognizable, yes; otherwise it returns 'unknown synthesis'.

Is this a Replica Studios voice? Find out.

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

Open detectorUse the API