Detect Replica Studios AI voices.
Suspect a clip was made with Replica Studios? Run it through the free detector to check whether the voice is AI-generated. Replica Studios in short: performance-oriented AI voices for games and film, with expressive cloned voices.
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.
How to tell a Replica Studios voice
The human ear is unreliable on current Replica Studios audio. These are the kinds of artifacts a detector is trained to pick up.
- 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.
What the detector tells you
The detector reads the audio, not the speaker. Cloned or stock voice, clean or compressed, it looks for the signs of synthesis.
Drop the clip
Upload an MP3, WAV, M4A, OGG, FLAC or AAC file. Three seconds or more of clear speech gives the most reliable result.
The model scores it
The model scores the clip. On longer recordings it scores each segment separately, so you can see which part sounds synthetic.
Read the verdict
You get a verdict on a four-step scale, from Human to AI Generated, plus an AI probability score. It tells you whether the voice is AI-generated, not which tool made it.
What to do next
A verdict is evidence, not proof. Sign in to keep the result in your detection history and share it with a link. If you are a journalist or investigator, use it 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, and a Chrome extension for checking audio in any tab is in development.