Detect Bark AI voices.
Suspect a clip was made with Bark? Run it through the free detector to check whether the voice is AI-generated. Bark in short: open-source generative audio model that produces speech plus nonverbal sounds like laughs and sighs.
Bark, and why it shows up in suspicious audio
Bark is an open-source generative audio model, originally from Suno, that produces speech and can add nonverbal cues such as laughter, sighs, and background music. It is popular in open-source projects and creative tools.
Its expressive, sometimes unpredictable output has a recognizable texture, and being open-source it runs anywhere, so the clip itself is the only thing to go on.
Where you tend to see it: Open-source projects, creative audio, and social clips.
Bark is a legitimate product; misuse is the problem, not the tool. You can read about it on the official Bark site.
How to tell a Bark voice
The human ear is unreliable on current Bark audio. These are the kinds of artifacts a detector is trained to pick up.
- 01Expressive but slightly unstable prosody, with energy that wavers in a characteristic way.
- 02Nonverbal inserts (laughs, sighs) that sound synthesized on close listen.
- 03Artifacts at phoneme boundaries audible to a model.
- 04A texture that shifts mid-clip more than a real recording would.
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.