Detect LOVO AI voices.
Suspect a clip was made with LOVO? Run it through the free detector to check whether the voice is AI-generated. LOVO in short: studio TTS and voice cloning (Genny) with a large stock-voice library, popular for content and ads.
LOVO, and why it shows up in suspicious audio
LOVO, through its Genny product, is an AI voice generator widely used for video narration, ads, and social content, with a large stock-voice library and voice cloning. Its polish makes it common in produced media.
That studio consistency is a trait a detector keys on when a clip is passed off as a genuine recording.
Where you tend to see it: Video narration, ads, and social content.
LOVO is a legitimate product; misuse is the problem, not the tool. You can read about it on the official LOVO site.
How to tell an LOVO voice
The human ear is unreliable on current LOVO audio. These are the kinds of artifacts a detector is trained to pick up.
- 01Polished, unwavering delivery uncharacteristic of a live take.
- 02Recurring stock-voice timbres across unrelated clips.
- 03Cleaner phoneme transitions than natural speech.
- 04A studio-uniform noise floor with no room signature.
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.