LMAO

LMAO is a realtime AI prank calling app that generates a live, conversational voice on the phone instead of playing a pre-recorded clip. A voice library of accents and celebrity impressions lets users pick a persona and send a call in a few taps.

LMAO is a realtime AI prank calling app. Instead of playing a canned recording down the line, it generates a live voice that holds a conversation with whoever picks up, adapting as the call unfolds. The pitch is simple: the person on the other end hears something that sounds close enough to a real human that the joke lands before they catch on. At the centre of the product is a voice library. Voices are organised by gender and accent, and a large share are celebrity impressions drawn from public figures in entertainment and politics. Each voice shows a play count, which gives a rough sense of what other users reach for most. Once a voice is chosen, the call can be sent straight from the app; the campaign page puts a single SEND CALL button in front of the whole experience, so starting a prank is a few taps rather than a configuration exercise. The tool is built for people who enjoy practical jokes and short-form comedy, and it is clearly positioned against older prank dial services that relied on pre-recorded clips. Casual users can fire off a call for a laugh, while creators who film reactions or run comedy accounts get a faster way to produce a recurring bit without booking a voice actor. Because the AI stays in character through back and forth conversation, it suits setups where the target talks back and tries to work out what is happening. Where it sits in the wider market: LMAO is entertainment software, not a communications or voiceover tool. It is not a call centre simulator, not a robocall platform and not a voice cloning studio for your own projects. Judged purely as a comedy product, its differentiation rests on two things, the realtime conversational engine and the breadth of personas. Everything else (pricing tiers, country coverage, recording exports) is thin or absent on the public site, so buyers should expect to judge those details inside the app.