Janhvi Kapoor Deepfake: Any Face Online Can Be Faked

One of India's best-known film stars says what happened to her is "bordering on sexual assault." Her name is Janhvi Kapoor. And she says the images at the center of it were never real. Someone built them with A.I., starting from nothing but her face.

It's easy to file this under celebrity news

It's easy to file this under celebrity news. It isn't. The tools that targeted her need only one thing to work, and that's a photo. If you've ever posted a picture online, or been tagged in someone else's, your face is already out there. That's an unsettling thought. It's fine to sit with it for a second.

So what happened? Kapoor, a Bollywood actress, spoke out about A.I.-generated fake videos and images of her spreading online. She called it deeply violating. Some of those fakes are now blocked inside India. But they keep turning up on other platforms. And judges have refused to order a blanket takedown. Underneath the headline sits a harder question. If a fake can wound someone as deeply as the real thing, how do we protect people, and how does anyone prove what's fake?

Start with her choice of words. She didn't say embarrassing. She didn't say annoying. She reached for the language of assault. Why? Because nobody asked her. Her face was taken, attached to something she never did, and shown to strangers.

Widen the lens

Now widen the lens. According to UN Women, the number of deepfake videos online in 2023 was about six and a half times higher than in 2019. And the climb hasn't slowed. Estimates put deepfakes shared at roughly half a million in 2023. For 2025, the projection is eight million. That's about sixteen times as many. In two years.

What are those fakes, mostly? Researchers find that nearly all Biometric Information One Face Scan Can Cost A Firm 5 000 videos online are pornographic. And among the people targeted, about ninety-nine out of a hundred are women. So when people call deepfakes a misinformation problem, that's only part of it. For most victims, it's a problem of sexual abuse.

Then there's the question of who's making them. Peer-reviewed research published through the A.C.M., one of the world's major computer science organizations, surveyed more than sixteen thousand people across ten countries. About one in fifty said someone had created fake intimate images of them. Picture a high school with a thousand students. That's twenty kids. Studies of these cases also find that victims are mostly women, and the people creating the images are mostly men. Often, they're people the victim already knows. Not a stranger overseas. A classmate. A coworker. An ex.

Researchers classify this as image-based sexual abuse

Researchers classify this as image-based sexual abuse. The documented harm is specific. It shows up in victims' mental health and in their careers. Some pull back from being online at all, and even from being around other people.

Some critics say all this awareness feeds a moral panic, and that platforms are already cracking down. There's some truth there. But Kapoor's own case shows the gaps. Blocked in one country. Still circulating everywhere else. The protections exist in patches, not as a wall.

For investigators and lawyers, this changes how evidence gets checked. Security researchers who study detection keep landing on the same point. No single test is enough. A detection app can miss a good fake. A quick look by the human eye misses even more. The stronger approach layers several checks. That includes comparing the suspicious image against verified, authentic photos of the same person, using a consistent method every time. In a courtroom, that's the gap between "it looks fake" and "I can show you it's fake." For the rest of us, it means pausing before we believe or share.