Remember that viral video of Rashmika Mandanna entering an elevator? It looked incredibly real, but it wasn't. That deepfake shook the internet and proved one scary thing: we can't trust our eyes anymore.
But it didn't stop there. During the recent elections, we saw Bollywood stars like Ranveer Singh and Aamir Khan apparently endorsing political parties they had never actually spoken about. In India, where "WhatsApp University" forwards spread faster than wildfire, knowing what's real is crucial. You don't want to be the person spreading fake news in the family group.
The technology is scary, but it’s not magic. It leaves clues. Here is how you can become a human deepfake detector.
The Visual Giveaways
AI models are incredibly smart, but they struggle with basic biology and physics. When you see a video that feels slightly "off," trust that gut instinct. It is usually the small details that ruin the illusion.
Key points:
- The Blink Test Humans blink naturally, usually once every few seconds. AI subjects often stare uncomfortably long or blink in a weird, rapid pattern. If the person in the video hasn't blinked in 10 seconds, be suspicious.
- Rubbery Skin Texture Real skin has texture. We have pores, small wrinkles, and imperfections. AI skin often looks too smooth, almost like a polished plastic doll or a face with a heavy "beauty filter" applied. If their forehead doesn't wrinkle when they raise their eyebrows, it’s likely a fake.
- The Hands Problem AI still hates hands. It frequently messes up finger counts or makes fingers blend into objects. Watch closely when the subject waves or holds a microphone. You might see six fingers, or fingers that melt into the background.
- Lighting and Shadows Physics is hard for computers to fake perfectly in real-time. Look at the shadows on the face. If the sun is behind them, but their face is perfectly lit from the front without any studio lights visible, that’s a red flag. Also, check if the reflection in their glasses matches the environment.
Check the Audio Sync
Audio is often the easiest way to spot a fake. AI voice cloning is getting better, but matching that voice to lip movements is hard work. We saw this a lot recently with politicians suddenly speaking fluent Tamil or Telugu when they don't actually know the language.
1. Lip Sync Failures Watch the mouth closely. Does the movement match the words? Often in AI videos, the lips move like a badly dubbed movie—just slightly out of time with the audio. The shape of the mouth might not match the vowel sounds being spoken.
2. The Robotic Tone AI voices lack human soul. They might sound angry but maintain a flat, monotonous pitch. If a celebrity is supposedly screaming or giving a passionate speech, but their voice sounds calm and steady, it’s likely a clone. Humans vary their pitch and speed naturally; AI often struggles to replicate that "messy" human rhythm.
3. The "Too Clean" Audio Real videos have background noise—wind, traffic, a fan humming. AI-generated audio is often eerily silent in the background. If a video claims to be from a chaotic rally but the audio sounds like it was recorded in a soundproof studio, it’s fake.
The Logic Check: Context is King
Sometimes, you don't need technical skills. You just need common sense. Deepfakes thrive on shock value. They want you to react emotionally and hit "share" before you think.
Language Mismatch As mentioned, AI is often used to make leaders speak local languages to woo voters. If a North Indian leader is suddenly speaking flawless Malayalam without a hint of an accent, pause. While technology can bridge language gaps, deceptive use of it is rampant.
The "Too Good to be True" Factor Did a famous actor really promote a sketchy betting app? Did a rigid politician suddenly start dancing to a trending reel? If the behavior seems completely out of character, it’s probably synthetic. Scammers use familiar faces to sell crypto schemes and gaming apps because they know we trust those faces.
Tools vs. Your Eyes
There are tools online like "AI or Not" or "Deepware," but they aren't perfect. They can give false positives. The best tool you have is Reverse Image Search.
If you see a shocking video, take a screenshot of a clear frame. Upload it to Google Lens or Google Images. You will often find the original video, which might be years old and completely unrelated to the audio playing over it. This is how the Rashmika deepfake was debunked—people found the original video of the British-Indian influencer Zara Patel.
Conclusion
Technology moves fast, but your observation skills can move faster. The next time you see a shocking clip of a Bollywood star or a politician saying something outrageous, pause. Look at the hands, listen to the background noise, and verify the source.
Don't let an algorithm fool you.
Have you ever spotted a deepfake in your social feed before anyone else did?

IVH Editorial
Contributor
The IndianViralHub Editorial team curates and verifies the most engaging viral content from India and beyond.






