Firasa reads emotions and micro-expressions from a live camera, a video file, a photo or a URL, and shows whether a smile actually reached the eyes. Everything runs client-side: the footage never leaves your device, so there is no upload and no stored video of anyone's face. What it is not: a lie detector. No facial signal means lying, and we say so on the site instead of selling that fantasy. Firasa measures expression and timing, not truth. Free to start, no account needed.
Hi everyone, I'm Fozil, I built Firasa.
It started with an annoyance. Almost everything in the "read people" category sells the same fantasy: that you can see a lie on a face. You cannot. Human lie detection sits near coin-flip in the research, and a stressed honest person looks exactly like a guilty one. So I built the honest version of the idea instead.
What Firasa actually measures is emotion and timing. Whether a smile recruited the muscle around the eye or only the mouth. Which emotion flashed for 200 ms before being covered. How an expression shifted when a topic came up. That part is real, measurable and genuinely useful once you slow it down.
One constraint shaped the whole build: the video never leaves your device. Everything runs client-side, so there is no upload, no stored footage of anyone's face, and no retention policy you have to take on faith.
Free to try, no account: www.foza.app
A two-minute version if you just want to test yourself on ten faces: www.foza.app/duchenne-test
I would love feedback, especially on anywhere the claims still feel overstated. I would rather cut a feature than oversell it.