
Ever wondered what your face says about your age? Our AI reads the subtle markers of biological aging and returns an estimate of your apparent age — in seconds.
Try it nowFace the light, remove glasses and hats, and keep your whole face in frame. Estimates are for interest only and are not a medical assessment.
The model resolves your face into a dense landmark mesh — orbital rims, nasolabial folds, jaw contour, perioral texture. Geometry gives structure; texture fields give age. Nothing about identity is retained.
Each visual marker carries a learned weight. Periorbital volume loss and dermal elasticity dominate; pigment variance and contour definition refine the edges of the estimate.
A single number hides uncertainty. Every result ships with a confidence band, so the signal you track is the trend across captures — not one reading.
Your frame is analyzed for a single request, never stored on our servers and never attached to your account. When the estimate returns, the frame is gone.
Perceived facial age correlates with markers of cellular aging. Estimates are directional, not diagnostic — a mirror for tracking change over time, not a medical assessment.
Ref. Facial age estimation using deep learning: the importance of confidence intervals in model predictions. Scientific Reports, 2022.