Upload a hand photo. AI reads your biological age, skin grade, and the gap against your face — in 15 seconds.
Dermatologists have used hand appearance for biological age estimation for decades. The back of the hand reveals what the face conceals — because most people invest in facial SPF, retinol, and moisturiser while completely neglecting their hands. The result is a measurable gap between face age and hand age that reflects years of differential care.
Research published in Experimental Dermatology found that AI models trained on dorsal hand images can estimate biological age with a mean error of just 4.7 years — comparable to facial image analysis at 4.1 years. HandScan AI assesses five marker categories: skin texture and surface lines, vein and tendon prominence, solar lentigines from UV exposure, collagen density and elasticity, and nail condition.
Upload a photo of the back of your hand and get your biological age estimate in 15 seconds. The AI assesses skin texture, vein prominence, pigmentation, collagen indicators, and nail condition to produce a result comparable in accuracy to dermatologist assessment.
Yes. Research shows AI models can estimate biological age from hand photos with a mean error of 4.7 years. HandScan AI uses the same dermatological markers clinicians use: skin texture, sun damage, collagen loss, vein prominence, and elasticity.
Hand skin is approximately 30% thinner than facial skin and has less protective subcutaneous fat. Most people also apply SPF and moisturiser to their face daily but rarely to their hands — so hands accumulate UV damage year after year without protection.
Yes — completely free with no signup required. Upload a hand photo, get your biological age estimate, skin grade, nail health reading, and three personalised product recommendations instantly. The optional $9.99 Full Biometric Report goes deeper with 20+ markers and a 90-day routine.