Is RealSmile actually accurate?
We scored the same face from three different photos each. If the AI was random, the scores would jump around wildly. They don't — they land within a few points of each other.
Timothée Chalamet
Actor, measured across 3 red-carpet photos
Variance
±3 pts
Front, soft light
82
¾ turn, natural light
84
Stage lighting
81
Average: 82/100 · all three photos within 3 points.
Zendaya
Actor, measured across 3 editorial photos
Variance
±3 pts
Studio front
89
Street / daylight
87
Vogue cover
90
Average: 89/100 · all three photos within 3 points.
Henry Cavill
Actor, measured across 3 photos
Variance
±3 pts
Clean-shaven
86
Stubble
87
Beard
84
Average: 86/100 · all three photos within 3 points.
Anonymous user A
Verified paid scan, 3 selfies same day
Variance
±3 pts
Morning, bathroom light
67
Midday, window light
70
Evening, overhead
68
Average: 68/100 · all three photos within 3 points.
Why this works
RealSmile measures 17 geometric ratios (canthal tilt, FWHR, golden ratio, lower-third proportion, etc.) — not vibes. Ratios are stable across photos because they come from the distance between facial landmarks, which don't change based on lighting or mood. Free tools like UMax use overall-vibe CNNs that swing ±15 points photo-to-photo. We don't.
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