Is this an AI attractiveness test?
Yes — with the formula shown. It combines four geometric components (symmetry, facial thirds, facial fifths, and golden-ratio proximity) into a reproducible 0–100 facial-harmony proxy. It does not measure every quality that shapes real-world attraction, and the disclosed weights are product calibration rather than a universal scientific formula.
How do I test how attractive I am with a photo?
Upload (or take) one front-facing photo with your face level and hair off your forehead. The test detects 478 facial landmarks in your browser, measures symmetry and proportions, and returns a 0–100 score, tier, and one personalized measurement preview. Your photo is never uploaded for the free test; derived scores are saved temporarily so a result link and optional paid report can work. No login is required.
What is a good attractiveness score?
On the current calibrated scale, 78+ indicates above-average measured balance, 83+ indicates a strong geometry profile, and 87+ is the highest tier. These are bands within this tool, not universal beauty percentiles or a verdict on how people see you.
How is this different from other AI beauty score tools?
Two key differences: the formula is disclosed — symmetry 35% + thirds 25% + fifths 25% + golden ratio 15% — and the measurements come from MediaPipe's 478 facial landmarks in your browser. That makes the same photo reproducible under the same engine version while keeping the limitations visible.
Can I improve my score?
You can make the measurement more consistent with a straight-on camera, neutral expression, even lighting, and a non-wide-angle lens. Hairstyle, grooming, and makeup can change how proportions read visually, but facial exercises are not a reliable way to change adult skeletal symmetry. Treat repeated scores as photo-condition baselines, not medical or anatomical targets.
Why is my score lower than I expected?
Three common reasons. First, photo conditions: tilted angles, smiles, asymmetric expressions, and poor lighting all reduce scores significantly. Try a neutral, front-facing photo with even lighting. Second, this scale is strict near the top: 90+ requires close alignment across all four measured components. Third, the score measures distance from selected geometric targets, which do not capture every form of attractiveness.
Does the AI have racial or gender bias?
The aesthetic-ideal ranges used here come from cosmetic surgery literature and Western anthropometric studies, which have well-documented Eurocentric bias. The tool doesn't classify by race or gender, but the ratio targets reflect a particular aesthetic tradition. Faces from non-European populations may score lower not because they're less attractive but because their natural proportions deviate from these specific norms. Treat the score as a measurement against one tradition, not a universal judgment.
Should I use this score to pick dating photos?
It can be a useful tiebreaker if you have several similar photos and want to pick the one with the best lighting and angle (which strongly affect the score). But research on dating-app photo selection consistently finds that warmth, approachability, and a genuine smile predict matches better than mathematical harmony. A photo with a slightly lower harmony score but a genuine smile usually outperforms a higher-harmony but neutral one.
What does science actually say about facial attractiveness?
Decades of research (Rhodes, 2006; Little, 2014; and others) consistently identify several factors that correlate with attractiveness ratings: bilateral symmetry, averageness (faces close to the population mean), sexual dimorphism (gender-typical features), and clear skin. Beyond these, expression, behavior, vocal qualities, and cultural context strongly modulate perceived attractiveness. The harmony score captures the symmetry + proportional aspects; the others require a real human, not a photo.