Pretty or Ugly?

The binary framing — pretty or ugly — is how most people think about it, but reality is far more nuanced. Facial attractiveness falls on a continuous spectrum, and where you land depends on multiple independent dimensions. Someone can have exceptional symmetry but average proportions, or striking eyes with a weak jawline. The interesting question isn't “which side am I on?” — it's “what's actually going on with my face?”

Our AI analysis replaces the binary with a detailed, multi-dimensional breakdown. Using 468 facial landmarks tracked in three dimensions, the tool evaluates six structural categories: bilateral symmetry, golden ratio proportions, jawline definition, facial thirds balance, eye spacing and tilt, and skin clarity. Each gets its own 0-100 subscore before being combined into an overall 1-10 rating.

The pretty scale — the 1-10 rating people commonly reference — follows a normal distribution. Most people cluster between 4 and 7. Scores above 8 require near-ideal geometry across multiple dimensions simultaneously. Scores below 3 are equally rare. If you feel like “everyone else is more attractive,” that's a well-documented cognitive bias, not reality.

What makes this tool different from asking strangers online: consistency and specificity. The same photo always produces the same score. And instead of a vague “6/10” with no explanation, you see exactly which dimensions contribute positively and which pull the score down. That specificity makes the result useful rather than just ego-bruising or ego-boosting.

The analysis is also built to be fair across skin tones and ethnicities. Skin luminosity scoring uses a bell curve rather than a linear bias toward lighter or darker complexions. Nose proportions include tolerance zones. The system measures structural harmony, not conformity to any single ethnic standard.

Everything runs locally in your browser. Your photo is never uploaded, stored, or seen by anyone. No account required. Results in seconds.