A measured 1–10 attractiveness rating combines a few facial properties (symmetry, proportions, structure, eyes and how well they fit together) into one weighted number. In FaceRuler, the average face lands near 6.4/10, not 5, because the 1–10 score is converted from the stricter 0–8 PSL scale. The free attractiveness test shows your score, percentile and all eight metrics behind it.
Key takeaway: A 1–10 score describes one photo against published reference values. It is useful for tracking changes and finding your strongest features, but raters' private taste counts about as much as shared standards, so no number is the final word on how attractive you are.
Getting a fair reading:
Why asking people (or mirrors) is a poor gauge: friends are kind, strangers on rating sites are inconsistent, and photos of the same person vary more than most people expect (Jenkins et al. 2011). The attractiveness test runs the same published formulas on every photo, scoring 8 metrics from 478 landmarks, on your device.
Here is a real report from the same engine, measured on an AI-generated portrait:

Note the honest shape of a real report: this sample has a clear weak metric (golden ratios) and still lands high on the scale — one weak feature is not a verdict, and the overall score is a weighted whole.
| 1–10 score | PSL equivalent | How to read it |
|---|---|---|
| Below 5.4 | Below 3.0 | Lower band; usually several metrics off-reference, or a poor photo |
| 5.4 – 7.4 | 3.0 – 5.0 | The broad middle, where most faces land |
| ≈ 6.4 | 4.0 | The median face, by design |
| 7.4 – 8.4 | 5.0 – 6.0 | Clearly above average |
| 8.4 – 8.9 | 6.0 – 6.5 | Top band; strong metrics with good harmony |
| 8.9+ | 6.5+ | Rare; model-photo territory |
How the number is built:
min(10, 2.4 + PSL).Every formula and weight is on the methodology page.
The two popular positions are "beauty is purely subjective" and "beauty is a formula." The research sits in between:
A straight-on, evenly lit photo from arm's length removes distortion. Verdict: the single biggest lever on any measured score. Fix this first.
Less facial fat sharpens the jaw and changes width ratios. Verdict: a genuine change in soft tissue, and good for health as well.
Good grooming reshapes the outline and frames the eyes. Verdict: a large effect on how people see you and a modest effect on the measurement.
Clearer skin and less puffiness help in person and slightly help landmark detection. Verdict: worth doing for its own sake; small effect on the score.
No controlled evidence shows these change adult bone structure, and bone smashing risks injury. Verdict: skip.
These can change measured geometry, with real risk, cost and recovery. Verdict: a decision for a qualified surgeon, never for a rating website.
A 1–10 score is one photo, eight metrics and a weighting we chose and published. It moves with lighting, and half of real-world attraction is taste the score cannot see. Use it to find your strongest feature and to track real changes under the same conditions. If checking your score starts costing you sleep or mood, stop measuring. A ruler measures; it does not judge.
Langlois JH, Kalakanis L, Rubenstein AJ, et al. Maxims or myths of beauty? A meta-analytic and theoretical review. Psychological Bulletin. 2000;126(3):390–423. doi:10.1037/0033-2909.126.3.390 — raters agree on attractiveness within and across cultures.
Hönekopp J. Once more: is beauty in the eye of the beholder? Relative contributions of private and shared taste to judgments of facial attractiveness. Journal of Experimental Psychology: Human Perception and Performance. 2006;32(2):199–209. doi:10.1037/0096-1523.32.2.199 — private taste is about as powerful as shared taste.
Rhodes G. The evolutionary psychology of facial beauty. Annual Review of Psychology. 2006;57:199–226. doi:10.1146/annurev.psych.57.102904.190208 — averageness, symmetry and dimorphism carry attractiveness.
Little AC, Jones BC, DeBruine LM. Facial attractiveness: evolutionary based research. Philosophical Transactions of the Royal Society B. 2011;366(1571):1638–1659. doi:10.1098/rstb.2010.0404 — a review of the facial traits that drive attractiveness judgments.
Jenkins R, White D, Van Montfort X, Burton AM. Variability in photos of the same face. Cognition. 2011;121(3):313–323. doi:10.1016/j.cognition.2011.08.001 — different photos of the same person vary more than most people expect.
One photo, on your device, no sign-up — your score, percentile and all 8 metrics, every formula public.
Take the free attractiveness test