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Am I Attractive? AI Attractiveness Test

AI rates 17 facial proportion metrics — see how your face scores objectively.

4,200+ tests run · 4.7★ rating · No signup required

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What an AI attractiveness rating actually tells you

Attractiveness is not one variable. Published research shows perceived attraction is a weighted combination of facial proportions, body fat percentage, skin quality, expression, eye contact, voice, posture, scent, personality, status, humor, and social context. Most of those are invisible to a camera. A few of them are not.

This tool focuses on the visible, measurable subset: the geometric proportions used in classical aesthetic research. It scores 17 of them in your photo and returns an objective number — same input, same output, every time. That makes it useful for comparing photos, tracking changes over time, or identifying which specific features pull your score down.

What it cannot do is tell you whether you are attractive to a specific person, whether you would do well on a dating app, or whether your real-world charisma compensates for any specific feature. Those answers require humans, not algorithms.

How the rating works

STEP 1

Upload one photo

Front-facing, neutral expression, decent lighting works best. We support HEIC, JPG, PNG.

STEP 2

Run 17 metric checks

The model places facial landmarks, measures distances and angles, and compares them to population norms.

STEP 3

Get your rating

See your composite score, your strongest features, and the metrics where you have the most room to improve.

What the AI looks at

These are the 17 proportion metrics scored from your photo. They reflect classical aesthetic research, not subjective beauty as judged by a real person:

Facial Symmetry

Bilateral balance between left and right halves. Asymmetry above 8% generally lowers ratings.

Canthal Tilt

Angle from inner to outer eye corners. Mild positive tilt (the "hunter eye" range) scores highest in research.

Facial Thirds

Hairline-to-brow, brow-to-nose, nose-to-chin. Equal thirds = harmony.

Facial Fifths

Horizontal proportions across the face. Each fifth should equal one eye width.

FWHR (Facial Width-to-Height Ratio)

Linked to perceived dominance and masculinity in men; influences perceived softness in women.

Midface Ratio

Nose-to-mouth distance vs total face length. Shorter midface scores higher on average.

Jawline Angle

Gonial angle. ~120-130° reads as classically masculine, ~130-140° as softer / classically feminine.

Chin Projection

How far the chin projects forward relative to the lower lip plane.

Cheekbone Prominence

Zygomatic projection — how visible cheekbones are in a neutral expression.

Eye Spacing

Inter-canthal distance. Ideal ratio is 1:1:1 (eye width : gap : eye width).

Hunter Eye Index

Composite of canthal tilt, eyelid hooding, and scleral show.

Brow Position

Brow height and arch placement relative to the eye.

Nose Width

Alar width vs inter-eye distance. Narrow midface generally scores higher.

Lip Fullness Ratio

Upper-to-lower lip ratio. Around 1:1.6 is the classical preferred range.

Mouth Width

Mouth width relative to inter-pupillary distance.

Skin Texture

Surface evenness in your photo. Heavily affected by lighting and camera quality.

Lighting Quality

How well the photo lights your face. Often the single biggest score driver.

Important: this measures classical proportions, not lived attractiveness. Style, charisma, expressiveness, and personality all move real-world ratings significantly and are invisible to a static frontal scan.

Score interpretation

75-100

High classical proportions — conventionally attractive on geometric metrics

60-74

Attractive in the right photo — angle, lighting, and expression matter most here

40-59

Average proportions — usually fixable with a smarter photo strategy

0-39

Lower classical-proportion score — score does not equal how people perceive you in real life

What this test is NOT

It is not a verdict. No AI can rate how attractive you are as actually perceived by a real human being. Real attraction integrates voice, presence, scent, humor, vulnerability, eye contact, body language, and chemistry — none of which a static photo captures.

It does not measure style or charisma. Hairstyle, fashion, posture, grooming, and confidence all shift attractiveness ratings dramatically in real-world studies. They are invisible to a frontal proportion analysis.

It is one data point. Use the score to find which photos perform best and which specific metrics are improvable through lighting, body fat, skincare, and posture. Do not let it decide your worth — you will lose either way, regardless of the number.

It does not replace human feedback. If you want to know how people actually perceive you, ask 5 honest friends or use a peer-rating tool. This is geometry, not perception.

Get your objective rating

Run the free attractiveness test

17 metrics measured from a single photo. Free scan returns your score plus highest/lowest features — full report with every metric, percentile rankings, and a photo-improvement plan available as an upgrade.

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✓ 4,200+ tests run✓ 4.7★ rating✓ 100% private

Frequently asked questions

How accurate is an AI attractiveness rating?

On the geometric features it measures, AI ratings are highly reproducible — upload the same photo twice and you get the same number, which is more than can be said for asking friends or strangers. As a predictor of how real humans rate attractiveness, AI proportion models correlate moderately with population averages but cannot account for personality, voice, charisma, or chemistry. Treat the score as a measurement of classical proportions, not a measurement of total attraction.

What scores count as "attractive"?

Above 75 generally indicates strong classical proportions. 60-74 is the "depends on the photo" zone where lighting, angle, and expression flip the result. 40-59 is average proportions where photo strategy matters most. Below 40 means specific metrics are scoring low, often fixable with better lighting, body fat changes, or angle work — and crucially, low geometric scores do not predict how attractive you are in person.

Does the test work for men and women?

Yes. The 17 metrics include both classically masculine (sharper jawline angle, prominent chin, narrower lower face) and classically feminine (softer jawline, fuller lips, larger relative eye size) proportions. The model scores each metric against the appropriate population norms. You do not need to specify your gender for the test to work.

Why does my score change between photos?

Because the test rates the photo, not you. Lighting, lens distortion, head tilt, expression, and camera distance all change measured proportions. A 15-30 point swing between two photos of the same person is normal. That is why the smartest use of this tool is testing several photos to find which version of yourself the algorithm rates highest, then using that one for dating apps, LinkedIn, etc.

Is the AI attractiveness test free?

Yes. The free scan runs the full 17-metric analysis and returns your score plus your highest and lowest scoring features. A full report with all per-metric values, percentile rankings, and a personalized improvement plan is available as a one-time upgrade for users who want the complete breakdown.

Want the gendered framing? See am I pretty. Curious about the other end? Run the am I ugly test. Want to compare specific photos? Try face rating AI.

RealSmile Research Team · Facial Analysis Specialists
Updated May 2, 2026
Based on 9 peer-reviewed sources
→ See our methodology

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