Facial Brief

AI Attractiveness Test

Free AI face rater and score. Symmetry and proportions - plus separate jawline and face-shape measurements - from 478 facial landmarks, rated 0–100 with the formula shown in your browser.

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Symmetry, thirds, fifths and length-to-width measured on your own face, each placed among 37,520 scans. Built on your device in about a second.

How Attractive Am I? How This Test Answers It

A reproducible way to test facial harmony from a photo is to measure visible geometry instead of asking strangers or relying on an unexplained rating. This test maps 478 landmarks, scores bilateral symmetry and proportional balance from 0–100, and shows the formula. For face shape, proportions and every feature measured together, run the free AI face analysis. The photo processing runs in your browser: your photo is not uploaded for the free test, while derived scores are saved temporarily so your result link and optional report can work, and are also recorded in our usage analytics.

Treat the number as a private baseline, not a verdict - the point is knowing which measurable features drive your score, because those are the ones you can actually work on.

What Your Attractiveness Score Means on the Beauty Scale

Higher scores mean the photo's landmarks sit closer to this tool's selected symmetry and proportion targets. The bands below come from the same current thresholds used by the live result, so the explanation cannot disagree with the tier you receive:

87–100 - Showstopper

Top 5% - ahead of 95% of Face Report scans. Closest alignment across this tool's four geometry components.

84–86 - Standout

Top 15% - ahead of 85% of Face Report scans. Strong measured harmony, with only modest variation across components.

80–83 - Glow Up

Top 35% - ahead of 65% of Face Report scans. Above-average measured balance with identifiable areas of variation.

60–79 - Rising

Solid foundation, clear room to push higher. A mixed geometry profile where photo conditions and individual components matter more than the headline number.

Below 60 - Foundation

Distinctive features - biggest upside potential. Further from this tool's selected geometric targets. Distinctive faces and expressions can fall here without being less attractive to people.

How Your Score Is Calculated

Your score is a weighted sum of four geometric components. The components are informed by facial-aesthetics research, while the exact weights are this tool's disclosed production calibration - not a scientifically universal formula or a prediction of how any person will rate you.

Symmetry

35%

How closely paired landmarks on the left and right sides mirror across a fitted facial midline. Bilateral symmetry is widely studied in perceived attractiveness; 35% is this tool's disclosed product-formula weight, not a universal scientific constant.

Facial Thirds Balance

25%

How close the visible landmark window's upper, middle and lower bands sit to the median split of faces measured on this site, 16/44/40. The window starts at MediaPipe's upper-forehead landmark because the model cannot see the hairline, so the split is not the classical equal thirds. The reference is what photos like these usually read, not an ideal.

Facial Fifths Balance

25%

How the face divides horizontally into five eye-width segments - ear to outer eye, outer to inner eye (one eye width), inner-eye gap (one eye width), and so on across to the other ear. Fifths balance is a centuries-old canon for upper-face proportion.

Golden Ratio

15%

How closely your face length-to-width ratio matches phi (1.618), adjusted for the visible landmark window. It has the lowest weight because one length-to-width target captures less geometry than the bilateral and multi-section balance measures.

What Research Actually Says About Facial Attractiveness

Several decades of research have converged on a few well-supported findings about what predicts perceived attractiveness across observers and cultures.

What's well-supported

  • Symmetry - the most consistent predictor across studies (Rhodes, 2006).
  • Averageness - faces close to the population mean are rated more attractive (Langlois & Roggman, 1990).
  • Sexual dimorphism - gender-typical features (in cultural context).
  • Skin quality - clarity, texture, evenness of tone.

What an AI photo test misses

  • Expression and animation - a real smile predicts dating success more than perfect symmetry.
  • Voice and behavior - modulate perceived attractiveness substantially.
  • Cultural context - beauty standards vary across populations and eras.
  • Familiarity and warmth - strong predictors of attraction in real social contexts.

Limitations of AI Facial Analysis

Be honest with yourself about what this tool can and can't do

  • The aesthetic-ideal ranges come from cosmetic surgery literature with documented Eurocentric bias. Faces from other populations may score lower without being less attractive.
  • A static photo can't capture expression, animation, voice, or behavior - all major contributors to perceived attractiveness.
  • Lighting, angle, expression, and camera lens all change the score significantly. The tool is measuring the photo, not your face directly.
  • The score is mathematical distance from one aesthetic tradition. It is not a verdict on your appearance, your worth, or how others perceive you.
  • If a low score is making you feel bad, close the tab. This is a measurement, not feedback that should affect self-image.

Tips for Accurate Measurement

Front-facing, eye-level camera

Tilted angles distort vertical proportions and inflate apparent asymmetry. Hold the camera at eye level and roughly arm's length away.

Neutral expression

A relaxed, neutral expression gives the most stable measurement. Smiles dramatically alter mouth, cheek, and jaw landmarks and tend to lower the symmetry component.

Hair pulled back

Hair covering the hairline or jaw outline blocks landmark detection. Tie hair back so the full face contour is visible.

Avoid wide-angle selfies

Phone selfie cameras distort proportions, especially close to the lens. Use a back camera at arm's length, or have someone else take the photo from a few feet away.

Even, soft lighting

Strong shadows shift apparent feature edges and exaggerate asymmetry. Diffused front lighting (window light works well) gives the cleanest measurement.

Frequently Asked Questions

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.

Is this the same as a beauty test or a pretty test?

Yes - 'beauty test', 'pretty test', 'prettiness test', and 'attractiveness test' are different names people use for the same measurement. Whether you arrived asking 'how pretty am I?' or 'how attractive am I?', the tool runs identical geometry: 478 landmarks scored for symmetry and proportional balance on a 0–100 beauty scale. It measures the same things for every face and doesn't change its scoring based on gender.

Is this a beauty scanner? What does it scan?

It works like a beauty scanner in the sense that it scans a photo for measurable geometry - bilateral symmetry, facial thirds, facial fifths, and golden-ratio proximity - and turns them into one score. Unlike most beauty scanner apps, the scan happens in your browser (the free test never uploads your photo), and the formula behind the score is published on this page rather than hidden.

Can this rate my looks out of 10?

Yes - it rates your looks from one photo, but on a 0–100 scale rather than 1 to 10, because a finer scale can show which of the four measured components moved your number. Don't divide by 10 to get a 1–10 rating: this scale is strict near the top, so read the tier instead. 87+ is the top tier (Showstopper), 80+ means above-average measured balance, and 60–79 is a mixed profile where photo conditions matter more than the headline number. That tier is the honest 'out of 10' answer: a single 1–10 number from a stranger is an opinion, while this is a measurement of your photo.

Is this a looks rater? Can an AI rate me from a photo?

Yes. This is a free AI looks rater: upload one front-facing photo and it rates your face from 478 landmarks, with no login and no upload for the free test. 'Rate my looks', 'rate my face', 'rate me' - people arrive with different phrasings, and the tool runs the same geometry for all of them: symmetry, facial thirds, facial fifths, and golden-ratio proximity, scored 0–100 with the formula shown. Unlike a rate-me thread or a stranger's opinion, the same photo gets the same score every time under the same engine version.

Am I beautiful? Can a photo test actually tell me?

It can tell you something specific: how close the geometry in your photo sits to this tool's symmetry and proportion targets, scored 0–100. That is the measurable slice of 'am I beautiful?', and it is the same slice a beauty test or pretty scale test measures. It is not a verdict on beauty as a whole - warmth, expression, skin, style, and how you carry yourself all count, and none of them are in a landmark map. Use the number to learn which measured feature moves your score, then decide what, if anything, you want to do with that.

Am I hot? Am I handsome? Does the test work for men as well as women?

Yes, and it runs identical geometry for everyone. 'Am I hot', 'am I handsome', 'handsome test', 'handsome checker', 'how hot am I' - these all land on the same measurement: 478 landmarks scored for bilateral symmetry, facial thirds, facial fifths, and golden-ratio proximity. The scoring does not switch to a male or female scale, so a man and a woman with the same measured balance get the same number. What a photo test cannot see is most of what reads as 'hot' in person: build, voice, confidence, grooming, and the way you smile.

Is this a face card rating?

If you mean 'how strong is my face card', yes: it rates the face in one photo from measured geometry rather than opinion, and it gives you a face card to share with the score, tier, and standout feature on it. Because it is a measurement, it is a brutally honest face rating in one sense - the same photo always gets the same score - and a gentle one in another, because it never comments on anything it did not measure. Lighting, angle, and expression change the number, so a bad photo can make a strong face card look weak.

Is this a beauty calculator or a pretty scale test?

It is both in the sense people mean: a beauty calculator that turns landmark measurements into one 0–100 score, and a pretty scale test because the score maps onto the tier bands above. The difference from a typical looks calculator is that the formula is printed on this page (symmetry 35%, thirds 25%, fifths 25%, golden ratio 15%), so you can see exactly why the calculator gave you the number it did. No quiz questions and no self-report: only the photo is scored.

What is a face potential test, and does this show my potential?

A face potential test asks a different question from 'how attractive am I?': not where your face is today but how far it could move with realistic, non-surgical changes. The free score here is the baseline half of that. The full report is the potential half: it ranks the measured features by how much each one is holding your score back, gives a concrete non-surgical plan for the top levers (grooming, hair, brows, skin, styling), and shows a styling concept from your own photo so you can see the direction instead of guessing.

Is this an attraction test?

Not in the two-person sense. An attraction test usually means a quiz about whether someone is attracted to you, or whether you are attracted to them, and this page cannot answer that. It measures facial attractiveness from one photo: symmetry and proportion geometry scored 0–100. If you arrived looking for an attraction test with pictures, the closest thing here is scoring the photos you would actually use and reading which one measures best in even light with a neutral expression.

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, and are also recorded in our usage analytics. No login is required.

What is a good attractiveness score?

On the current calibrated scale, 80+ indicates above-average measured balance, 84+ 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.

Can this test rate my side profile?

Not from a front photo - the 478-point mesh needs to see both sides of the face, so a 90° profile is refused rather than scored badly. Use the side profile analyzer instead: it traces your silhouette and measures facial convexity, the nasolabial and nasofrontal angles, the E-line lip position and your nose profile type, drawn on the photo.

References

  • Rhodes, G. The evolutionary psychology of facial beauty. Annual Review of Psychology, 2006 - comprehensive review of symmetry, averageness, and sexual dimorphism in attractiveness.
  • Langlois, J. H., & Roggman, L. A. Attractive faces are only average. Psychological Science, 1990 - the foundational averageness study.
  • Little, A. C. Facial attractiveness. Wiley Interdisciplinary Reviews: Cognitive Science, 2014 - modern comprehensive review.
  • Lugaresi, C., et al. MediaPipe: A Framework for Building Perception Pipelines. Google Research, 2019.
  • Farkas, L. G. Anthropometry of the Head and Face. Raven Press, 1994.

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