How do you actually come across? Get the honest read — and exactly what's worth changing.
Score Your Face on 17 Real Metrics
Free scan, under 30 seconds: your validated Face Score — the percentile checked against 1,566 human-rated faces — plus the one measurement of 17 that reads highest in your photo. Private, no signup.
For your most accurate score: straight-on · eyes level with the lens · even front light · neutral face · arm’s length away (rear cam + timer beats a close selfie)
What happens next
Free scan — your validated Face Score, 1 of your 17 measurements — your strongest — and a retake coach if the photo is underselling you. Free accounts get 5 scans a day.
Full report — every measurement, your weakest metric with fixes + your 30-day plan is the paid unlock: $14.99 + 3 days of Pro, activated after checkout. We show the price here so you never meet it for the first time at a paywall. See a sample
Private — Your photo is processed and deleted right away. Nothing is kept unless you choose to save it.
What is the looksmaxxing test and what does it measure?
The RealSmile looksmaxxing test measures 17 facial-geometry metrics — symmetry, canthal tilt, FWHR, gonial angle, midface ratio, and 12 more — from a single selfie as a Measurement Map of your features (real readings, not an attractiveness rating; Grammer & Thornhill 1994; Farkas 1994; Carré & McCormick 2008), and returns your validated Face Score free — a percentile cross-validated at r ≈ 0.8 against 1,566 human-rated faces. Your photo is processed and deleted right away. Nothing is kept unless you choose to save it.
✓17 distinct measurements — a map of your features, not a single black-box score
✓Free baseline; 5-page softmaxxing report at /face-report
✓Validated Face Score free with every scan (r ≈ 0.8 vs human ratings)
17facial-geometry metrics
r ≈ 0.8vs human ratings
1,566human-rated faces
<30 sfree scan, no signup
What is looksmaxxing?
Looksmaxxing is the systematic, evidence-based improvement of physical appearance by optimizing the three structural predictors of facial attractiveness supported by meta-analysis, symmetry, averageness, and sexual dimorphism (Rhodes, 2006), plus controllable presentation factors such as grooming, skincare, fitness, posture, and photo technique.
The term originated in online self-improvement communities and has gone mainstream on TikTok, Reddit, and YouTube as people realize that small, consistent changes to grooming, skincare, fitness, and photo presentation have outsized effects on first impressions.
First impressions of attractiveness, trustworthiness, and competence form from a face in roughly 100 milliseconds (Willis & Todorov, 2006), and a lot of it is under your control.
The looksmaxxing approach is divided into two categories. Softmaxxing includes non-invasive improvements like skincare routines, hairstyle optimization, eyebrow grooming, fitness, posture correction, and learning to photograph well. Hardmaxxing involves surgical or medical procedures. This looksmaxxing test — often shortened to the looksmax test or spelled the looksmaxing test — focuses entirely on softmaxxing, actionable improvements anyone can make.
The goal of this test isn't to rate your attractiveness in any absolute sense. Instead, it gives you objective facial measurements compared to population averages, then tells you what you can actually improve through grooming, fitness, and photo technique.
Most looksmaxxing tests are golden-ratio "beauty calculators" that never check their looksmaxxing rating against how real people actually rate faces. RealSmile is the only one that does.
Your Face Score — free with every scan — is a validated percentile: it agrees with averaged human ratings at r ≈ 0.8, cross-validated against 1,566 human-rated faces in the SCUT-FBP5500 academic benchmark (60 ratings per face). See the full validation →
Is this looksmax test accurate — can an app really rate your looks?
This is the question that actually matters when you take a looksmax test, and it deserves a real answer rather than a marketing one.
Most looksmaxxing calculators are golden-ratio tools: they compare your proportions to a fixed template and never check whether that template matches how real people rate real faces.
On the standard academic benchmark, that golden-ratio approach reaches only about r ≈ 0.55–0.65 correlation with human ratings — which is why a "beauty calculator" can hand you a harsh looksmaxxing rating no actual person would agree with.
RealSmile's Face Score is measured differently. We ran our production pipeline against SCUT-FBP5500 — 5,500 face photos, each independently rated for attractiveness by 60 people — using 5-fold cross-validation, so every number is scored on faces the model never saw while fitting.
The Face Score reaches a cross-validated r ≈ 0.8 against the averaged human ratings. For reference, the best published deep-learning models on this benchmark reach r ≈ 0.85–0.90.
We hold the geometry to the same test. Our original 17-metric blend failed it — no positive correlation with human ratings (r ≈ −0.33, slightly anti-correlated) — so we published that finding and stopped presenting the 17 metrics as an attractiveness number.
That is why the geometry is a Measurement Map, not a looksmax verdict. To our knowledge, no other looksmaxxing test publishes any validation of its scoring against human ratings at all.
Method
r vs human ratings
Golden-ratio "beauty calculators"A fixed template, never checked against how real people rate real faces — can hand you a harsh rating no actual person would agree with
≈ 0.55–0.65
Our original 17-metric blendFailed the test (slightly anti-correlated), so the 17 metrics are presented as a Measurement Map, not a looksmax verdict
≈ −0.33
RealSmile Face Score5-fold cross-validated on SCUT-FBP5500 (5,500 faces, 60 raters each), scored on faces the model never saw while fitting
≈ 0.8
Best published deep-learning modelsThe ceiling on the same benchmark, for reference
≈ 0.85–0.90
What your looksmax score actually means
A looksmax score is a position, not a verdict. Your scan gives you two different outputs, and reading them correctly is the whole point:
Your Face Score — the number to trust
A validated percentile that tells you where a still photo of your face lands against a large population. This is the output built to answer "how do I rate", because it is cross-validated at r ≈ 0.8 against how real people rate faces.
A percentile is a position, not a judgment of your worth — and most people who take a looksmaxxing test land closer to the middle than they fear.
The 17-metric Measurement Map — features, not a rank
Canthal tilt, FWHR, symmetry, jawline angle, midface ratio and 12 more: a map of how each feature measures against population norms. It is not an attractiveness rating. We tested blending the 17 metrics into a single number and it did not predict how people rate a face (r ≈ −0.33), so we present it as a map.
Use it to find the one or two metrics scoring below their ideal range — the specific, usually softmaxxable things worth your attention. What each of the 17 measurements means →
A looksmax score is a position, not a verdict.
The honest read for almost everyone who takes this looksmax test: your looks are probably more average — in the statistical, middle-of-the-distribution sense — than your inner critic claims, plus one or two specific things you have been over-weighting. That is a far more useful, and more hopeful, answer than a single looksmaxxing rating out of 100.
Looksmax score — AI vs real people, on the same photo
When people take a looksmax test, half of them want a validated number and half want real people to weigh in. RealSmile is the only tool that gives you both on the same photo.
Your Face Score is the validated AI read (r ≈ 0.8 vs human ratings); your Human Score is the average of 10+ real people rating your photo — free, numbers only, moderated, and deletable anytime.
Put them head-to-head and the comparison is genuinely useful. If the AI and the crowd both land you in the same band, that is a strong, stable signal about how a still photo of you reads.
If they diverge, it usually points at something specific — an expression or lighting quirk the model reads differently than a person does — worth fixing before you use the photo for dating apps or LinkedIn. No golden-ratio looksmaxxing calculator can offer this, because none of them have a validated number or a real crowd behind it.
Keep reading
More on looksmaxxing — community vocab, FAQ, science & methodology▾
Looksmaxxing rating, looksmax score, looksmax test — the same number
People search for this in a dozen ways — a looksmaxxing rating, a looksmaxing rating (one x), a looksmax rating, a looksmaxing test, a looksmax attractiveness test, a looksmax score. They all mean the same thing here: one photo returns one 0-100 number. And to answer the question behind the most common phrasing of all — yes, this is a free looksmaxxing rating, with no signup and no credits.
Searchers also arrive with community tier labels (LTN/MTN/HTN/Chad); below is how those translate to RealSmile's score — described honestly, not as a hierarchy. Laid end to end those same bands are the PSL scale, which maps each label to its percentile.
Score band
Community label · what it means here
0–35
"LTN" (low-tier normie)Low geometry-conformance read on first-photo metrics. Usually 1-2 photo/lighting variables depressing the read; not a structural ceiling.
36–55
"MTN" (mid-tier normie)Median band — most uploaders sit here. Closest band to population mean; small situational lifts (lighting, posture) shift you up notably.
56–70
"HTN" (high-tier normie)Upper-quartile read. Photo polish + outfit/setting consistency tends to be the lever, not face changes.
71–85
"Chadlite" / "Stacy-lite"Top-decile composite read. Diminishing returns on face changes; situational presentation is the multiplier.
86–100
"Chad" / "Stacy"Top ~2-5% composite read on RealSmile sample. Sample-level ceiling, not a clinical ranking; outliers in this band are rare.
Sample looksmax scorecard (5-axis output)
Illustrative output. Numbers below are a sample profile, not your data.
Compares left and right sides of your face across jawline, eyes, brows, and mouth.Population average is ~85%. Highly symmetric faces score 92%+.
Canthal Tilt
The angle of your eye corners. Positive (upward) tilt at the outer corners creates the "hunter eyes" look associated with alertness and attractiveness.Ideal canthal tilt: 4-7°.
FWHR (Facial Width-to-Height Ratio)
How wide your face is relative to midface height.FWHR ratios of 1.8-2.0 are linked with perceived dominance and attractiveness in peer-reviewed research.
Facial Thirds Balance
Whether your forehead, midface, and lower face are proportionally equal.The classical ideal is equal thirds (33/33/33).
Eye Spacing
The distance between your eyes relative to eye width.The classical ideal is exactly one eye-width between the eyes (ratio of 1.0).
Jawline Angle
The slope of your jaw silhouette from the front. This is our own landmark measure, NOT the surgical ‘gonial angle’ — that one is taken from the side and the two are not comparable.Across 1,991 real scans ours centres near 180° (p10–p90: 175–186°). We do not print your number: a front photo cannot support telling you to change it, so the report names this metric as needing a profile shot instead of guessing.
Nose Proportion
Nose width as a percentage of total face width.The classical ideal is 22-26%.
Lip Ratio
The balance between upper and lower lip fullness.A slightly fuller lower lip (ratio of 0.5-0.8) is considered ideal.
Midface Ratio
The compactness of your midface region.A shorter midface (0.42-0.48) is associated with youthful, attractive proportions.
Hunter Eye Index
Eye width-to-height ratio. More elongated, narrow eyes (2.8-3.5) are the "hunter eye" shape.This is one of the most popular metrics in looksmaxxing communities.
What the looksmax report includes
What's measured: a per-metric breakdown of the 17 facial-geometry metrics — each with your measurement, its ideal range, and an honest fixability tier.
What the score means: your validated Face Score percentile plus the Measurement Map, so you can see which specific metrics sit below the population median.
What the fix list covers: day-1-to-day-7 actions tied to your weakest metrics, plus a 4-week structured plan built around your lowest categories.
You can inspect the entire thing before scanning — the full sample looksmax report is rendered from the same metric definitions the live product uses, with example data.
How to improve your looksmax score (softmaxxing guide)
Most facial metrics are influenced by both genetics and controllable factors. Here are the highest-ROI softmaxxing improvements:
Lever
Why it works
Lower body fat
Getting to 12-15% body fat (men) or 18-22% (women) reveals jawline definition, cheekbone structure, and improves nearly every facial metric. This is the single most impactful softmaxxing change.
Eyebrow grooming
The highest-ROI grooming change. Clean, shaped brows frame the eye area, can shift perceived canthal tilt, and improve facial symmetry in photos. Directly impacts 3 metrics.
Skincare routine
A simple routine (cleanser, moisturizer, SPF) improves skin texture and clarity, which affects how every feature photographs. Visible results in 4-8 weeks.
Photo technique
Camera angle, lighting, and expression have massive effects. Natural light from the side, camera at eye level, and a genuine smile can shift your perceived looksmax score substantially.
Hairstyle optimization
The right hairstyle can rebalance facial proportions — adding width to a narrow face (improving FWHR), covering a high forehead, or framing the eye area differently.
Posture
Forward head posture compresses the jawline and creates a double chin effect. Good posture lengthens the neck and defines the jaw angle.
Looksmaxxing test FAQ
What is looksmaxxing?
Looksmaxxing is the practice of using objective facial-geometry analysis to identify the highest-leverage appearance improvements, then acting on them through grooming, skincare, fitness, posture, hairstyle, and photo conditions. Modern looksmaxxing measures 17 facial metrics from your photo (canthal tilt, FWHR, jawline angle, symmetry, midface ratio, golden ratio convergence, and 11 more) and ranks fixes by points-recoverable per hour of effort. RealSmile focuses entirely on softmaxxing, the safe non-surgical path.
What does this looksmaxxing test measure?
This looksmaxxing test measures 17 objective facial metrics using AI landmark detection: facial symmetry, canthal tilt, facial width-to-height ratio (FWHR), facial thirds balance, eye spacing, jawline angle, gonial angle, nose proportion, lip ratio, midface ratio, hunter eye index, philtrum length, and 5 more proportional ratios. These are mathematical measurements from your facial geometry, not subjective ratings. Results return in 30 seconds as 0-100 scores showing how close each measurement sits to its ideal range (proximity to an ideal, not a population percentile). Every scan also returns your validated Face Score free — a separate percentile, cross-validated at r ≈ 0.8 against 1,566 human-rated faces, that estimates how people rate your photo.
How accurate is this looksmaxxing test?
This test returns identical numbers for the same photo; different photos of you can score differently (lighting and angle matter). The geometric metrics (canthal tilt, FWHR, symmetry, golden ratio convergence) are objective math from 68 facial landmarks. What AI cannot do is tell you how attractive any specific person will find you, because attraction is subjective. Use the metrics for photo optimization and self-improvement, not as a verdict.
Is this looksmaxxing test free?
Yes. The free scan gives you your validated Face Score — a percentile checked against 1,566 human-rated faces — plus your strongest metric (1 of 17 revealed), with no signup required (free scans are capped at a real 5 per day; 15 per day with the report, unlimited on Pro). A detailed premium report with all 17 metrics, your weakest metric and its fixes, the personalized 30-day plan, and the 7-9 page PDF is available for a one-time $14.99 payment (no subscription). The free tier exists so you can sanity-check the system before paying anything.
Is looksmaxxing safe?
Softmaxxing is completely safe and is the only path this tool recommends. Softmaxxing covers grooming, skincare, fitness, posture, hairstyle, expression coaching, and photo conditions, all of which respond to behavior change inside 30 days with no medical risk. Hardmaxxing involves surgical procedures, which we do not endorse, recommend, or score. Focus on what is actionable and healthy.
What is canthal tilt?
Canthal tilt is the angle of your eye corners relative to horizontal. A positive (upward) tilt at the outer corners is associated with a more alert, attractive eye area, often called "hunter eyes" in the looksmaxxing community. The ideal canthal tilt range is 4 to 7 degrees positive. Negative tilt (corners drooping) reads sleepy or sad; neutral reads average; positive reads alert.
What is FWHR?
FWHR stands for Facial Width-to-Height Ratio. It measures how wide your face is relative to your midface height, calculated as cheek-to-cheek width divided by brow-to-lip height. Research from Geniole, Carre, and McCormick (PMID 26181579) links FWHR ratios of 1.8 to 2.0 with perceived dominance in male faces. It is one of the most studied facial metrics in looksmaxxing.
What are hunter eyes?
Hunter eyes are eyes that are more elongated and narrow with a positive canthal tilt, where the outer corner sits higher than the inner corner. The hunter eye index (eye width-to-height ratio) of 2.8 to 3.5 is considered ideal. The opposite is "prey eyes": rounder, neutral or negative canthal tilt, often reading younger or more childlike. Hunter eyes are one of the most discussed looksmaxxing metrics.
What is softmaxxing vs hardmaxxing?
Softmaxxing refers to non-invasive improvements: skincare, grooming, hairstyle, fitness, posture, and photo techniques. Hardmaxxing involves surgical procedures: jaw surgery, rhinoplasty, fillers, bone implants. This looksmaxxing test focuses entirely on softmaxxing because softmaxxing is safe, reversible, and ships visible results inside 30 days. Hardmaxxing carries surgical risk and is not endorsed or scored by this tool.
What is a good looksmaxxing score?
The score is a 0-100 geometry-conformance measure — how close your facial measurements sit to their ideal ranges — not a population rank or percentile. As a rough guide, 70+ is strong conformance and 85+ is very strong conformance. The number itself is not the goal; the goal is identifying which specific metrics have the most room for improvement and which fixes ship the most improvement per hour of effort. (Percentile language is reserved for your separate, validated Face Score — free with every scan.)
Do you save or upload my photos?
On desktop, all facial-landmark detection runs in your browser using client-side AI (TensorFlow.js) — your photo is never stored. On mobile, your photo is processed in memory by our scan server and deleted immediately after the landmarks are measured — never written to disk, never stored, and never used to train any model. Only the numeric scores are saved against your account so you can re-open the PDF later. Private by design on every device.
How is this different from QOVES or Photofeeler?
RealSmile measures 17 objective facial metrics in 30 seconds — the scan and your validated Face Score are free, and the full report is a one-time $14.99 — on desktop the scan runs in your browser, on mobile your photo is processed in memory and deleted instantly (never stored). QOVES charges $150 per year for ongoing human consults. Photofeeler runs human votes that cost $20 to $100 per photo with a wait queue and no metric breakdown. Same underlying landmark math the academic literature uses, no subscription, no voter delay, no scheduling.
What makes a good photo for this test?
A good photo for this test is front-facing, well-lit, with a neutral expression. Use natural daylight (avoid harsh overhead light or heavy shadow), hold the camera at pupil height, and keep your face fully visible. Avoid sunglasses, heavy filters, extreme angles, group shots, and photos under 1024 pixels on the long edge. The system handles JPEG, PNG, HEIC, and WEBP.
Does this work for all ethnicities?
Yes. The analysis measures geometric ratios (symmetry, proportions, angles) that are universal across all ethnicities. The reference dataset includes diverse faces from every background. The metrics are mathematical measurements, not culturally biased beauty standards. Per-metric reliability is reported on the research page.
Is there a looksmaxxing test for women?
Yes. This looksmaxxing test works for women too. While "looksmaxxing" originated in male-focused communities, facial metrics like symmetry, canthal tilt, and golden ratio proportions apply universally. Select "Female" during analysis for gender-calibrated benchmarks, beauty archetypes, and recommendations tailored to women, including gender-typical photo conventions on dating apps and LinkedIn.
How often should I retake the test?
Retake the test every 30 days if you are actively working on improvements. This cadence matches how long softmaxxing changes (skin clarity, posture, expression, hairstyle, lighting practice) take to surface visibly in photos. Use similar photo conditions (same lighting, same time of day, same camera height) each time so the comparison is apples-to-apples.
Does mewing work?
Mewing (resting the tongue flat against the palate) has no peer-reviewed evidence for changing adult bone structure. The jaw and midface stop growing after the late teens, so mewing cannot move them. What people see in before/after photos is usually posture, lighting, lower body fat, and a more engaged expression, all of which are real softmaxxing levers. Focus on those instead of expecting skeletal change.
How can I improve my jawline naturally?
The fastest natural jawline improvements are reducing body fat (the jaw looks sharper at lower facial fat), correcting head posture (chin slightly down and forward at eye-level camera height), reducing sodium and alcohol to limit water retention, and shooting photos in directional light that casts a shadow under the jaw. These change the visible jawline in weeks without surgery. Bone structure itself does not change in adults.
What is the golden ratio for faces?
The facial golden ratio refers to proportions near 1.618 (phi) between facial features, such as face length to width or the spacing of the eyes, nose, and mouth. Research links closer convergence to phi with higher average attractiveness ratings, but it is one signal among many, not a verdict. Symmetry, canthal tilt, and skin quality often move perceived attractiveness more than golden-ratio convergence alone.
What is a good jawline (gonial) angle?
The gonial angle is the angle at the corner of the jaw, between the jaw bone and the lower jaw line (our test measures a related jaw-slope from landmarks, not the anatomical gonial angle itself). A defined male jawline typically falls near 120 to 130 degrees; a softer or more obtuse angle reads less defined. Lower facial fat and correct posture make an existing gonial angle look sharper in photos. The angle itself is bone structure and does not change naturally in adults.
What is a PSL score?
A PSL score rates overall facial attractiveness on a 1 to 10 scale, named after the looksmaxxing forums (PUAHate, Sluthate, Lookism) where the rating culture originated. It is a subjective community summary rather than a measured value. Objective tools instead score specific geometric metrics (symmetry, canthal tilt, FWHR, jawline angle) that you can actually act on, which is more useful than a single 1 to 10 number.
Does looksmaxxing actually work?
Softmaxxing works and is well supported: grooming, skincare, body composition, posture, hairstyle, expression, and photo conditions measurably change how attractive you look in photos within 30 days, with no medical risk. Hardmaxxing (surgery) carries real risk and is not endorsed here. The honest framing is that looksmaxxing optimizes presentation and the controllable inputs, not your underlying bone structure.
How do I find my most attractive photo?
Upload several candidate photos and compare their objective metric scores rather than guessing. The strongest photo usually has even, directional lighting, the camera at pupil height, a slight forward chin, a genuine Duchenne smile (a real smile that reaches your eyes) or relaxed confident expression, and a clean background. People are poor judges of their own best photo, which is why a metric comparison beats picking by feel.
What is the average face attractiveness score?
There is no single "average attractiveness score" — the 0-100 number RealSmile shows is a geometry-conformance measure (how close your measurements sit to their ideal ranges), not an attractiveness rating or a population percentile. Most geometry scores cluster in a mid band. If you want an estimate of how people actually rate a photo, that is your separate, validated Face Score — free with every scan, a percentile cross-validated at r ≈ 0.8 against 1,566 human-rated faces.
Is the looksmax test the same as the looksmaxxing test?
Yes. "Looksmax test," "looks max test" (two words), and "looksmaxing test" (one x) are just shorter or alternate spellings of the looksmaxxing test — whether you search the full name or just "test looksmax," they all refer to the same RealSmile scan. Some people also search for it as a looksmax attractiveness test; that is this same tool, and the attractiveness-calibrated part is specifically the validated Face Score (checked against human ratings), not the geometry readout. People drop the extra "x" or the "-ing" when searching, but it is one and the same: a single photo is measured against 17 objective facial-geometry metrics (symmetry, canthal tilt, FWHR, jawline angle, and more — a Measurement Map of your features) and you get your validated Face Score — a percentile checked against 1,566 human-rated faces — with your top fixes.
How does the free looksmax test work?
The free looksmax test (also spelled looksmaxing test) works in about 30 seconds. You upload one front-facing photo, AI detects 68 facial landmarks, and 17 face measurements are calculated from your facial geometry — no signup, no voting, no wait queue. Your validated Face Score and your strongest metric are free (1 of 17 revealed; 1 scan a day without an account, 5 a day with a free one); the full 17-metric breakdown, your weakest metric with fixes, and the PDF are a one-time premium unlock. On desktop, analysis runs in your browser. On mobile, your photo is processed in memory by our scan server and deleted immediately after the landmarks are measured — never written to disk. By default nothing is kept: no photo, no copy, nothing used to train anything. There are three exceptions and all three are your choice — you can save a scan photo to your own account, you can submit a photo to the community rating pool, and the paid Audit keeps a thumbnail so you can reopen your report. Each one is deletable, and deleting removes the file itself, not just the link to it.
What is a good looksmax score, and what does mine actually mean?
The 0-100 number this looksmax test shows is a geometry-conformance measure — how close your 17 measurements sit to their ideal ranges — not a population rank; as a rough guide, 70+ is strong conformance. The number to actually trust for "how do I rate" is your validated Face Score: a percentile cross-validated at about r ≈ 0.8 against 1,566 human-rated faces (SCUT-FBP5500). A percentile is a position, not a verdict — most people who take a looksmaxxing test land closer to the middle than they fear, and a low read on one photo usually means a weak photo (flat light, forced expression, bad angle), not a low ceiling. Read the ranking between your own photos, not the absolute number.
Is the looksmax test accurate — can an app really rate my looks?
RealSmile is the only looksmax test we know of with a published validation. Your Face Score is cross-validated at about r ≈ 0.8 against SCUT-FBP5500 (1,566 faces, each rated by 60 people). Golden-ratio and PSL-style beauty calculators correlate only about r ≈ 0.55-0.65 with human ratings, so they can hand you a harsh looksmaxxing rating no real person would agree with. We held our own 17-metric geometry to the same test and it failed — no positive correlation (r ≈ −0.33, slightly anti-correlated) — so we present the 17 metrics as a Measurement Map, not an attractiveness rating. What no app can do is tell you how attractive a specific person will find you. Full validation at /research-base#our-validation.
Can real people rate my looksmax score too, not just AI?
Yes. Alongside the instant AI Face Score, RealSmile offers a free Human Score at /contribute — real people rate your photo and the average of 10+ votes becomes your score (numbers only, moderated, delete anytime). It is the only place you can put a validated AI looksmax rating and a real human verdict head-to-head on the same photo.
What is the Looksmax Report?
The Looksmax Report is the one-time upgrade to this free looksmax test — a document you own forever, not a subscription. It contains the full 17-metric Measurement Map breakdown (the free scan shows your validated Face Score plus your strongest metric), a fixable-vs-photo diagnosis per metric so you know what is a real feature and what is just the photo, a prioritized 30-day plan built around your weakest metric, and a clinical-style PDF. It also triples your scan limit to 15 scans a day and includes 3 free days of Pro. The price shown on this page before checkout is the price charged.
Is there a looksmax chart I can compare my score against?
Yes — your result is plotted on a looksmax chart: a percentile bell curve that shows where your validated Face Score lands against the population, with marked bands from below-average through above-average. Reading the chart honestly matters: because it is a real distribution, most people land near the middle of the curve — a mid-band placement is the norm, not a failure. The 17 individual measurements are shown separately as a Measurement Map rather than being averaged onto the chart, since geometry conformance and rated attractiveness are different things.
More than one scan
Your results live in a dashboard, free
Every scan savedYour scores build a progress graph over time — not a one-off number.
Human ScoreReal people rate your photo (opt-in, anonymous) — a second signal next to the measured one.
Weekly quests & streaksTips, votes, and check-ins that keep the work honest week to week.
One tap creates your free account right after your scan — nothing extra to fill in.
The science · 17 metrics explained · what this test can't measure▾
The science behind our looksmaxxing test
Facial analysis tools like this one are built on decades of peer-reviewed research in facial geometry, evolutionary psychology, and computer vision. The metrics measured here aren't arbitrary — each one has an established research foundation linking it to perceived attractiveness, health signaling, or social dominance perception.
Facial Width-to-Height Ratio (FWHR) was identified as a predictor of perceived dominance in a 2008 study by Carré and McCormick in the Proceedings of the Royal Society B. Higher FWHR correlates with perceived assertiveness and leadership presence. Separately, a 2010 study found FWHR also predicts financial performance in CEOs.
Canthal tilt — the angle of the outer corners of the eyes relative to the inner corners — emerged as a significant attractiveness predictor in studies analyzing what distinguishes conventionally attractive faces. A positive canthal tilt (outer corners higher than inner) correlates strongly with ratings of attractiveness in both men and women.
Facial symmetry has been linked to developmental stability and genetic health since the 1990s. Research by Randy Thornhill and Steven Gangestad found that more symmetrical individuals are rated as more attractive and report more dating and relationship success on average. The effect is real but modest — asymmetry alone doesn't determine attractiveness.
Jawline definition (measured via jaw angle and chin projection) signals hormonal health — specifically testosterone exposure. A well-defined jaw is consistently rated as masculine and attractive in male faces, and as strong and confident in female faces. This measurement differs from most online “jaw tests” in that it uses actual geometric angles rather than subjective ratings.
17 looksmaxxing test metrics explained
Metric
What it measures
Facial Symmetry
Left-to-right balance across all major features.Measured as a percentage deviation — 100% is perfect symmetry, which no face actually achieves.
Canthal Tilt
The angle of the outer eye corners relative to the inner corners. Positive = outer higher than inner (associated with attractiveness).Measured in degrees.
FWHR
Facial width-to-height ratio. Width measured at cheekbones, height from upper lip to brow.Higher values correlate with perceived dominance.
Jawline Angle
The angle of the jaw from ear to chin.A sharper angle indicates a more defined jawline; a wider angle indicates a softer, rounder jaw shape.
Hunter Eyes
Composite score based on canthal tilt, eyelid exposure (how much of the iris is visible), and brow position.High scores = hooded, almond-shaped eyes.
Facial Thirds
Division of the face into three equal horizontal thirds (forehead, midface, lower face).Ideal balance is roughly 33%/33%/33%.
Midface Ratio
The height of the midface (brow to upper lip) relative to total face height.Shorter midfaces are generally rated as more attractive.
Eye Spacing
Distance between eyes as a fraction of face width.Ideal eye spacing follows the golden ratio principle — each gap equals one eye width.
Nose Proportion
Nose width relative to face width and nose length relative to midface height.Both contribute to perceived facial harmony.
Lip Ratio
Upper-to-lower lip thickness ratio.Most attractiveness research points to a ratio of approximately 1:1.6, with a fuller lower lip.
Brow Arch
The curvature ratio of the brow relative to its width.A moderate arch is associated with an alert, expressive appearance. Measured as a curvature ratio.
Philtrum Ratio
Length of the philtrum (the groove between nose and upper lip) as a fraction of the lower face.Shorter philtrums are generally rated as more attractive.
Chin Proportion
Chin height as a fraction of the lower third of the face.Balanced chin proportion contributes to overall facial harmony and profile aesthetics.
Brow-Eye Proximity
The vertical distance between the brow and the upper eyelid, measured as a ratio.Closer brow-eye distance is associated with a more intense, defined eye area.
Jaw Taper (V-Shape)
Ratio of jaw width to chin width.A higher taper indicates a more V-shaped jawline — tapered toward the chin — which is a common looksmaxxing goal.
Golden Ratio Score
An experimental phi-proportion measure comparing multiple facial proportions against the golden ratio (1.618).We’re recalibrating this one — treat it as directional.
Orbital Tilt Symmetry
How symmetrically the eye sockets are angled — comparing the orbital tilt of the left and right eye.High asymmetry here is one of the most noticeable facial imbalances.
Limits
Important context: what this test can't measure
Facial geometry is one component of appearance — and appearance is one component of attractiveness. This test measures structural facial metrics objectively. It does not measure expression quality (see our Smile Analyzer), skin quality, grooming, style, body language, voice, personality, or any of the dozens of other factors that determine how attractive someone actually is in person or in photos.
Many people with “below average” scores on individual metrics are considered highly attractive by others. Many people with high scores are not. The research correlations are real but modest — treat this as useful self-knowledge, not a verdict.
The most actionable insights from this test are usually the ones that point to improvable factors: expression quality, photo lighting, posture, and — for longer-term goals — areas where lifestyle changes like training, sleep, and skincare can make meaningful differences.
If you want a tool-comparison view of where this engine sits versus other consumer raters, our AI face rating tool deep-dive shows the reproducibility checks separating real measurement from randomized entertainment.
And if you want a plain-English glossary, what each of the 17 measurements means explains, metric by metric, what each number reads from your photo, what it isn’t, and whether you can change it.