Face Rating Test
Upload a photo to get a 1-10 face rating in seconds. Our free AI face rating tool blends symmetry, golden-ratio proximity, canthal tilt, jaw definition, and eye harmony into one score — with a percentile and full breakdown. No sign-up, fully private.
How the Face Rating Test Works
Four steps from photo to rated result — all processed locally on your device.
Upload or take a photo
Upload a clear, front-facing photo in natural light, or use your device camera directly in the browser.
AI maps 478 facial landmarks
MediaPipe Face Landmarker runs entirely in your browser and locates 478 precise points across your face — without uploading any data.
Five independent signals are measured
Symmetry, golden-ratio proximity, canthal tilt, jaw definition, and eye harmony are each scored from 0-100 using established geometric reference ranges.
Your rating and percentile are shown
The five signals are averaged into a single 1-10 rating, with an estimated percentile against a modeled population curve.
What Goes Into Your Rating
Five equally-weighted, independently measured geometric signals combine into your final 1-10 rating.
Symmetry
Measures bilateral balance across mirrored landmark pairs — brows, eyes, cheeks, mouth corners, and jaw — relative to your face's true midline.
Golden Ratio
Checks how closely four facial ratios (face height/width, mouth/nose width, eye span/nose length, and more) sit to the classical golden ratio, 1.618.
Canthal Tilt
Measures the angle of the line from your inner to outer eye corner, scored against the commonly cited +2° to +8° "upturned" reference range.
Jaw Definition
Measures the gonion (jaw corner) angle formed between the ear and chin — a sharper angle generally reads as more defined.
Eye Harmony
Compares your inter-ocular distance (the gap between your eyes) to your face width, against a roughly 46% reference ratio.
How to Photograph Yourself
A good photo makes a significant difference to every signal measured.
Face the camera directly
Look straight ahead — chin level, not tilted up or down. Head rotation skews symmetry and canthal tilt readings.
Relaxed, neutral expression
Keep your mouth gently closed and your face relaxed. Big smiles and exaggerated expressions distort proportions.
Even, natural lighting
Soft daylight from in front is ideal. Shadows across one side of your face can skew the symmetry signal.
High-resolution photo
A clear, sharp photo gives the AI more precise landmark positions to work from.
Single face in frame
The analyzer works best with one person clearly visible, with no other faces partially in frame.
Hair away from your face
Hair covering your brows, eyes, or jawline can obscure the landmarks used for several signals.
Remember: this is five geometric measurements against modeled reference ranges, affected by angle, lighting, and expression — not a verdict on attractiveness, health, or worth. Treat it as entertainment.
Also try the Attractiveness Test
A different 0-100 score based on eye spacing, nose breadth, mouth width, face ratio & facial thirds
Frequently Asked Questions
Everything you need to know about the face rating test and how it works.
What is a face rating test?
A face rating test uses AI facial landmark detection to measure specific geometric properties of your face — like symmetry and proportion — against established aesthetic reference ranges, then combines them into a single rating, typically shown on a 1-10 scale.
How is this different from the Attractiveness Test?
The Attractiveness Test (/attractiveness-test) scores five facial proportion ratios — eye spacing, nose breadth, mouth width, face ratio, and facial thirds — on a 0-100 scale. This Face Rating Test uses a different set of five signals — symmetry, golden-ratio proximity, canthal tilt, jaw definition, and eye harmony — and presents the result as a single 1-10 rating with an estimated percentile. They measure different things and will often give different results for the same photo.
Is this scientifically accurate?
No. This is an illustrative, entertainment-focused tool. It measures real geometric properties of your face using real landmark detection, but the "ideal" reference ranges (golden ratio, canthal tilt range, etc.) are drawn from popular aesthetic literature, not a rigorous scientific consensus on attractiveness — which does not exist. The percentile is modeled against an assumed population curve, not real survey data.
Is my photo stored or shared?
No. All processing happens entirely in your browser using Google's MediaPipe Face Landmarker. Your photo never leaves your device and is not uploaded to any server.
What is canthal tilt?
Canthal tilt is the angle of the line running from the inner corner of your eye to the outer corner. A positive (upturned) tilt, often cited as +2° to +8°, is frequently referenced in beauty and cosmetic surgery discussions as aesthetically favored — though preferences vary widely across cultures and individuals.
What is the golden ratio in face rating?
The golden ratio (phi, approximately 1.618) is a mathematical proportion that recurs in classical art and architecture. Some facial-aesthetics frameworks claim that facial proportions closer to phi — like face height to width — are perceived as more harmonious, though this claim is debated in the scientific literature.
Why did I get a different score here than on the Attractiveness Test?
The two tools measure genuinely different geometric signals using different reference ranges and different math, so a different result is expected and normal. Think of them as two different opinions, not two measurements of the same thing.
Can my score change between photos?
Yes, significantly. Head angle, expression, lighting, camera distance, and even image compression can all shift the detected landmark positions and therefore every signal in this test. For a consistent result, use a similar front-facing, neutral-expression photo each time.
What does the percentile mean?
The percentile is an illustrative estimate of how your overall 0-100 score compares to a modeled population curve (assumed to be roughly centered around 62, with typical variation). It is not based on real survey data of other users' scores — treat it as a fun indicator, not a statistic.
Does this tool work for all face shapes and ethnicities?
The landmark detection itself works across face shapes and ethnicities. However, the "ideal" reference ranges used for scoring (golden ratio, canthal tilt, etc.) originate mostly from Western aesthetic traditions and may not reflect the full diversity of features and beauty standards worldwide — keep that context in mind when reading your result.
Is this the same as a PSL score test?
This tool covers the same general idea as what online communities call a "PSL score test" — rating facial attractiveness from a photo on a numeric scale — but it is not affiliated with any specific forum or rating system, and it does not use PSL's informal scoring conventions. It is a free, automated, geometry-based rating (symmetry, golden ratio, canthal tilt, jaw definition, and eye harmony) presented on a simple 1-10 scale, for entertainment purposes only.
Face Rating Scale: What the Tiers Mean
Your overall 0-100 score (divided by 10 for the headline rating) falls into one of five tiers, each modeled against an illustrative population curve.
| Tier | Score Range | What It Means |
|---|---|---|
| Exceptional | 85–100 (8.5–10.0) | Your symmetry, golden-ratio proximity, and feature balance all read near the top of the modeled curve. |
| Above Average | 70–84 (7.0–8.4) | Most of your measured signals land comfortably above the modeled midpoint. |
| Average | 50–69 (5.0–6.9) | Your signals sit close to the modeled midpoint — typical across most of the measured ranges. |
| Below Average | 30–49 (3.0–4.9) | A few signals sit outside the modeled target ranges — remember this is five geometric measurements, not a verdict. |
| Unique | 0–29 (0.0–2.9) | Your proportions diverge the most from the modeled targets — distinctive, memorable faces often do. |
This analyzer uses Google MediaPipe Face Landmarker to place 478 landmarks with sub-pixel accuracy, then computes symmetry, golden-ratio proximity, canthal tilt, jaw definition, and eye harmony directly from those points — all normalised against face width or inter-ocular distance so results are consistent across camera distances. Your photo never leaves your device — all computation runs locally in your browser.