Lookmax Analyzer logo

How Is Your Face Score Calculated? (AI Attractiveness Rating Explained)

2 min read

By Lookmax Analyzer Team — Updated Feb 27, 2026

How Is Your Face Score Calculated?

This AI face analysis tool uses 478 facial landmarks to calculate a structured attractiveness score based on symmetry, facial ratios and jawline geometry.

Understanding how your face score is calculated helps you interpret your results more accurately.

Overview#

When you upload a photo, our AI evaluates your face across five key categories:

Jawline
Symmetry
Eyes
Cheekbones
Proportions

Each category receives a score between 0–100, and your overall face score is calculated as a weighted average.

Your score reflects structural balance — not personality, confidence, or individuality.
Facial landmark detection example showing AI reference points

478 facial landmarks detected by our AI model


What We Measure#

1. Jawline

We analyze:
  • Jaw angle
  • Jaw width relative to face width
  • Chin projection

Sharper and well-balanced jaw structures typically increase perceived facial definition.


2. Symmetry

Facial symmetry is one of the most studied traits in attractiveness research. We measure:

  • Eye alignment
  • Brow positioning
  • Jaw cant
  • Mouth centering
Perfect symmetry does not exist in nature. Minor asymmetries are completely normal.

3. Eyes

We evaluate:
  • Eye size ratio
  • Eye spacing ratio
  • Eye openness
Ideal eye spacing ratio diagram used in facial analysis

Balanced eye spacing is typically close to one eye-width apart


4. Cheekbones

Assessed by:
  • Cheek width
  • Taper
  • Midface prominence

Higher and more defined cheekbones often enhance midface structure.


5. Facial Proportions

Inspired by classical proportion theory:
  • Facial thirds balance
  • Vertical harmony
  • Horizontal alignment
Harmony matters more than perfect mathematical ratios.

How Scoring Works#

Our AI facial attractiveness algorithm follows four steps:
  1. Landmark detection (478 facial points)
  2. Ratio and angle calculation
  3. Comparison to aesthetic reference ranges
  4. Smoothed score generation (0–100 scale)

Our model is based on modern facial landmark detection systems used in computer vision research.

Scores are distributed along a curve to avoid unrealistic clustering.

Scores between 70–80 usually indicate balanced structure. Scores above 85 suggest exceptional harmony.


What Is a Good Face Score?#

Here's how scores generally break down:
85+
Exceptional structural harmony
70–84
Balanced and attractive
55–69
Average with improvement potential
<55
Noticeable imbalance areas

Most users score between 60 and 80. Remember: structural analysis is only one dimension of attractiveness.


Category Weightings#

Weights vary based on your selected goal:
CategoryMasculineFeminineBalanced
Jawline30%22%28%
Symmetry18%22%22%
Eyes20%24%20%
Cheekbones20%20%20%
Proportions12%12%10%

Additionally, bonus points can be earned from: lip ratio, midface ratio, eye depth, canthal tilt, and chin ratio.


How Accurate Is AI Face Analysis?#

Accuracy depends heavily on:
  • Lighting
  • Camera angle
  • Facial expression
  • Lens distortion
  • Image resolution
Comparison of good lighting vs poor lighting in face analysis

Good lighting (left) vs poor lighting (right) - natural window light works best

2D photo analysis cannot perfectly measure depth. For best results, use straight-on photos in natural lighting.


Best Practices for Accurate Results#

To maximize scoring accuracy:
  • Use natural window lighting
  • Keep a neutral expression
  • Face the camera directly
  • Avoid wide-angle lens distortion
  • Remove glasses

Frequently Asked Questions#

What is considered a good face score?
Scores between 70 and 80 are generally considered balanced and attractive.
Can I improve my face score?
Yes. Grooming, posture, skincare, hairstyle, and better photography can improve perceived structure.
Why did my score change between photos?
Angle, lighting and facial expression significantly affect ratio calculations.
Do you store my photos?
No. All analysis runs locally in your browser.