COMPARE THE METHODS
Is PrettyScale accurate? Make sense of your result
A pretty scale result is easier to use when you know how its points, formula and score fit together.
Accurate at measuring what?
PrettyScale is a named face-analysis website, as well as a phrase people use for a beauty test. Its help page describes comparing facial features and proportions, with results affected by where you place the requested points and lines. That explains a measurement process; it does not establish how well a score predicts other people’s preferences.
To judge a result, separate three questions: were the points placed correctly, does the formula consistently calculate what it says, and has that number been validated for the claim being made? A precise-looking percentage does not answer all three. This is an independent FaceRater guide; we are not affiliated with PrettyScale.
- 01Locate
Check where the feature points land.
- 02Calculate
Read the distances and scoring formula.
- 03Interpret
Ask what the number can actually establish.
PrettyScale and FaceRater use different methods.
The table compares PrettyScale’s public homepage and help page with our current implementation. It is not a head-to-head accuracy study, and we have not inspected PrettyScale’s private scoring code. An undocumented detail should stay unknown rather than become a claim that one tool is better.
| Question | PrettyScale’s published description | FaceRater’s current method |
|---|---|---|
| Where do the points come from? | You position lines and dots as instructed. | A local model estimates 478 landmarks; you can inspect the overlay. |
| What contributes to the result? | Feature sizes, spacing, shape and symmetry; sometimes golden-ratio comparisons. | Five reflected pairs, eye-width balance and central-feature alignment feed the rating. Other ratios are separate. |
| How is the headline shown? | A face score on a 1–100 scale. | An experimental alignment score out of 10, alongside ten free readings. |
| Can the numbers be compared directly? | No shared calibration is documented in the linked pages. | We do not provide a conversion to another service’s score or a population percentile. |
Why can two pretty scale tests disagree?
Start with the inputs. A point on the eyelid is not the same endpoint as the eye corner. A cheek width is not a jaw width. Even on the same photo, different landmark choices can produce different distances. In a manual test, small placement changes matter; with automatic detection, a point can still land on a shadow, glasses frame or hair.
Then check the formula. One website may emphasize proportions, another alignment, and another a vision model’s response to the whole image. Dividing a 100-point score by ten only changes its display scale. It does not make it equivalent to a score calculated with different inputs and weights.
Finally, compare the photographs. Head turn, expression and camera position change the visible geometry. If one result surprises you, checking the image and its landmark map is more useful than treating the highest or lowest number as the truth.
Use a repeatable check before interpreting a score.
A small repeat test can reveal whether the result is stable under similar conditions. It cannot establish that the result measures human attractiveness. Keep the method and photo setup consistent, and keep the original readings rather than comparing unrelated scales.
- Use one clear, unfiltered, frontal adult photo with the whole face visible.
- Check the named endpoints, especially eye corners, cheeks and chin.
- If the tool asks you to place points, repeat carefully on the same image.
- For a new photo, keep camera position, lighting and expression similar.
- Read the individual measurements before drawing a conclusion from the overall score.
Choose the tool that answers your actual question.
For a free overview, FaceRater’s AI attractiveness test gives you the score, ten measurements and a map to inspect. AI locates the landmarks; a published formula calculates the alignment rating. You can see the free result without an account, email or payment.
For a specific question, go straight to eye-angle, symmetry or face-proportion measurements. These tools share your saved local scan, so moving between them does not require a second upload. A paid report is optional and adds explanations and styling ideas; it does not buy a higher score.
Method and further reading
Check the measurement definitions and original sources below. A tool’s calculation and the meaning of its score are separate questions.
- PrettyScale homepage — The service’s stated face-test format and score scale.
- PrettyScale Help & FAQs — Its explanation of feature comparisons and manual point placement.
- FaceRater scoring methodology and limitations
- Google MediaPipe Face Landmarker documentation — the landmark detector used by the local scan.
PUT IT INTO PRACTICE
Try a face test you can inspect
Start with a free rating, ten readings and the landmark map. No email or payment required.
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