Free PSL score calculator

The calculator derives six values from facial landmarks, compares each with a documented reference target, then combines their closeness using a fixed weighting. It does not ask a generative model to improvise an opinion.

A fixed formula makes the result reproducible, but it does not make PSL a scientific scale. The score remains this product’s summary of geometry, not a prediction of how a stranger will rate you.

• Six inputs, not one opaque prompt
• No random variation between identical uploads
• Visible values and reference targets
• No population percentile without population data

1. 1

   Level the camera

   Keep the lens near eye height and the face straight rather than turned or tilted.

2. 2

   Control the light

   Use soft, even front light so both sides of the jaw and eyes remain visible.

3. 3

   Keep a neutral expression

   A large smile changes cheek, mouth and jaw landmarks.

4. 4

   Repeat the setup

   When tracking change, use the same distance, lens, crop and lighting.

The score can flag which selected proportions sit nearer or farther from this tool’s targets. It cannot explain attractiveness as a whole, establish a medical ideal or rank you against everyone else.

The browser first identifies facial landmarks, then derives distances and angles from selected landmark pairs. Ratios normalize pixel distances against face size, while angles use face-relative axes where practical. Each metric is mapped to a bounded contribution and the contributions are combined. The same image bytes, detector version and formula therefore produce the same result; there is no random prompt or rotating panel of judges.

Determinism solves one problem—unexplained variation—but not every problem. Landmark detection still depends on the photograph, and the weights remain product decisions. A formula can be completely transparent and still reflect a limited idea of facial balance. This is why the result names itself PSL-style and why the page describes the ingredients instead of presenting the output as objective beauty.

• Landmarks describe positions in the image.
• Geometry turns positions into ratios and angles.
• Reference functions turn metrics into contributions.
• Fixed weights combine those contributions.
• The interface exposes the result and its limitations.

Calculators can choose different landmarks, targets, weights and scale endpoints. One may use image-horizontal for the eyes while another corrects for facial roll. One may estimate jaw shape from a front photograph while another omits it. Some tools ask a generative model for a narrative judgment. Their outputs share a label, but they are not interchangeable measurements.

Version changes matter too. A detector update can place landmarks differently, and a scoring update can change the mapping even when the photograph is identical. Meaningful tracking therefore requires the same product version and the same capture setup. Omogle records no identity or face-derived analytics property, so it does not build a hidden personal ranking history.

• Do not average scores from different tools.
• Do not compare an edited photo with an unedited one.
• Keep lens, distance and lighting stable.
• Save the disclosed metric values if comparison matters.
• Expect different formulas to produce different summaries.

The free flow provides the overall score, a plain-language disclaimer and three contributing measurements. That is enough to see whether the detector worked and whether the approach is useful. The optional report unlocks the remaining measurements and longer explanations; it does not secretly replace the photograph, reroll the score or claim access to a more flattering model.

Keeping the calculation local also separates payment from image handling. Checkout receives ordinary purchase information, while the face image stays in browser memory. Restoring a purchase uses an entitlement token rather than an account containing facial data. This division preserves the same privacy boundary for free and paid users.

Use a recent, unfiltered image that resembles a neutral identification photograph more than a dramatic portrait. Both eyes, the brow region, cheeks and chin should be visible. Keep the camera far enough away that the face is not stretched by the lens, and avoid a crop that removes the outer contour used for width measurements.

After the result appears, inspect whether the landmark-dependent values make visual sense. If the face was turned, one side was hidden or the result conflicts sharply with similar photos, retake before interpreting. A calculator cannot improve input it cannot see, and repeating a controlled capture is more informative than submitting many unrelated selfies.