Face Symmetry Test: Free Mirror Analysis of Your Features
Your landmarks are mirrored across the facial midline and compared pair by pair, so you can see which features are closely matched and which differ most.
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Use a straight-on, evenly lit photo
Hair off the forehead, neutral expression, no glasses.
Analysed on your device. Your photo never leaves your device.
Mirror every left point onto the right
A midline is fitted through 28 centre points; each of 220 left-side landmarks is reflected across it and compared with its right-side partner. Shown on MediaPipe’s reference face, which is built as an exact mirror.
Mean mirror error
0.00% of pupil distance
The reference mesh is an exact mirror, so this is the zero baseline. A real photo shows a non-zero error in each region.
- 1Fit the midline through 28 centre landmarks, from forehead to chin.
- 2Reflect each of 220 left-side points across it.
- 3Measure the gap to the matching right point, as % of pupil distance.
- 4Group by region to find the most and least matched features.
- Eyes
- 0.00%
- Brows
- 0.00%
- Nose
- 0.00%
- Lips
- 0.00%
- Jaw
- 0.00%
What your result shows
This free face symmetry test does one thing: it measures how closely the left half of your face, reflected across a centre line, lands on the right half. A face-landmark model places 478 points on your photo inside your browser, and the tool turns the left–right differences into the numbers on the result card. The same idea is sometimes searched for as a symmetrical face test; either way, the output is a measurement of one photo, not a judgement of a person.
Symmetry score
A number from 0 to 100 equal to 100 minus 6 points for every 1% of mean mirror error. It is the symmetry part of the overall score, where it carries 35%.
Mean mirror error
The average distance, as a percentage of your pupil distance, between each reflected landmark and its partner. 0% would mean an exact mirror; larger values mean larger left–right differences.
Most and least matched
The two regions among eyes, brows, nose, lips and jaw outline whose mirror error is lowest and highest in this photo, plus a table with all five.
The card also reports three single-purpose readings: how straight the fitted midline is, how far the tip of the nose sits from that line, and how much the line through the mouth corners tilts. A confidence value with one decimal and plain notes on head angle and light tell you how far to trust this particular photo. If the head is turned more than 10° or pitched too far up or down, the card asks for a retake and withholds the scores, because pose creates more apparent asymmetry than most faces contain.
How landmark mirroring works
The method has four steps, and each one is deterministic. First, the eye line is levelled (head roll is removed) and small head turns within ±10° are undone using the model’s depth estimate. Second, a straight midline is fitted through 28 landmarks that run down the centre of the face. Third, each of 220 left/right landmark pairs is reflected across that line. Fourth, the distance between every reflected point and its partner is averaged and divided by the distance between the pupils (iris centres, landmarks 468 and 473), so the size of the photo does not matter.
The 220 pairs are not hand-picked. They are derived from MediaPipe’s canonical face model, which is an exact mirror image of itself, so every landmark on one side has a defined twin on the other. On that canonical face the tool reports 0% mirror error, which is the check that the pairing and the reflection are correct. Real faces always sit above zero.
| Region | Pairs | What it covers |
|---|---|---|
| Eyes | 16 | Lids, corners and iris-area points of both eyes, including corners 33↔263 and 133↔362 and the lid points 159/145 and 386/374. |
| Brows | 10 | The points along both eyebrows, including the brow top 105↔334. |
| Nose | 7 | Nose-wing and side-of-nose points, including the wings 64↔294. |
| Lips | 18 | Upper- and lower-lip outline pairs, including the mouth corners 61↔291. |
| Jaw / face outline | 17 | Pairs along the face edge from near the temple to the chin, including 234↔454, 172↔397 and 132↔361. |
These five regions hold 68 of the 220 pairs. The remaining pairs, from other parts of the face mesh such as the cheeks and forehead, still count towards the overall mean mirror error but belong to none of the five region rows. The three extra readings are separate measurements. Midline straightness shows how much the 28 midline points wander from the fitted straight line. Nose-tip offset is the sideways distance of the nose tip from that line. Mouth-line tilt is the angle of the line between the mouth corners 61 and 291 relative to the level eye line.
How the symmetry score is built
The score starts at 100 and loses 6 points for every 1% of pupil distance in mean mirror error, with the result kept between 0 and 100. As arithmetic examples, an error of 1.0% gives 94, 2.0% gives 88 and 3.0% gives 82. The constant of 6 is ours: no published norm exists for a landmark-based mirror error, so it is chosen to spread everyday photos across a readable range rather than taken from a study.
| Quantity | Unit | Reference | Use |
|---|---|---|---|
| Mean mirror error (all 220 pairs) | % of pupil distance | 0% (exact mirror) | Symmetry score = 100 − 6 × error |
| Regional mirror error (5 regions) | % of pupil distance | 0% | Shown, used for most/least matched; not scored on its own |
| Midline straightness | % of pupil distance | 0% | Shown for context |
| Nose-tip offset | % of pupil distance | 0% | Shown for context |
| Mouth-line tilt | degrees | 0° | Shown for context |
Why we do not show “left–left” and “right–right” faces. Many symmetry apps build two composite portraits from one half of the face mirrored onto itself. We deliberately do not. The tool generates no images; it only measures. Composites are easy to misread as “what you would look like”, and they depend heavily on exactly where the midline is placed. Numbers per region tell you more and cannot be mistaken for a different face.
How to read your symmetry result
When you run a face symmetry test on your own photo, start with the regional table rather than the total. The “most matched” and “least matched” labels are relative to your own photo: one region has to come first and one last, even when all five are close. Compare the actual percentages, and the gap between them, before reading anything into the order.
Some asymmetry is normal in everyone. Research on symmetry and perceived attractiveness, such as Perrett et al. (1999) and Rhodes et al. (1998), is built on ordinary faces that all differ slightly between sides, and lay medical overviews describe mild asymmetry as common. Symmetry is also only one ingredient of how faces are perceived (Jones & Jaeger 2019), which is why the overall score gives it 35% rather than all of it.
Confidence matters as much as the number. A higher mirror error with a low confidence value usually points to the photo: a turned head, light from one side or an uneven expression. A similar value that stays similar across several well-taken photos reflects the face geometry. Expression is a common cause of a gap between photos: a half-smile lifts one corner of the mouth and tilts the mouth line, even though the resting face has not changed.
A calm note on health. This tool describes a photo and cannot diagnose anything. If you notice a sudden change on one side of your face, such as drooping, weakness or numbness, contact a doctor or emergency services promptly rather than relying on a photo measurement.
Photo conditions that create false asymmetry
Any face symmetry test reads two things at once: the face and the photo. These habits reduce the second.
Face the camera squarely
Turning the head moves one side of the face closer to the lens and makes it look larger. The tool undoes small turns within ±10°; beyond that it asks for a retake, because a correction would be a guess.
Keep the head level
Tilting the head does not change the face, and the tool levels the eye line to remove it. A level start still leaves less correction to make.
Use even, soft light
Strong side light puts one half in shadow, and the model places landmarks there less reliably. Facing a window or using indirect light keeps both halves equally visible.
Relax your expression
Smiles, raised brows and clenched jaws are rarely the same on both sides. A neutral, relaxed expression compares the resting geometry.
Move hair off the edges
Hair that covers one brow, ear-side outline or jaw edge changes where outline landmarks land. If you want a cleaner reading, tuck it back on both sides.
Take two photos
Repeating the photo in the same light and at the same distance shows whether a region’s number belongs to the face or to a single frame. A front photo also cannot show depth differences: anything that needs a side view is listed as Not scored — needs a side photo.
Symmetry is one of four parts of the overall face rating. To see how the other parts are measured, open the golden ratio calculator, the face shape detector or the jawline analysis, which looks at the jaw width and angle from the front.
More free tools, same photo
Frequently asked questions
How do I check if my face is symmetrical?
Add one front-facing photo. The tool fits a midline through 28 landmarks, mirrors each of 220 left/right landmark pairs across it and measures how far each reflected point lands from its partner, as a percentage of the distance between your pupils. That mean mirror error becomes the symmetry score: 100 minus 6 for every 1%.
Is 80% face symmetry good?
There is no accepted standard, and our number is not a share of your face that matches. It is 100 minus 6 points per 1% of pupil distance in mean mirror error, so 80 corresponds to an error of about 3.3%. Everyday faces are not perfectly mirrored, so read the number as a description of this photo, not a verdict.
Is anyone’s face 100% symmetrical?
In practice, no. Studies of facial symmetry and perceived attractiveness (Perrett et al. 1999; Rhodes et al. 1998) work with ordinary faces that all show small left–right differences. Only MediaPipe’s artificial canonical face is an exact mirror, and it measures 0% error. Real faces land above that.
How accurate is the facial symmetry test result?
The arithmetic is exact and repeatable: the same photo always returns the same numbers. What varies is the photo. Head turn, uneven light, a half-smile or hair over one side move landmarks and show up as asymmetry. The tool levels the eye line and undoes turns within ±10°, and asks for a retake beyond that.
Does the symmetry score measure beauty or attractiveness?
No. It measures geometry only. Research finds that symmetry is related to how attractive faces are rated, but it explains only part of that judgement (Rhodes et al. 1998; Jones & Jaeger 2019). Attractiveness depends on observers and context, so the score is not a statement about how anyone looks.
How common is facial asymmetry?
Mild left–right differences are common and usually unremarkable; lay medical overviews such as Medical News Today describe asymmetry as common. A change that appears suddenly, for example one side of the face drooping, is different. Please contact a doctor promptly in that case. A photo tool cannot assess it.
Method and references
Landmarks come from Google’s MediaPipe Face Landmarker (478 points including the irises), run on your device in single-image mode on the CPU, so the same photo always produces the same numbers. The mirror error is our own construction: a midline fitted through 28 points, reflection of 220 pairs, mean distance divided by pupil distance. The 100 − 6 × error scaling is an engineering choice, not a published norm. Regions with only a few pairs, such as the nose with 7, are more sensitive to a single misplaced landmark than regions with 17 or 18.
The studies below are about symmetry and perceived attractiveness in human faces; they do not validate our score and we do not claim they do. The last item is a lay overview of facial asymmetry.
- Perrett DI, Burt DM, Penton-Voak IS, Lee KJ, et al. (1999). Symmetry and human facial attractiveness. Evolution and Human Behavior 20(5):295–307. doi:10.1016/s1090-5138(99)00014-8
- Rhodes G, Proffitt F, Grady JM, Sumich A. (1998). Facial symmetry and the perception of beauty. Psychonomic Bulletin & Review 5:659–669. doi:10.3758/BF03208842
- Penton-Voak IS, Jones BC, Little AC, Baker S, et al. (2001). Symmetry, sexual dimorphism in facial proportions and male facial attractiveness. Proc. R. Soc. B 268:1617–1623. doi:10.1098/rspb.2001.1703
- Jones AL, Jaeger B. (2019). Biological bases of beauty revisited: the effect of symmetry, averageness, and sexual dimorphism on female facial attractiveness. Symmetry 11(2):279. doi:10.3390/sym11020279
- Little AC, Jones BC, DeBruine LM. (2011). Facial attractiveness: evolutionary based research. Phil. Trans. R. Soc. B 366:1638–1659. doi:10.1098/rstb.2010.0404
- Medical News Today, “Asymmetrical face” (lay overview; notes that asymmetry is common and that sudden change needs medical attention). medicalnewstoday.com/articles/asymmetrical-face
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