See a hairstyle before the haircut


Existing demo images. A styling simulation, not a prediction. The report includes 6 optional AI renders; each is generated on request.
Your skin, hair and eye colour measured from your own photo, placed on the three axes the seasonal system runs on, and turned into a twelve-season palette you can shop from.
Daylight, no filter and no makeup give the most honest reading. Every result comes with a confidence score, so you can see when the photo is the problem.
Front-facing, unobstructed, evenly lit photos work best. Your photo is analysed on your phone or computer and is never uploaded.
Connect your measured palette with makeup, clothing and face-shape styling advice.
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Explore a sample before you decide. Your own report uses your measurements; these examples show the format, not your result.


Existing demo images. A styling simulation, not a prediction. The report includes 6 optional AI renders; each is generated on request.
Softly rectangular frames with moderate lens depth and a frame width close to the face
Excerpt from the published sampleReshape the hair silhouette with crown lift, below-jaw length, and controlled sides.
Season names sound like weather, but the system underneath is three measurements. Your colouring is placed on each one, and the two strongest decide where you land.
The hue angle of your skin, nudged by your eye colour. Yellow-gold undertones sit warm, pink-red ones sit cool. This is the axis white balance destroys, which is why we correct for it before reading anything.
How light your colouring is overall, weighting skin and hair together. Hair carries most of the weight here: the same skin with black hair and with blonde hair lands in different seasons.
Saturation, plus the contrast between your hair and your skin. High contrast with saturated eyes reads clear; low contrast with muted colouring reads soft.
Four families, each with three types. The middle type of each family is the one where hue leads; the other two are pulled toward a neighbouring family by value or chroma. That is why Light Spring and Light Summer have more in common with each other than either has with its own family's deep type.
Light Spring, True Spring, Bright Spring. Golden, sunlit colours; brown beats black.
Light Summer, True Summer, Soft Summer. Colours with grey worked into them; navy beats black.
Soft Autumn, True Autumn, Deep Autumn. Rust, olive and bronze; warm darks rather than cold ones.
Deep Winter, True Winter, Bright Winter. Saturated, definite colour; the only family that genuinely suits pure black.
Each family page sets its three types side by side with full named palettes, and works through the distinctions that decide which one you are.
Light Spring, True Spring, Bright Spring
Light Summer, True Summer, Soft Summer
Soft Autumn, True Autumn, Deep Autumn
Deep Winter, True Winter, Bright Winter
A professional analyst drapes fabric beside your face in controlled light and watches what happens to your skin. One photo carries less information than that, and no amount of maths makes it carry more. What a photo can do is measure your colouring objectively instead of by eye, apply the same three-axis logic every analyst uses, and tell you how much to trust the answer. If two photos of you in different light give different seasons, the confidence score will usually already have told you why.
Every colour has three properties: hue (warm to cool), value (light to deep) and chroma (clear to soft). Your own colouring sits somewhere on each of those three. The strongest of the three decides your family, the second strongest decides which of the three types inside it you are, and that gives twelve seasons in total.
The 478-point face model locates your cheeks, forehead, chin, brows, irises and the whites of your eyes. Each area is sampled and reduced to a median, which throws out highlights, blemishes and stray hairs. Those colours are converted to CIELAB, a space where distance matches what the eye sees, and read off as the three axes.
That is the hardest part, and it is why we sample the whites of your eyes: they are the one thing on a face that should be neutral. The three channels are scaled so that reference moves back toward neutral, which pulls most of the colour cast out. The correction is partial, because real eye whites are slightly warm. When no usable eye white is found, the reading falls back to a weaker face-based correction and the confidence score drops.
Because a photo can be unusable in ways you cannot see. Blown-out skin, a heavy colour cast, a face too small in frame, or no measurable hair all make the reading less trustworthy, and each of them takes points off. A result at 40% is telling you to shoot a better photo, not that you are a hard case.
No. An analyst drapes real fabric next to your face in controlled light and watches what happens to your skin, which is more information than one photo carries. What this does is measure your colouring objectively and place it in the same twelve-season framework, which is a good starting point and costs nothing.
Yes, quite a lot. Foundation changes both the value and the warmth of your skin, and bronzer or blush shift the hue reading directly. For the most honest result, use a bare-faced photo taken in daylight.
There is none. The twelve-season system is a styling framework, not an academic taxonomy, and no peer-reviewed study has measured how a population splits across the twelve types. The figures that circulate — “Bright Spring is only 3–5% of people” and similar — come from stylists’ own client lists or from tool sites’ marketing pages; client lists are self-selected and regionally skewed, so they cannot be read as population proportions. What does have a measurement base is skin lightness: the Individual Typology Angle (ITA), computed from CIELAB L* and b*, sorts skin into six bands and tracked melanin index at ρ = −0.98 in one 556-participant study of an African population. But ITA measures lightness. No population study partitions people by warm and cool undertone, let alone into twelve seasons. So what this page gives you is your own three coordinates, not a rarity ranking.