Seasonal Color Analysis from One Daylight Selfie

It is a method that groups personal coloring — skin undertone, hair, and eye color — into seasonal palettes of colors that harmonize with you. Modern systems use twelve seasons: four bases refined by light, deep, soft, and bright sub-types. Seasonly measures your coloring from a selfie and places you in one of the twelve, with the palette to match.

Traditionally you would be draped in fabrics by a consultant; the phone version starts with a good daylight selfie. Seasonly samples your skin, hair, and eye color from one photo, runs the color math on-device, and returns your season along with the swatches that suit it. The whole analysis takes seconds.

Two reasons: many apps send your photo to a server model that is not repeatable, and uncontrolled lighting shifts the colors it sees. Seasonly fixes both — the classifier is deterministic, so the same photo always yields the same season, and a lighting gate asks for a daylight retake before it will analyze a yellow-lit shot.

Common home tests include looking at wrist veins or how gold versus silver jewelry sits on your skin, but they are subjective. Seasonly measures undertone directly from your photo's color data and shows your exact position on the warm-to-cool axis — along with value and chroma, the two other axes that decide a season.

The four base seasons — Spring, Summer, Autumn, Winter — each split into sub-types: light, deep, soft, and bright variants such as Soft Summer or Deep Autumn. The sub-types capture that two people in the same base season can differ in value and chroma. Seasonly classifies across all twelve and explains which axes pushed you where.

No. The analysis runs entirely on your iPhone using Apple's Vision framework and on-device color-space math. There is no upload, no server, and no account — the photo stays in your control and can be deleted at any time.

Natural daylight, no direct sun, no colored bulbs, minimal makeup, and hair visible. Indoor yellow light is the single biggest cause of wrong verdicts. Seasonly checks lighting before capture and tells you to step toward a window rather than letting a bad photo produce a confident-looking wrong answer.

Value is how light or deep your overall coloring is; chroma is how soft (muted) or bright (clear) it is. Together with undertone they form the three axes that determine a season. Seasonly shows your measured position on each axis, which is why its verdict reads as an explanation rather than a pronouncement.

Yes — deep coloring maps naturally to the deep and bright seasons, and a good system measures the actual colors rather than assuming a default. Seasonly's classifier and palettes are built to work across a wide range of skin tones, and the axis readout lets you verify the measurement against what you see in the mirror.

Your season's palette — Seasonly shows it as generous petal swatches you can compare against clothes in hand. Beyond clothing it includes makeup, hair, and metal guidance (gold versus silver), plus a draping compare view that flips your palette against alternatives so you can see the difference, not just take the app's word.

Yes. Seasonly stores multiple analyses so you can retake in better light and compare, and you can pin the best one as your reference. There is also a clean, shareable season card for the group chat or a Pinterest board.

It is style guidance, not science — a structured way to find harmonious colors, built on real color theory but not a clinical measurement. Seasonly is upfront about this: the measurements are honest and repeatable, and the verdict is framed as your style starting point, not a rule.