Colour analysis app · in development

Your colours,workingsshown.

Find your colour season from three guided photos. Daydrape measures your skin, hair and eyes on four axes and shows exactly how it got there. Your result is free, before any paywall.

A launch email and the odd build update. Unsubscribe anytime. Privacy notice

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Example reading3 of 3 photos agree

Soft Autumn

58% match · close second Soft Summer 42%

Lightness
Warmth
Chroma
Contrast
wide band = less sure ↑ free
result
✦

The problem

Four scans.
Four different seasons.

We read 1,741 public app-store reviews of colour-analysis apps. The same four complaints kept coming up.

  1. 01

    Paywall before results

    You do the whole scan, then the answer is locked behind a payment.

    the most common complaint
  2. 02

    A new season every photo

    Same face, different photo, different season, and no explanation of why.

  3. 03

    Trials that don't end

    A cheap trial that quietly turns into a monthly charge that's hard to cancel.

  4. 04

    Bad light, darker skin

    Phone cameras misread colour in poor light, and studies find bigger errors on darker skin.

How it works

Three steps.
Nothing hidden.

  1. i.

    Three guided photos

    By a window, no flash, holding a printable reference card with grey and skin-tone patches. Live checks for light and angle, and three matching shots, so one bad photo can't decide your season.

  2. ii.

    Four measurements

    Lightness, warmth, chroma and contrast, read across your skin, hair and eyes, each with an honest uncertainty band.

  3. iii.

    A season, plus a runner-up

    Your colour season is built from those measurements. When it's close, we show the runner-up and tell you so.

Workings shown

Not just a season.
The reasons.

Every result shows where you sit on each axis and how sure we are. A wide band means less certain. We'd rather show you that than fake confidence.

  • Your measurement
  • Uncertainty band
  • Hardest axis, so a wider band
Example reading · illustrative values

Soft Autumn

Lightnessmedium-light
lightdeep
Warmthslightly warm?
cool↑ hardest to read, so a wide bandwarm
Chromamuted
mutedvivid
Contrastlow-medium
blendedstriking

Why is warmth less certain? Even trained raters barely agree on skin undertone, while they agree well on lightness. So we show a range.

SourceBranigan et al. · 2024 ↗

The science

Colour science first.
Season second.

Most apps glance at one selfie and hand you a season. Daydrape measures your colouring in CIELAB, the international standard colour space, corrects for your light, and only then names a season, with every step on show.

01

Four things we actually measure

Read across your skin, hair and eyes, never skin alone.

L*skin · hair · eyes

Lightness

How light or deep your colouring is. It's the most dependable thing to measure: raters agree on lightness far more than on undertone,1 and clinical colour meters give highly consistent skin readings (ICC 0.98).2

h°skin · hair · eyes

Warmth

Where you sit between rosy and golden, measured as a hue angle. It's real, but people barely agree on it by eye (ICC ≈ 0.15),1 so we show a range, never a flat "warm" or "cool".

C*skin · hair · eyes

Chroma

How vivid or muted your colouring is. It's what separates a "clear" season from a "soft" one, and it's the reason two people with the same undertone can suit very different colours.

ΔL*skin ↔ hair ↔ eyes

Contrast

The gap between your skin, hair and eyes. Contrast changes how skin is seen: the same faces looked more even-toned against darker hair.3 In a 2026 study, hair and eyes told a model more about season than skin did.4

02

How we fight bad lighting

Your phone quietly re-tints every photo. A single selfie can't tell your colouring apart from your kitchen light. So we don't trust a single selfie.

built to cut lighting error, not hide it ↓
  1. A grey + skin-tone reference card

    The card sits in the same light as your face, so we can correct your camera's colour against known patches. In lab tests, skin-tone reference charts cut colour error to about 2.5–4 ΔE, versus up to 11.8 ΔE with a standard chart.5

  2. Three photos must agree

    Tilting a phone alone shifted measured skin colour by more than a unit, and flash didn't reliably help.6 So we take three guided shots and only give a result when they agree. If they don't, we ask for a retake rather than guess.

  3. Checked across skin tones

    Phone cameras make more white-balance and exposure errors on darker skin,7 and uncorrected photos skew skin tone lighter.2 Correcting against the card is how we tackle that. We're testing across a wide range of skin tones before launch and won't claim more than those tests show.

03

Why your season comes with a runner-up

Seasons are a styling convention from 1970s and 80s colour books, not a biological type. A 1986 analysis of eleven published colour-analysis systems found few similarities in their colour advice, even between authors using the same season names.8

On a public benchmark of expert-labelled faces, AI models pick the right one of four seasons only about 55% of the time, yet the right season lands in their top two about 81–85% of the time.9,4

So Daydrape derives your season from your four measurements, shows how close the call was, and names the runner-up when it's close. You get the honest answer, and a far more useful one.

Example · illustrative values

4 measurements→distance to each season→best match + runner-up
Soft Autumn58%
Soft Summer42% · runner-up

close call → we tell you

workings
shown
✦
Grounded in research published in
  • npj Digital Medicine
  • Social Psychology Quarterly
  • Color Research & Application
  • Journal of Biophotonics
  • Perception
  • Electronic Imaging
  • ECCV Workshops
  • ACM IAIT
  1. Branigan, A. R., Nunez, J. G., Khan, M. A. & Gordon, R. A. (2024). Variation in skin red and yellow undertone: reliability of ratings and relevance for perceived social experiences. Social Psychology Quarterly. Read ↗
  2. Weir, V. R., Li, Y., Gillis, M. C. et al. (2025). Evaluating skin tone scales for dermatologic dataset labeling: a prospective-comparative study. npj Digital Medicine 8. Read ↗
  3. Batres, C. & Russell, R. (2026). Perceived skin evenness is influenced by background color and hair color. Perception. Read ↗
  4. Ou, N. Y. P. & Chan, J. H. (2026). Lumina: seasonal color analysis system with explainable machine learning. Proc. IAIT '26, ACM. Read ↗
  5. He, R., Xiao, K., Pointer, M., Bressler, Y., Liu, Z. et al. (2022). Development of an image-based measurement system for human facial skin colour. Color Research & Application 47. Read ↗
  6. Cronin, A., Tkaczyk, E. R., Hussain, I., Bowden, A. & Saknite, I. (2023). Effect of camera distance and angle on color of diverse skin tone-based standards in smartphone photos. Journal of Biophotonics. Read ↗
  7. Borek, M., Schwartz, A. & Spooner, A. (2024). Evaluating camera performance in face-present scenes with diverse skin tones. Electronic Imaging 36(9). Read ↗
  8. Collin, E. E. (1986). Development of a methodology for analyzing the color content of a selected group of printed color analysis systems. MSc thesis, Oregon State University. Read ↗
  9. Stacchio, L., Paolanti, M., Spigarelli, F. & Frontoni, E. (2025). Deep Armocromia: a novel dataset for face seasonal color analysis and classification. ECCV 2024 Workshops, Springer LNCS 15623. Read ↗

Seasonal colour analysis is a styling tradition, not settled science. We cite research for what can be measured, and we're upfront about the rest. Daydrape is in development, so we'll only quote our own accuracy once our testing produces it.

Share cards

A result worth
posting.

Pick a style, add your name, share to Stories. Five looks, from quiet to loud.

Minimal share card: paint-chip strip, Soft Autumn
Minimal
Magazine-cover share card: Maya's edition, Soft Autumn
Cover
Polaroid share card: Maya's colours, Soft Autumn
Polaroid
Zine sticker share card: I'm a Soft Autumn
Zine
Portrait share card with an illustrated, AI-generated portrait of a fictional woman
Portrait · opt-in

Pricing

Free result.
One honest price.

Your reading

Free

  • Your season and runner-up
  • All four measurements, with uncertainty
  • The "why", with sources
  • Share cards
once,
not
monthly

Full palette

£4.99 one-off · planned launch price

  • Your full colour palette
  • Clothes and make-up colour guidance
  • Every tip explained and sourced
  • Keep it, no renewal
  • ✓No card needed to see your result
  • ✓No subscription
  • ✓No trial that turns into a charge

FAQ

Good questions.

What season am I, and can an app really tell?

Seasonal colour analysis is a styling tradition, not settled science. Daydrape measures four things that can be measured (lightness, warmth, chroma and contrast) and builds your colour season from them, with a runner-up when it's close. You see exactly how the answer was reached, and you can judge it yourself.

Does it work on darker skin?

We won't pretend this is solved. Phone cameras are measurably less accurate on darker skin, and studies show it. That's why Daydrape uses a reference card with skin-tone patches, three matching photos and a visible uncertainty band. We're testing across a wide range of skin tones before launch, and we won't claim more than our tests show.

What about bad lighting?

Light changes how colour photographs. Daydrape guides you to daylight, no flash and a level phone, checks the light live, and only gives a result when three photos agree.

Is this an undertone test?

Partly. Warmth (your skin undertone) is one of four measurements. It's also the hardest to read reliably, so we show it with a wider band instead of a confident "warm" or "cool" label.

How is this different from booking colour analysis near me?

An in-person draping session with a trained consultant is a lovely experience. Daydrape is a quick, low-cost way to start at home, and it shows its working so you can see why you got your result.

What happens to my photos?

Your photos are used to make your reading, and that's all. The details (where they're processed, how long they're kept and how to delete them) will be set out in full in our privacy notice before launch. Right now we only collect waitlist emails. Read the privacy notice.

Do I need to print something?

The reference card is a small sheet with grey and skin-tone patches that helps correct your camera's colour. We're still deciding how you'll get it (print at home or another option) and will confirm before launch.

How much will it cost?

Your result is free, before any paywall. The full palette is a one-off purchase, with a planned launch price of £4.99. No subscription, and no trial that turns into a charge.

When does it launch?

We're building it now. Waitlist members hear first. That's the only email we'll send you until then, apart from the odd build update.

Find your colours.
See the working.

Stop guessing which colours are yours. Join the waitlist and you'll be first in when Daydrape launches: the launch email goes to the list before anyone else, and your result is free.

A launch email and the odd build update. Unsubscribe anytime. Privacy notice

You're on the list ✶We'll email when Daydrape is ready.