Personal Color Analysis — Find Your Season with AI | Vanikya
Upload a single portrait photograph and receive a magazine-grade personal colour analysis diagram. Vanikya charts undertone, value, chroma and contrast — the four axes a trained colourist uses — and returns your best twelve colours, six to avoid, and a side-by-side wardrobe try-on.
What the analysis reads
- Undertone — warm, cool, or neutral, read directly from your skin in daylight.
- Value — how light or deep your overall colouring sits on a five-step scale.
- Chroma — soft, muted, clear, or bright saturation.
- Contrast — the spread between your darkest hair / eye and lightest skin tones.
The twelve seasons
Every analysis classifies the subject into one of the twelve seasonal sub-types used by professional colour analysts: Soft Autumn, Warm Spring, Cool Summer, Deep Winter, Light Spring, True Autumn, Light Summer, Cool Winter, True Spring, Soft Summer, Deep Autumn, and Bright Winter.
How it works
- Drop a clean daylight portrait — JPG, PNG, or WebP, up to 5 MB.
- Optionally hint at a season if you already have a hypothesis; skip it to let the analysis decide.
- Add subject notes (ethnicity, eye colour, hair colour) for a sharper undertone reading.
- Pick Medium or High render quality. Generation takes roughly thirty seconds.
- Download a single PNG, magazine-grade composition — save it to your phone for shopping, share to social, or use as a stylist brief.
Who it's for
- Personal stylists building client mood boards backed by colour science.
- Photographers picking wardrobe and backdrop that flatter the subject.
- Shoppers carrying a colour cheat-sheet into every fitting room.
- Content creators making share-worthy "what suits you" videos and posts.
- Brand designers and beauty editors choosing palettes for shoots and campaigns.
Common questions
What is personal colour analysis? A method of identifying which clothing, makeup and accessory colours harmonise with your natural undertone, hair and eyes. The result is a personal palette you can reference when shopping, dressing or branding.
How accurate is the AI version? Vanikya reads the same four axes a trained analyst uses (undertone, value, chroma and contrast) directly from your photograph. Results are consistent when you upload a well-lit, neutral portrait.
What kind of photo works best? A front-facing daylight portrait, hair pulled back, neutral expression, no heavy filters, no heavy makeup. Avoid yellow indoor lighting and harsh shadows, which confuse undertone reading.
What can I do with the result? Save it to your phone, share to social, brief a stylist, or pin it to a mood board for a wedding palette, brand identity, or content shoot.