Color Matching
Predict how your screen colours will look dyed on cotton, silk, wool, or polyester. AI accounts for fibre absorption, lightfastness, and wash behaviour. Free account.
Why screen colours lie — and how to predict dyed reality
Your screen shows RGB pixels. Your printed fabric shows dye absorbed by fibres. The colours almost never match directly — a vivid RGB red becomes a duller brick on wool, or a surprisingly hot pink on silk. The variance depends on fibre type, dye class, pH, temperature, and a dozen other factors.
Our colour-matching model is trained on thousands of dye-lot samples from commercial textile mills. Enter an RGB colour, pick a fibre (cotton, silk, wool, polyester, blends), and the model predicts what you'll actually see after dyeing — including how it will fade after 6 months of sun exposure and 50 washes.
Use this to set realistic expectations with clients before sampling, choose between fibres for a specific aesthetic goal, or troubleshoot why last season's tee faded to a different shade than this season's. Who uses it: fashion brands specifying colourways, textile designers negotiating with manufacturers, and QC teams investigating consistency issues.
Four steps, free account
Sign in or create a free account
15-second signup, 100 credits, no card.
Enter your target colour
Hex, RGB, or pick from an uploaded image.
Pick your fibre
Cotton, silk, wool, polyester, or a blend.
See the prediction
Rendered swatch of the predicted dyed colour + lightfastness and wash-fade projections.
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