AI-powered color intelligence built for the people who make fabric come alive
TextileTone is a color analysis and textile design platform built for designers, manufacturers and quality control teams.
Instead of manual comparison and visual estimation, TextileTone analyzes fabric images using machine learning and color science to identify, match and modify colors accurately.
The goal is to make professional color tools accessible — without expensive lab equipment or complex workflows.
Computer vision and color science built for real textile workflows
Identifies dominant colors inside complex textile patterns and textures with high precision — capturing even minority color families.
Processes colors in perceptual color models that align with how human eyes see differences — not how machines count numbers.
Industry-standard color difference formula used by textile quality labs worldwide for pass/fail verdicts and shade comparison.
Preserves fabric weave patterns, shadows and textures during color replacement so results look photorealistic, not painted.
Color consistency is one of the most difficult problems in textile production. Lighting, camera sensors and dye variations often make the same fabric look different across machines or factories.
TextileTone was created to automate color analysis and make it repeatable — using software instead of manual comparison. No expensive spectrophotometers, no guesswork.
Just upload a photo and get precise, reproducible color data every time.
Analyze colors, redesign fabrics and verify quality — all in one tool
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