CIEDE2000 (ΔE00) Matching

Hex to Tailwind Converter

Instantly map any hex to the closest Tailwind class using perceptual color difference.

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How Our Converter Works
The science behind accurate color matching
1

Color Analysis

Your hex input is parsed and validated.

2

ΔE00 Calculation

We compute CIEDE2000 (ΔE00) in CIELAB space against Tailwind’s OKLCH palette.

3

Best Match

The smallest ΔE00 is selected as your Tailwind class.

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Frequently Asked Questions

Everything you need to know about converting hex colors to Tailwind classes

How accurate is the color matching algorithm?
Why use Tailwind classes instead of custom hex values?
Can I convert multiple colors at once?
What if the matched color doesn’t look exact?
Which Tailwind versions does this work with?
Does it work in dark mode?

How It Works: CIEDE2000 (ΔE00) vs. Euclidean Distance

Many developers convert colors by treating Red, Green, and Blue values as 3D spatial coordinates (X, Y, Z) and calculating the straight-line (Euclidean) distance between them. However, Euclidean distance in RGB or Lab space does not represent how humans perceive color differences.

For example, the human eye is much more sensitive to changes in green than in blue, and our perception of brightness changes dramatically depending on whether a color is highly saturated or pastel.

❌ Euclidean RGB Distance

Simple 3D distance: ΔE = √((R₁-R₂)² + (G₁-G₂)² + (B₁-B₂)²). Often yields visually mismatched suggestions (e.g., suggesting a dark grey color for a deep navy blue because the RGB numbers are close, even though they look entirely different to a human).

✅ Perceptual CIEDE2000 (ΔE00)

The industry standard (ISO/CIE 11664-6) used in professional imaging and textile dyeing. It maps colors to CIELAB space and applies complex scaling factors based on Lightness, Chroma, and Hue, mimicking human eye response.

hex2tailwind is built by developers and color professionals to ensure design handoffs are perfectly consistent. The algorithm precomputes the entire Tailwind CSS v4 OKLCH color scale in Lab space, returning accurate classes in under 0.1 milliseconds.

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