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ΔE76 · ΔE2000 · ΔE-OK · perceptual color difference

Color Distance Calculator (ΔE)

Measure how different two colors actually look — the industry-standard CIEDE2000, plus ΔE76 and OKLab distance — with the perceptual interpretation band the pros use for matching and brand tolerance.

01 · The two colors
#6366F1
#5B5FE0
ΔE2000 (perceptual difference)
3.51
Perceptible at a glance

Clearly different colors in normal viewing.

02 · Deep analysis

Three metrics & the tolerance scale

ΔE by formula
3.51
ΔE2000
Industry standard — use for matching & tolerance
3.26
ΔE-OK
OKLab distance — modern, web-friendly
5.87
ΔE76
CIE76 — simple, overstates blues/saturated
A · LAB lab(50.1% 38.69 -70.49)
B · LAB lab(46.7% 36.09 -66.47)
Perceptual tolerance bands
01Not perceptible
12Perceptible on close look
210Perceptible at a glance← here
1049More similar than opposite
4950+Effectively opposite

Bands are for ΔE2000 under D65. Brand/print tolerance is commonly ΔE2000 ≤ 2 (≤ 1 for critical work).

Field notes

The number behind 'is it the same color?'

"Are these two colors the same?" sounds simple until money rides on it — a printed batch versus the target, an ad versus the brand book, an exported asset versus the original. The naive answer, compare the RGB or HEX values, is worse than useless, because the distance between numbers in RGB has almost nothing to do with how different the colors look. The eye is exquisitely sensitive to some regions of color space and nearly blind in others; it can barely separate two deep blues that are numerically far apart, yet instantly distinguishes two greens that are numerically close. Treat all directions equally, as RGB distance does, and you'll fail pairs perception passes and pass pairs it fails.

Delta-E exists to fix exactly this. By measuring distance in a perceptually-uniform space, it makes the number track the eye: equal ΔE means equal visible difference, wherever you are in color space. The original ΔE76 was a plain Euclidean distance in LAB and got the idea right but the details wrong — it badly overstates differences among blues and saturated colors. CIEDE2000 is the fix the industry settled on: it reweights lightness, chroma and hue and adds a rotation term for the blue region, and it's now the figure quality-control standards, print shops and brand guidelines reference. OKLab distance is the modern, simpler alternative that behaves well for screen and web work.

The thresholds are the practical payoff. Under one ΔE, a difference is below the just-noticeable threshold — the colors are, for human purposes, identical. One to two takes a careful side-by-side to spot, which is why so many brand and print tolerances land at ΔE ≤ 2. Two to ten is obvious at a glance, and beyond that the colors are simply different. Knowing the band turns a vague worry into a pass/fail decision.

So this instrument shows all three metrics at once — so you can see ΔE76 overstate a blue difference while ΔE2000 reports the truth — alongside the band your pair falls into. Generate candidate colors in the Palette Generator, read either color in every format with the Converter, and confirm legibility in the Accessibility Checker.

Color Distance (ΔE) FAQs

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Trusted by Color, Print & Brand Teams

4.8
Based on 2,640 reviews

Showing ΔE76, ΔE2000 and ΔE-OK side by side is exactly right — you immediately see how ΔE76 overstates differences on the blue pair while ΔE2000 reflects what the eye actually does. The CIEDE2000 matches my reference implementation to two decimals. The interpretation bands are textbook. A proper instrument.

D
Dr. Renata Alves
Color scientist
June 15, 2026

We hold press output to ΔE2000 ≤ 2 and this is the quickest way to spot-check a proof against target without firing up the spectro software. The tolerance bands and the honest note about viewing conditions are spot on. Bookmarked for the whole prepress team.

G
Greg Holloway
Print production manager
May 30, 2026

Auditing whether marketing assets stay within our brand-blue tolerance is now a ten-second job. ΔE2000 is the number our guidelines reference, and seeing it next to the gradient between the two colors makes the difference tangible. Would love batch mode, but for pairs it's perfect.

M
Mei Sasaki
Brand compliance analyst
April 11, 2026

I use it to guarantee my categorical chart colors are perceptually distinct — pairwise ΔE2000 above 10 and I know viewers can separate the series. Three metrics, clear bands, instant, in-browser. This is the color-difference tool I reach for.

O
Owen Pierce
Data-viz developer
January 28, 2026

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ΔE2000 (CIEDE2000) · ΔE76 (CIE76) · ΔE-OK (OKLab) · LAB from sRGB/D65 · Last reviewed: 2026-06