Color Distance Calculator
Measure the perceptual difference between two colors using different algorithms
Calculate the perceptual difference between two colors using the Delta E (CIEDE2000) algorithm. This professional metric indicates how distinguishable two colors are to the human eye.
Algorithm: CIEDE2000 - Industry standard for color difference measurement
Color 1
rgb(255, 0, 0)
Color 2
rgb(255, 51, 51)
Result
ΔE 2000 (CIEDE2000)
Most accurate
ΔE 76 (CIE76)
Simpler
Very obvious difference. Colors are completely distinct.
Visual Comparison
L*a*b* Breakdown
Shows where the two colors differ: L* = lightness, a* = red/green axis, b* = blue/yellow axis.
Interpretation Guide
< 1.0
Imperceptible
1.0 - 2.0
Barely Perceptible
2.0 - 3.5
Perceptible
3.5 - 5.0
Noticeable
> 5.0
Very Noticeable
Export Report
How it works
Color distance measures how different two colors are perceived by the human eye. Unlike calculating Euclidean distance in RGB, Delta E algorithms work in the CIE L*a*b* color space, which better models visual perception.
Delta E (ΔE) — Reference scale
- ΔE < 1: Imperceptible — Colors look identical to the naked eye
- ΔE 1-2: Perceptible only by experts with direct comparison
- ΔE 2-3.5: Perceptible — A subtle difference is noticeable
- ΔE 3.5-5: Noticeable — Clear and obvious difference
- ΔE > 5: Very noticeable — Clearly different colors
📊 ΔE76 vs ΔE2000
This tool shows both algorithms:
- ΔE76 (CIE76): Simpler formula — Euclidean distance in L*a*b*. Fast but inaccurate for blues and saturated colors.
- ΔE2000 (CIEDE2000): The modern standard. Weights lightness, chroma, and hue based on human perception. Much more accurate.
For most professional uses, always use ΔE2000.
🧪 CIE L*a*b* Color Space
The L*a*b* breakdown shows where two colors differ:
- L* (Lightness): 0 = black, 100 = white. Large ΔL = brightness difference.
- a* (Red ↔ Green): Positive values = reddish, negative = greenish.
- b* (Blue ↔ Yellow): Positive values = yellowish, negative = bluish.
🏭 Industry tolerances
- Offset printing: ΔE < 2 (ISO 12647 standard)
- Textile: ΔE < 1.5 (demanding)
- Automotive: ΔE < 0.5 (extremely strict)
- Web/digital: ΔE < 3 (acceptable due to monitor variation)
- Packaging: ΔE < 2 for brand colors
💡 Practical Use Cases
Case 1: Print quality control
Verify that printed color matches the original design.
→ ΔE < 2: Acceptable for most uses
→ ΔE < 1: Premium/exact quality
Case 2: Cross-platform brand consistency
Verify that your web blue matches your native app and corporate PDF.
→ Compare HEX from all platforms
→ Check the L*a*b* breakdown to see if they differ in brightness, hue, or saturation
Case 3: Accessible palette — distinguishable colors
You need chart or dashboard colors to be distinguishable from each other.
→ ΔE > 5 between each pair ensures they are clearly different
→ Especially important for people with color blindness
Case 4: Finding a Pantone alternative
Your brand's Pantone color has no exact HEX equivalent.
→ Compare HEX candidates against the converted Pantone
→ Choose the one with lowest ΔE2000
⚡ Pro tip
The "Export Report" button copies a full summary with both ΔE values, L*a*b* values and per-component differences. Ideal for documenting color decisions in your team.