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GamutDesk

Image Dominant Color Detector

Detect the single most prominent color in any image using 3D color histogram quantization off the main thread.

100% Client-SideZero Data Collection

Drop an image here or click to browse

Supports PNG, JPG, WebP, GIF, SVG (Up to 20MB)

Off-main-thread 3D Histogram Quantization (Web Worker)

Identified Dominant Color

Royal Blue (ΔE 9.92)
Peak Histogram Mode
#2563EB
RGB Channels
rgb(37, 99, 235)
HSL Cylindrical
hsl(221, 83%, 53%)

WCAG 2.1 Legibility on Common Backgrounds

On White (#FFF)5.17:1
AA Pass
On Black (#000)4.06:1
AA Fail
Code Snippets

Technical Specification & Mathematical Principles

The image is sampled into 4-bit per channel bins: bin = (R >> 4, G >> 4, B >> 4), yielding 4,096 discrete 3D spatial buckets.

The bucket with the highest accumulated frequency represents the peak dominant mode. The final color is calculated as the centroid average: (ΣR / N, ΣG / N, ΣB / N) within the peak bucket.

Frequently Asked Questions

The algorithm discretizes the 24-bit sRGB color space into 4,096 volumetric color bins (16×16×16 per channel). Every pixel is assigned to its corresponding spatial bin, and the bin with the highest frequency density determines the true optical dominant color, averaging internal pixel coordinates for sub-bin precision.

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