Image Color Analysis
Analyze the colors in any image online.
Upload an image to discover its dominant colors, color palette, RGB and HEX values, brightness, saturation and detailed color statistics.
Upload Image to Analyze Colors & Palettes
Drag & drop your image here · Choose Image
Analyze Image Colors Online
A fast, client-side color extraction engine that uses K-Means++ clustering and HTML5 Canvas pixel sampling to generate dominant palettes, color histograms, and mathematical color metrics.
Color plays a fundamental role in visual design, brand identity, and photography. Understanding the precise chromatic composition of an image allows designers and developers to build cohesive color schemes, verify WCAG accessibility contrast, and extract CSS variables in seconds.
Rather than relying on arbitrary pixel sampling, ReducerImage executes K-Means++ Euclidean distance clustering across the full 3D RGB color gamut. Every dominant swatch represents the true centroid of a mathematically grouped color cluster with an exact pixel percentage frequency.
Color Model & Mathematical Specification
Overview of supported color representations, conversion formulas, and accessibility criteria.
| Color Model | Channel Format | Mathematical Basis | Primary Use Case |
|---|---|---|---|
| HEX (#RRGGBB) | 3 Base-16 Bytes | $00$ to $FF$ per sRGB channel | Web Stylesheets, CSS Design Tokens |
| RGB | Red, Green, Blue | $[0, 255]$ integer intensity values | Digital Displays, Canvas Rendering |
| HSL | Hue, Saturation, Lightness | $H \in [0^\circ, 360^\circ], S,L \in [0\%, 100\%]$ | Human-Centric Palette Adjustment |
| HSV / HSB | Hue, Saturation, Value | $H \in [0^\circ, 360^\circ], S,V \in [0\%, 100\%]$ | Digital Painting & UI Color Pickers |
| CIE L*a*b* | Lightness, a*, b* | Perceptually Uniform D65 Standard | Color Difference & Print Matching |
WCAG 2.1 Contrast Ratios & Digital Accessibility
According to Web Content Accessibility Guidelines (WCAG 2.1), standard text requires a minimum contrast ratio of 4.5:1 (Level AA) or 7.0:1 (Level AAA) against its background. Our analyzer automatically calculates relative luminance ($Y = 0.2126R + 0.7152G + 0.0722B$) for every extracted palette color to verify legibility against pure white and black surfaces.
How K-Means Color Clustering Functions
Our client-side color analysis pipeline executes in four synchronized steps:
Pixel Reading
Extracts 32-bit RGBA pixel buffers, discarding fully transparent pixels to prevent artificial color bias.
K-Means++ Seeding
Seeds initial centroids with maximum Euclidean distance spread across the 3D RGB color gamut.
Iterative Centroids
Iterates pixel assignments until centroid convergence, calculating accurate cluster percentages.
Multi-Format Export
Generates color histograms, accessibility metrics, CSS variables, and downloadable JSON/CSV files.
How to Extract Colors from Images in 8 Easy Steps
Follow this simple workflow to generate color palettes and inspect individual pixels.
Upload Image
Drag & drop or select your JPG, PNG, WebP, BMP, or GIF.
Automatic Analysis
The engine automatically clusters pixels into dominant hues.
Adjust Color Count
Choose between 3 to 12 palette colors dynamically.
Sort Palette
Sort by Dominance (%), Hue angle, or Lightness.
Eyedropper Inspect
Click any pixel on the preview to sample exact coordinates.
Inspect Histogram
View the 256-bin RGB channel intensity distribution chart.
1-Click Copy
Click any swatch card to copy its exact HEX code.
Export Palette
Download as JSON, CSV spreadsheet, or copy CSS Variables.
Frequently Asked Questions
Answers to common questions about K-means color clustering, HEX/RGB conversions, and palette exports.