Extract Colors from an Image (Dominant Color Extractor)

Upload an image to automatically extract its dominant colors — the representative colors used in a photo or illustration. All processing happens entirely in your browser; the image is never sent to a server.

Last updated: 2026-09-03

How to Extract Colors from an Image

When you want to know which colors are most heavily used in a photo, illustration, or logo, picking them out one by one with an eyedropper tool is tedious. This tool does the work for you: simply upload an image, and it automatically lists the representative colors — the so-called dominant colors — that occupy the largest areas of the image. HEX codes and RGB values are shown right away, ready to copy straight into CSS, Figma, Photoshop, or any other design tool you happen to be using.

Under the hood, the tool draws the image onto an HTML Canvas element and reads its raw pixel data. Similar colors are grouped together (quantized) into coarse buckets, the occurrences of each bucket are counted, and the most frequent buckets are chosen as the representative colors. Transparent areas in PNG images are automatically excluded from this count, so even a cut-out subject with a see-through background produces results centered on the subject's own colors rather than the background. Large images are downscaled internally before processing, so even multi-megapixel photos are analyzed almost instantly. Because every calculation happens locally in your browser, your image data never leaves your device, which makes the tool safe to use even with sensitive or private photos.

Steps to Extract Colors from an Image

Upload an image Drag and drop an image file into the drop area, or click it to choose a file from the picker dialog.
Choose how many colors to extract Pick 4, 8, or 12 from the "Number of colors to extract" option. The results are recalculated instantly whenever you change the selection, with no need to re-upload the image.
Review the extracted swatches Color swatches appear in order from most to least frequent. Each swatch shows its HEX code and RGB values alongside it.
Copy a HEX code Click the copy button beneath any swatch to send that HEX code straight to your clipboard, ready to paste into CSS or a design application.

Tips for getting more out of it

Click the copy button below each swatch to copy its HEX code to the clipboard — ready to paste directly into CSS or your design tool.
Choose 4, 8, or 12 colors to extract. Pick 4 for a simple logo palette, or 12 to capture the subtle variations in a detailed photo.
Transparent areas in PNG images are automatically excluded, so the extracted colors focus on the actual subject rather than the background.
All processing runs locally in your browser using the Canvas API — the image itself is never sent to any server, so it's safe to use with sensitive images.
Colors are listed from most to least frequent. The colors shown first occupy the largest area in the image.

Ways to Use This Tool

Build a color scheme from an existing logo

Upload a logo image to pull out the exact colors it uses as HEX codes, making it easy to keep a website or slide deck visually consistent with the brand.

Find brand color candidates from product photos

Extracting the representative colors from packaging or product photography gives you concrete material to consider when deciding on a corporate color or an accent color for a campaign page.

Understand the color balance of a photo or illustration

Switching between 4 and 12 extracted colors lets you see both the overall tone of an image at a glance and the finer breakdown of shades once you look closer.

Hand colors off to CSS or a design tool

Copy an extracted HEX code and paste it directly into a CSS variable or the color picker in Figma or Photoshop, skipping the manual work of transcribing colors by eye.

Glossary

Dominant color: The color that occupies the largest area of an image, or appears most frequently within it. The swatches this tool lists are exactly these dominant colors, ranked by how much of the image they cover.
HEX code: A notation that represents a color's red, green, and blue components as a two-digit hexadecimal number each, such as "#3366cc". The "#" is followed by red, then green, then blue, and this format is used widely across CSS and design software.
RGB value: A way of specifying color using the three primary colors of light — red, green, and blue — each expressed as a number from 0 to 255. Combining these three numbers can reproduce nearly any visible color.
Color quantization: The process of rounding similar colors together into a smaller number of groups. This tool divides each RGB channel into buckets of 32 units, so that minor color variation introduced by JPEG compression, for example, is counted as the same color rather than treated as noise.
Alpha value (transparency): A value describing the opacity of each individual pixel in an image. See-through areas of a transparent PNG have a low alpha value, and this tool automatically excludes such pixels from its color tally.
Canvas API: A browser-based JavaScript interface for drawing and analyzing images and graphics. This tool uses it to read an image pixel by pixel and extract its colors entirely on your device, without ever sending the data to a server.

Frequently Asked Questions

This tool uses a simple algorithm that quantizes the image into coarse color buckets and returns the average color of the most frequent bucket as the representative color. It's good enough for getting a quick sense of an image's overall color tones, but keep in mind it isn't as precise as more rigorous clustering methods (like k-means) used in professional color palette tools.

No. This tool uses the Canvas API to load the image and extract colors entirely within your browser (client-side). The image data is never sent to a server, so it's safe to use even with sensitive images.

Any common image format that a browser's tag can display — including JPEG, PNG, WebP, and GIF — should work, matching whatever formats your browser's file picker accepts for images.

Yes. Each color is shown as a HEX code (e.g. #3366cc) that you can copy to the clipboard with one click, so you can paste it directly into Figma, Photoshop, CSS, or any other tool that accepts HEX color values.

Side Note — The work of finding brand colors from photos

Extracting the colors used in a photo or product package is a routine task in web and graphic design work. When building a brand's visual guidelines, designers often start by pulling representative colors out of existing photos or logos, then use those as candidates for a corporate or accent color. What used to be done by eye with an eyedropper tool, one color at a time, can now be automated with algorithms like the dominant color extraction used here.

There are many algorithms for color extraction. The bucket-quantization-and-frequency approach used by this tool rounds each pixel's RGB value into a coarse group and counts how often each group appears — a simple technique that's cheap to compute and runs fast. More advanced approaches, such as k-means clustering, group colors based on distance in color space and can produce more natural-looking groupings, at the cost of heavier computation.

One interesting quirk is how differently the same image can look depending on how many colors you extract. Pulling just 4 colors reveals the broad tone of an image — whether it leans warm or cool — while extracting 12 starts to pick up subtle variations from shadows and reflected light. Adjusting the count lets you pull different levels of detail out of the very same image.

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