Are uploaded images saved on a server?

No, they are not saved. All image processing and color extraction algorithms are executed using the Canvas API in your browser (local environment). Image data is never sent to external servers over the internet, so you can safely use it even for highly sensitive images.

What image formats are supported?

It supports common web image formats: JPG, PNG, GIF, WebP, and SVG. The file size limit is up to 10MB, which ensures sufficient capacity for most use cases.

How accurate are the extracted colors?

Since it directly reads pixel data on the Canvas, you can get 100% accurate colors (in the sRGB space) at the pixel level. Furthermore, by using the keyboard arrow keys after clicking, you can accurately select and extract even subtle color differences in adjacent pixels.

Can CMYK colors be used directly for printing?

The CMYK values provided by this tool are theoretical figures based on approximate calculations from RGB values. For professional printing (DTP), they depend on color profiles (such as Japan Color), so it is recommended to use them only as reference values and perform final checks with dedicated software like Illustrator.

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image color picker,

Image Color Picker

Extract exact colors from images instantly.
Automatically extract dominant color palettes and adjust with keyboard.

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Pixel-Perfect Extraction

Accurately get pixel colors with a magnifying loupe and arrow keys

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Dominant Color Analysis

Automatically extract the top 8 representative colors from the image

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5 Color Formats

Supports HEX, RGB, HSL, CMYK, and the modern OKLCH

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Drag & Drop Image

or click to select file / Ctrl+V to paste

JPG PNG GIF WebP SVG Max 10MB

* Images are processed locally in your browser and are never sent to a server.

✅ Copied!

CSS View Transition Generator

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Color Converter

↔️

CSS Clamp Generator

about,

About Image Color Picker

Image Color Picker is a free online tool that allows you to extract specific color information from images, photos, and illustrations, providing you with color codes such as HEX, RGB, HSL, CMYK, and OKLCH. With advanced client-side processing using the browser's Canvas API, uploaded images are never sent to external servers, ensuring safe and fast operation.

It is highly useful for web designers and front-end engineers to investigate key colors of reference designs or create color palettes matching the mood of photos. In addition to pixel-perfect color extraction using the color picker tool, it also features an auto-extraction function to analyze the dominant colors of the entire image.

how to,

How to Use

STEP 1

Upload an image

Drag and drop the image you want to extract colors from into the top area, or click to select a file. It also supports pasting from the clipboard (Ctrl+V / Cmd+V). Loading is instantaneous and processed in your browser.

STEP 2

Pick a specific color with the color picker

Select the "Color Picker" tab and click on the area of the image you want to check. A magnifying loupe will appear, allowing you to accurately target fine pixels. After clicking, you can also make pixel-by-pixel fine adjustments using the arrow keys (↑↓←→) on your keyboard.

STEP 3

Automatically extract dominant colors

Switch to the "Auto Extract" tab to automatically analyze and generate a palette of the top 8 representative colors (dominant colors) used most frequently in the image. By clicking "Copy CSS Vars" from this palette, you can paste and use them directly in your project's stylesheet.

glossary,

Glossary of Image Color Picker

HEX (Hexadecimal Color Code): The most commonly used color representation method in web design. It represents red, green, and blue values in hexadecimal from 00 to FF, expressed as a 6-character string like #FF5733. It is essential for specifying colors in HTML and CSS.
OKLCH: A modern CSS color definition method using a perceptually uniform color space. Composed of Lightness, Chroma, and Hue, it closely matches human visual characteristics better than traditional HSL, offering the advantage of easily creating color palettes with consistent contrast ratios.
Dominant Color: The primary color that is most prevalent in an image or design and determines its overall impression. This tool uses the Median Cut algorithm to analyze the image and automatically extract the top 8 visually impactful colors.
Median Cut Algorithm: A type of algorithm often used for image color quantization. It efficiently generates a representative color palette by placing all pixels in a 3D RGB color space and repeatedly splitting the space along the color axis with the greatest variance.
Color Palette: A combination of colors used in a design. It is a set of colors that define a base color, accent color, etc., to achieve a cohesive and unified design.

faq,

Frequently Asked Questions

Q.Are uploaded images saved on a server?: No, they are not saved. All image processing and color extraction algorithms are executed using the Canvas API in your browser (local environment). Image data is never sent to external servers over the internet, so you can safely use it even for highly sensitive images.
Q.What image formats are supported?: It supports common web image formats: JPG, PNG, GIF, WebP, and SVG. The file size limit is up to 10MB, which ensures sufficient capacity for most use cases.
Q.How accurate are the extracted colors?: Since it directly reads pixel data on the Canvas, you can get 100% accurate colors (in the sRGB space) at the pixel level. Furthermore, by using the keyboard arrow keys after clicking, you can accurately select and extract even subtle color differences in adjacent pixels.
Q.Can CMYK colors be used directly for printing?: The CMYK values provided by this tool are theoretical figures based on approximate calculations from RGB values. For professional printing (DTP), they depend on color profiles (such as Japan Color), so it is recommended to use them only as reference values and perform final checks with dedicated software like Illustrator.

use cases,

Use Cases

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Web Design and Coding

Extract accurate brand colors (HEX/RGB) from screenshots of reference sites or logo images provided by clients, and apply them to CSS. Using the auto-extraction feature, you can instantly identify candidates for base colors, main colors, and accent colors.

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UI Color Schemes Matching Photos

Extract dominant colors from thumbnail images of articles or photos placed in hero headers. By setting those colors as background colors for text or buttons, you can achieve beautiful page designs where images and UI harmonize.

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Creating Color Palettes for Illustrations

Extract striking color combinations (color palettes) from works of favorite illustrators or beautiful landscape photos. Copy the extracted colors in bulk as CSS variables, and utilize them as color scheme ideas for your own original works.

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Reference Colors for Photo Retouching and Correction

When editing photos, accurately obtain color information of specific areas, such as skin tones or sky colors, at the pixel level. Utilize them as a baseline for white balance adjustment and color grading.