Find Any Color From an Image
Upload an image, click any pixel, and instantly get HEX, RGB, HSL, OKLCH and more. Analyze palettes, check accessibility, and export your colors — privately in your browser.
Drag & drop an image here
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What Is a Color Finder From an Image?
A color finder from an image is a tool that lets you identify the exact color of any pixel in a photo or screenshot. Instead of guessing a hex code or trying to match colors by eye, you simply upload an image, hover over the area you are interested in, and click. The tool reads the pixel data and gives you the color in HEX, RGB, HSL, and other formats you can use directly in your design or code.
Unlike basic pickers, a complete color finder also helps you extract entire palettes from an image, understand color distribution, check accessibility contrast, and export the results in the formats your workflow needs — whether that is CSS variables, JSON, or a shareable PNG.
How to Find a Color From an Image
- 1. Upload an image. Drag and drop a file, paste from clipboard, or try the sample image.
- 2. Hover over the desired area. A magnifier shows you the exact pixel under your cursor.
- 3. Use the magnifier. The 9×9 grid lets you see individual pixels for precision picking.
- 4. Click to sample. The color appears instantly with all its format values.
- 5. Copy HEX, RGB, HSL, or any format. Click the copy button next to each value.
- 6. Build a palette. Add multiple colors, extract a palette, or generate harmonies.
- 7. Export. Download CSS, SCSS, JSON, SVG, or PNG of your palette.
How It Works
When you upload an image, it is loaded directly into your browser. The tool uses the HTML5 Canvas API to read pixel data — the same technology that powers image editing software. No image data is sent to a server. The color conversions use established color science formulas, including OKLab and OKLCH for perceptually uniform color space calculations, and WCAG 2.1 contrast ratio formulas for accessibility checking.
Palette extraction uses median cut quantization, a well-established algorithm that divides the color space into regions and finds representative colors. For large images, the analysis runs on a downsampled version to keep things fast, while pixel picking always reads from the full-resolution source for accuracy.
Common Uses
Website Design
Extract brand colors from a logo or reference image to build your site palette.
Branding
Identify the exact colors used in competitor materials or mood boards.
UI Design
Pick colors from screenshots to match an existing design system.
Photography
Analyze the color palette and dominant hues of your photos.
Social Media
Create cohesive color themes for your social media presence.
Graphic Design
Build palettes from inspirational images for print and digital work.
Development
Generate CSS variables and design tokens from any image.
Accessibility
Check contrast ratios and simulate color blindness for your designs.
Frequently Asked Questions
Is my image uploaded to a server?
No. When you upload a file, it is processed entirely in your browser using the Canvas API. Your image data never leaves your device. The only exception is if you load an image via a URL — in that case, your browser fetches the image directly from the source server.
What color formats are supported?
HEX, HEX8 (with alpha), RGB, RGBA, HSL, HSLA, HSV, HSVA, CMYK, OKLab, and OKLCH. Every format has a copy button so you can grab the exact representation you need.
How accurate is the pixel picking?
The tool reads from the original, full-resolution image data — not the downscaled display version. Even if the image is zoomed or scaled on screen, clicking gives you the color of the actual source pixel at those coordinates.
What is the magnifier for?
The magnifier shows a 9×9 pixel grid centered on your cursor, so you can see individual pixels and pick the exact one you want. This is especially useful on textured or compressed images where adjacent pixels may differ slightly.
What is area sampling?
Instead of picking a single pixel, you can sample the average, median, or dominant color of a small area (3×3, 5×5, 11×11, or 21×21 pixels). This helps when a single pixel is noisy due to compression or texture.
How does palette extraction work?
The tool uses median cut quantization — an algorithm that divides the image colors into clusters and finds the most representative color in each. You can choose different modes (dominant, vibrant, muted, light, dark, balanced) to bias the result toward specific color characteristics.
Can I check if my colors are accessible?
Yes. The built-in contrast checker calculates WCAG 2.1 contrast ratios and tells you whether your foreground/background combination passes AA and AAA levels for normal and large text.
Can I export my palette?
You can export as CSS custom properties, SCSS variables, JSON, SVG, or a PNG palette card. You can also copy individual color values or all HEX codes at once.