Color Picker from Image: Extract Any Color
Upload an image and click anywhere to pick a color.
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About Color Extraction
A color picker tool lets you extract exact color values from any image: a photograph, a screenshot, a logo, or a scanned fabric swatch. Instead of guessing which shade of blue a brand uses, you can upload the image and click directly on the pixel you want. The tool reads the pixel data and converts it into the most common color formats: HEX for web, RGB for code, and HSL for intuitive adjustments.
This is invaluable for designers who need to match a color from a physical object (photographed), extract a color from a competitor's website (screenshot), or pull brand colors from a logo that was supplied as a raster image without accompanying specs. The canvas-based approach means all processing happens locally in your browser, so your images are never uploaded to a server.
For the most accurate results, use a high-resolution image and zoom into the area of interest before clicking. Photographs are affected by lighting, compression artifacts, and monitor calibration, so the sampled color is a close representation, not a lab-measured value. If you plan to reproduce the sampled color in print, our printer calibration guide explains how monitor calibration and ICC profiles affect the screen-to-print pipeline.
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Extracted colors depend on image quality, compression, and display calibration. See our methodology and full disclaimer.
Frequently Asked Questions
Are my images uploaded to a server?
No. All processing happens locally in your browser using the HTML5 Canvas API. Your images never leave your device and are not stored or transmitted anywhere.
What color formats does this tool output?
When you click on a pixel, the tool shows the color in HEX, RGB, and HSL formats. You can copy any of these values with one click for use in CSS, design tools, or code.
How do I get the most accurate color from a photo?
Use a high-resolution image, zoom into the area of interest, and click precisely on the pixel you want. Photographs are affected by lighting, compression, and monitor calibration, so the sampled value is approximate.