Upload an image and click to pick any color
Drop an image here or click to upload
Upload any image and click on it to extract colors. Get the exact HEX, RGB, and HSL values. Build a palette from your image. Everything runs locally in your browser.
Extracting colors from images is a core design workflow. Whether you're matching a brand color from a logo, creating a color scheme inspired by a photograph, identifying exact colors in a UI screenshot, or sampling nature photography for palette inspiration — you need to go from pixels to precise color values. This tool combines two approaches: point-and-click color picking (click anywhere to get that exact pixel's color) and automatic palette extraction (analyzing the entire image to find dominant colors). The palette extraction uses color quantization algorithms to identify the most significant colors, ignoring noise and near-duplicates. All processing happens in your browser using Canvas API — your images are never uploaded to any server.
JPG, PNG, GIF, WebP, SVG, and BMP. The image is loaded into an HTML Canvas element for pixel-level color analysis. Very large images may take a moment to process.
Color management can cause differences — your monitor's ICC profile, image color space (sRGB vs Adobe RGB), and browser rendering all affect display. The hex value is the actual pixel data, which may differ from how it appears on screen.
The algorithm samples pixels across the image, groups similar colors using k-means or median cut quantization, then returns the most dominant clusters as a palette. This gives you the image's essential colors without noise.
Absolutely — take a screenshot, upload it, and click to pick any color. This is the fastest way to identify exact colors in any app, website, or design file without accessing the source code.
The automatic extractor typically identifies 5-8 dominant colors. You can always click-pick additional specific colors manually. For detailed analysis, extract more colors by adjusting the palette size.