Image Color Extractor
The image color picker extracts a palette of dominant colors from any uploaded photo or image file. Upload any JPEG, PNG, or WebP image and the tool analyzes the pixel data to identify the most represented colors. All processing runs entirely in your browser, no image is sent to any server. Export results as CSS variables or individual HEX codes.
Click to upload or drag & drop
JPEG, PNG, WebP, GIF
Number of colors to extract
Upload an image above to extract its dominant colors
How to extract colors from image files
Click the upload area to select an image file from your device, or drag and drop directly onto the tool. The extract colors from image process runs immediately after upload using the Canvas API to read pixel data. The algorithm groups similar colors and identifies the most visually dominant hues, then displays them as a set of swatches with HEX, RGB, and HSL values.
For best results, use images that have clear, distinct color regions. Photographs with complex textures and gradients produce valid palettes but may return more muted, averaged tones rather than saturated accents. Illustrations, flat-design artwork, and brand photography with strong color blocks extract the most immediately useful palettes for use in design projects.
Color palette from photo: use cases and export
Extracting a color palette from photo sources is useful whenever you need to match a design to an existing image, for product pages, editorial layouts, brand photography campaigns, or any project where the visual direction is set by visual assets rather than a predefined brand guide. The extracted palette gives you an accurate starting point that is guaranteed to be harmonious with the image.
After extraction, copy individual HEX codes for use in design tools, or export the full palette as CSS custom properties. The image palette generator output follows the --color-1 through --color-N naming convention for CSS variables, making it ready to paste into a :root block. You can also use the extracted colors as inputs for the palette generator or tints and shades generator to build a complete design system based on the photo.
Frequently asked questions
The tool uses the Canvas API to read pixel data from your uploaded image, then applies a median cut color quantization algorithm to group similar colors and identify the most represented hues. This produces a palette that reflects the actual visual weight of color regions in the image rather than listing the most frequently occurring raw pixels.
The tool supports JPEG, PNG, WebP, and GIF image files. Any format your browser can render is supported since the file is loaded into an HTML Canvas element for processing. Animated GIFs are processed on the first frame only. Clear color regions produce better results than heavily textured photographs.
No. All image processing happens entirely within your browser using the Canvas and FileReader APIs. The image data never leaves your device. No server request is made, no image is stored or logged, and no account is required. You can verify this by checking your browser's network tab while using the tool.
The tool extracts a palette of 5 to 10 dominant colors depending on the complexity and color variety of the image. For simple images with large flat color regions, the palette reflects those distinct areas. For complex photographic images, the algorithm groups perceptually similar colors to produce a manageable set of representative swatches.