Image Color Extractor

It uses ColorThief, which samples pixels across the image and groups them into clusters by similarity, a process called quantization. Each swatch represents the center of one cluster, so the palette reflects the colors that actually cover area in the photo rather than rare single pixels.

No. The image is decoded into a local canvas element and analyzed entirely in your browser. That makes the tool safe for unreleased product photography and anything under NDA.

Anything your browser can render as an image: JPG, PNG, WebP, GIF, even SVG in most browsers. The size cap is 20 MB, which comfortably covers full-resolution camera exports.

Dominant means most common, not most vibrant. A photo of a red sneaker on a gray backdrop is mostly gray by pixel count, so gray wins. Crop the image to the subject before uploading if you want the product itself to drive the result.

Yes, screenshots work exactly like photos. It's a quick way to study a competitor's color scheme or recover hex values from a mockup someone flattened into a PNG.

Treat it as raw material. Extracted swatches often cluster in one temperature range and rarely include enough light-dark spread for UI work. Run your picks through the Color Contrast Checker before committing them to text and backgrounds.

They're faithful to the pixels in the file you upload, but JPEG compression and camera white balance already shifted those pixels from the real object. For print-critical color matching, confirm against a physical reference with the Pantone Color Lookup.