How to Extract a Color Palette from Any Image (Free & Instant)

Want to match the colors of a photo for your design? Extracting a palette from an image takes seconds and gives you exact HEX, RGB, and HSL values.

Every photograph contains a color story. The warm terracotta and dusty sage of a Tuscan landscape. The deep navy and bright orange of a sports brand. The muted tones of a minimalist interior. Designers extract these palettes to create cohesive visuals, match brand photography, and build color schemes that feel natural and intentional.

Why extract colors from images

The most common use case is brand consistency. If you're redesigning a website to match a company's existing photography, you need the exact colors from those photos — not approximations. Manually eyedropping individual pixels takes time and gives you one color at a time. An extraction tool analyzes the entire image and surfaces the dominant colors at once.

Other common uses: pulling inspiration from a Pinterest image, matching a product's colors for marketing material, building a color scheme based on a landscape photo, or recreating the palette of a competitor's design.

How color extraction works

Modern color extraction uses a technique called quantization. The algorithm samples pixels from across the image and groups similar colors together using clustering (often k-means clustering). The center of each cluster becomes one of the "dominant colors." You control how many clusters to create — more clusters give you more nuance, fewer give you the boldest simplified palette.

Toolozo's Color Palette Extractor lets you choose between 4, 6, 8, 10, or 12 colors. For a brand palette, 5–6 colors is usually plenty. For detailed gradient recreation, 10–12 can be useful.

HEX vs RGB vs HSL — which format to use

HEX (#1a2b3c) is the most universal format. Use it for web CSS, design tools, and anywhere that accepts color codes.

RGB (rgb(26, 43, 60)) is useful when you're working in environments that require numeric channels, like data visualizations, print prepress, or some programming libraries.

HSL (hsl(210, 40%, 17%)) is the most human-readable. Hue is the color name (0–360 degrees around the color wheel), Saturation is the intensity, and Lightness is how light or dark it is. HSL makes it easy to create harmonious variations — just adjust the lightness to get tints and shades.

Privacy: your image stays on your device

The color extraction runs entirely in your browser using the Canvas API. Your image is processed locally — nothing is uploaded to any server. This matters when you're working with client photos, confidential mockups, or any image you'd rather not send to a third party.