🌈 Color Palette Extractor

Last updated: January 27, 2026

Color Palette Extractor

Upload a photo β€” get dominant HEX swatches ranked by prominence

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Click to upload or drag & drop

PNG, JPG, WEBP, GIF supported

Preview

Dominant Palette

Prominence

How to Extract a Color Palette from Any Photo (Step-by-Step)

Every great design starts with the right colors. Whether you are building a brand identity, designing a social media post, or picking paint for a room inspired by a vacation photo, knowing the exact colors inside an image is invaluable. A color palette extractor does this automatically β€” it analyzes every pixel in your photo and distills it down to the 5–10 colors that define its visual feel.

In this tutorial you will learn exactly how to use our browser-based Color Palette Extractor, what the results mean, and how to apply those HEX codes in real design work.

Step 1: Choose the Right Source Image

The quality of your palette depends heavily on the photo you start with. A few things to keep in mind before uploading:

  • High contrast images produce more distinct swatches. A photo of a sunset with deep oranges against dark blues will give you a palette with clear, usable contrast.
  • Busy, noisy images (crowded street scenes, patterned textiles) can produce many similar muddy mid-tones. If you want a clean palette from a busy image, try cropping to the most visually interesting region first.
  • Product photos on white backgrounds will always produce white as the dominant color. Crop to the product itself for more useful swatches.
  • Any common format works β€” JPG, PNG, WEBP, and even animated GIFs (the first frame is used). The tool works entirely in your browser, so your image never leaves your device.

Step 2: Upload Your Photo

Click the upload zone or drag and drop your file directly onto it. The tool accepts images from your computer, phone gallery, or even a screenshot. Once the file loads, a small preview appears so you can confirm you selected the right image.

You do not need to resize your image beforehand. Internally, the extractor scales it down to a smaller working copy for processing speed β€” but it reads the full color data from the original before doing so.

Step 3: Pick How Many Swatches You Want

Use the "Swatches" dropdown to choose between 5, 7, or 10 colors. Here is a simple guide for when to use each:

  • 5 swatches β€” Best for brand palettes, logos, or when you need a tight, harmonious set. Fewer colors means the algorithm focuses on the most dominant hues only.
  • 7 swatches β€” The default, and a good all-purpose choice. You get the dominant colors plus a few interesting accent tones you might not have noticed.
  • 10 swatches β€” Ideal for detailed illustrations, paintings, or fashion photography where subtle color variations matter. You may see near-duplicate shades, which is actually useful when you need to pick between similar tones for typography or borders.

Step 4: Extract the Palette

Click the "Extract Palette" button. The tool runs a mathematical algorithm called K-Means clustering directly in your browser using JavaScript and the HTML5 Canvas API. Here is what happens under the hood:

  1. The image is drawn onto an invisible canvas element.
  2. Every few pixels, the tool samples the RGB color value (red, green, blue channels).
  3. All sampled colors are grouped into clusters β€” pixels with similar colors end up in the same cluster.
  4. The algorithm repeatedly recalculates the "center" of each cluster (the average color) until the centers stop moving significantly.
  5. Each cluster center becomes one swatch, and the cluster size determines the prominence percentage.

The whole process takes under a second for most images. No data is sent to any server.

Step 5: Read the Results

Once the palette is ready, you will see two output sections:

The swatch grid shows each extracted color as a colored tile with its HEX code below it (for example, #3B82F6) and the percentage of the image that color accounts for. Swatches are arranged from most dominant to least dominant.

The prominence bars give you a quick visual comparison of how much space each color occupies. A wide bar means that color is everywhere in the photo. A narrow bar means it is an accent β€” visible but not dominant.

Step 6: Copy HEX Codes and Use Them

Click any swatch card to copy its HEX code to your clipboard instantly. The card briefly shows "Copied!" so you know it worked. Then paste the code wherever you need it:

  • Figma / Adobe XD: Press K to open the color picker, paste the HEX into the field at the bottom.
  • CSS: Use directly as color: #3B82F6; or background: #3B82F6;
  • Canva: Click "Brand Kit" β†’ "Add a color" β†’ paste the HEX.
  • PowerPoint / Keynote: Shape fill β†’ More colors β†’ paste into the HEX field.
  • Tailwind CSS: Extend your config with the exact HEX as a custom color token.

Pro Tips for Better Palettes

Use photography that matches your brand mood. If you are building a calm, wellness brand, upload a photo of misty forests or ocean waves. The extracted palette will naturally have the calming greens, greys, and blues that match that feeling.

Try multiple crops of the same image. The sky portion of a landscape gives you one palette; the foreground gives you another. Together, they form a complete, cohesive system.

Check accessibility. Once you have your HEX codes, paste them into a contrast checker tool to make sure your text colors are readable against your background colors. Good design is both beautiful and accessible.

Save palettes for consistency. When you find a palette you love, write down all the HEX codes in a shared document or design system file. Consistent color use across all your materials is what makes a brand look professional and intentional.

Why HEX Codes Instead of RGB or HSL?

HEX is the most universally accepted color format across web tools, design apps, and front-end code. Every design tool in existence accepts HEX codes, which is why this tool outputs them. If you need RGB or HSL instead, the conversion is simple: RGB splits the HEX into three two-character groups and converts each from base-16 to base-10. HSL can be derived from RGB with a short formula β€” many online converters handle this in seconds.

By starting with HEX from this tool, you always have a clean baseline to convert from as needed.

FAQ

Does my image get uploaded to a server?
No. The entire extraction process runs inside your browser using the HTML5 Canvas API and JavaScript. Your image never leaves your device, so there are no privacy concerns regardless of what the photo contains.
Why do I sometimes get similar-looking colors instead of distinct swatches?
This happens when the image itself is dominated by a narrow color range β€” for example, a portrait with lots of skin tones, or a monochrome landscape. The K-Means algorithm finds the true dominant colors accurately; it just means the image genuinely does not have 10 visually distinct hues. Try reducing the swatch count to 5 for a cleaner result, or crop to a region with more color variety.
What does the percentage next to each swatch mean?
It represents how much of the sampled pixel data in the image belongs to that color cluster. A swatch showing 34% means roughly a third of the image pixels are closest to that color. Higher percentages indicate more visually dominant colors.
Can I use the extracted HEX codes for commercial design work?
The HEX codes are just numbers describing colors β€” colors themselves cannot be copyrighted. You are free to use extracted palettes in any commercial project. Just ensure you have the rights to use the source photograph itself for any commercial purposes.
Why does the tool scale down my image? Will that affect accuracy?
The tool samples the image at a reduced resolution purely for speed β€” a 20-megapixel photo contains over 80 million data points, which would take several seconds to process. The scaled-down sample still contains hundreds of thousands of color samples, which is more than enough for statistically accurate color clustering. The palette accuracy is not meaningfully affected.
How is this different from just eyedropping colors manually in Photoshop?
Eyedropping picks one specific pixel's color, which might be a highlight or shadow that does not represent the overall tone. A palette extractor analyzes the entire image statistically and finds colors that best represent large regions. This gives you the actual dominant palette rather than a few cherry-picked samples that may miss important hues.