How to Extract a Color Palette from an Image

What "extracting a palette" really does

A photo can contain hundreds of thousands of different pixel colors. A palette extractor groups pixels that look alike and reports one representative color for each group. The groups are found with a clustering method: pixels are compared by how different they look to the human eye, nearby shades are merged, and the biggest groups win.

Two consequences are worth knowing:

• The palette depends on the picture's proportions. A landscape that is 60% sky will list sky tones first. That is accurate, but it may not be the colors you find most interesting.
• Extraction is not the same as picking. Picking reads one pixel. Extracting summarizes many. If you need the exact color of one logo or one flower, use a picker (see How to Pick HEX Colors from Any Image).

Step by step: extract a palette from an image

1. Open your image

Drag the file onto the tool or use the browse button. The extractor accepts the formats your browser can decode, such as PNG, JPG, WebP, GIF, AVIF, BMP and SVG. The tool shows the file name, dimensions and size so you can confirm you loaded the right file.

Because the work happens locally, nothing is sent to a server to extract the colors. That matters if the image is a client's unreleased design.

2. Choose how many colors

The tool offers 5, 8, 10 or 12 colors, and you can add or remove individual colors afterwards.

If you are unsure, start with 8 and delete what you do not need. Removing a color is faster than guessing which one is missing.

3. Adjust the settings if the result looks off

Three settings change how the palette is built:

• Variety. Higher values merge similar shades into one; lower values keep subtle differences. If your 8 colors look like four colors repeated, raise it. If a distinct accent color disappeared, lower it.
• Ignore white / ignore black. Product shots on a white background will list white first. Turning on "ignore white" removes it so the product's colors come through. The same applies to black borders.
• Precision. The image is sampled at 128, 256 or 512 pixels before analysis. Fast is fine for most photos; Detailed helps when a small but important detail (a logo on a shirt) is being missed.

4. Read the percentages

Each color shows the share of the image's pixels grouped into it. In the tool this share is reported as the proportion of the image's pixels that fall into that color group; it is a measure of area, not of how much your eye notices the color.

5. Edit, lock and regenerate

This is where an extracted palette becomes a designed one:

• Open a color's details to edit its HEX value if you need a slightly different shade.
• Lock the colors you like, then regenerate. Locked colors keep their place and the rest are recalculated, so you can explore alternatives without losing your favorites.
• Add a color by clicking on the image, which adds the color under the cursor.

6. Export

Copy the HEX, RGB, HSL or CMYK value of any color, or export the whole palette as a PNG, an SVG, CSS variables, JSON or an ASE swatch file. CMYK values are a mathematical conversion from RGB, so treat them as a starting point for print rather than an exact ink recipe. If a design app rejects the ASE file, use the CSS or JSON export instead.

A worked example

To show real numbers, we made a simple sunset illustration (640 × 400 pixels) and loaded it into the Color Palette Extractor, asking for five colors at the default settings. The tool returned:

Treat these as one run, not a fixed answer. The tool starts each newly loaded image from a different internal starting point, so shades can shift slightly between runs of the same image (in our repeated runs the deep sea color stayed #12233D at 34% every time, while the orange, red and sand tones shifted noticeably in shade, though they stayed in the same color family). Locking the colors you like, then regenerating, is how you keep the result steady.

Asking for eight colors on the same image split the orange and plum areas into several shades each and added the small pale sun (#FFECAA, 2.9%). That is a useful lesson: more colors add detail, not importance. The sun is the focal point of the picture but only 2.9% of its area, so it comes last in an area-ranked list.

Which images give the best palettes

• Photos with a clear subject and a consistent light source produce palettes that look harmonious.
• Flat illustrations and logos return their exact colors, since there are few distinct values.
• Busy images with many unrelated colors (a market stall, a crowd) yield noisy palettes; reduce the count or crop to the area you care about first.
• Heavily compressed JPEGs contain artifacts that can add faint off-colors. Raising "variety" usually hides them.
• Images with transparency: fully or mostly transparent pixels are ignored, so a PNG logo on a transparent background gives the logo's colors.

When the palette does not look right

Turn the palette into something usable

An extracted palette is raw material. Before you use it:

1. Assign roles. Decide which color is the background, which is text, which is the accent.
2. Check contrast. Text on a background should reach at least a 4.5:1 contrast ratio under WCAG guidelines for normal-size text (3:1 for large text). The tool shows how each color looks on white and on black, and the optional AI consultant only suggests text/background pairs that pass 4.5:1.
3. Build harmonies. Pick a base color and generate complementary, analogous, triadic, split complementary or monochromatic variations. The tool marks generated colors separately from extracted ones, so you always know which colors came from your image.
4. Convert formats as needed. The Color Converter handles HEX, RGB and HSL if you need a code in another notation.

For a full method to go from palette to brand system, see How to Create a Professional Brand Color Palette.

Conclusion

Extracting a palette takes seconds; making it good takes a few decisions: how many colors, what to ignore, which ones to lock. Start from an image that already feels right, extract, tidy up and test contrast before you commit.

Ready to try it? Open the Color Palette Extractor and drop in an image. Your picture stays in your browser.

Sources and notes: WCAG contrast thresholds are from the W3C Web Content Accessibility Guidelines 2.x. Color values in the worked example come from a real run of the tool on the illustration included in assets/; your own run may differ slightly.