Image Palette Extractor

Extract dominant color palettes from images with hex, RGB, and HSL values and downloadable swatches.

Tested tool guide Tested browser tools Checked August 16, 2026

What Image Palette Extractor does, with a checked example

Image Palette Extractor turns a selected picture into a compact list of its dominant colors, showing each swatch in hex, RGB, and HSL and offering the swatches as a download. It summarizes the image's pixel colors rather than identifying named objects or recovering an original design palette. The common surprise is that a visually important accent may be omitted when it occupies little area. Image processing stays in the browser, which is relevant when the source is an unpublished photo or other sensitive artwork.

Worked example

A concrete input and expected output from the current implementation.

Input

Upload an opaque 1 x 1 PNG whose only pixel is #336699.

Expected output

Extracted color: #336699; RGB: rgb(51, 102, 153); HSL: hsl(210, 50%, 40%).

The sole pixel has red, green, and blue channel values 51, 102, and 153, so it is necessarily the dominant color. Normalized channel values of 0.2, 0.4, and 0.6 convert to a 210-degree hue, 50% saturation, and 40% lightness.

How the result is produced

From pixels to a palette

After an image is selected, the tool reduces the colors present across its pixels to a compact dominant palette. Large, repeated regions normally affect that summary more than a few isolated pixels. Photographs often contain thousands of neighboring shades, so one reported swatch can represent a broader visual region rather than indicate that every source pixel has that exact value.

Reading each swatch

For each extracted swatch, hex, RGB, and HSL describe the same color. Six-digit hex writes red, green, and blue as hexadecimal byte pairs; RGB shows their decimal channel values; HSL expresses hue, saturation, and lightness. Changing notation does not create a different color. The downloadable swatches preserve the extracted palette as a convenient visual reference.

Good uses

Derive a small set of candidate interface colors from an approved hero photograph before assembling a page theme.
Inspect product photographs separately to see whether their dominant colors will sit consistently within the same catalog or campaign.
Obtain hex, RGB, and HSL candidates from a logo or screenshot when the original design file and its color tokens are unavailable.

Limits and checks

Dominant does not mean semantically important. A tiny warning mark, logo accent, or brightly colored detail can be absent even when it is the color you wanted to identify.
JPEG compression, antialiased edges, gradients, shadows, and photographic noise introduce many near-colors. An extracted swatch may summarize those variations instead of matching an original design token exactly.
Transparency makes visible color background-dependent. A partially transparent area can look different over white and black, so compare the palette with the background on which the source image is intended to appear.

Common questions

Will the extractor recover an exact brand color from a logo?

Not necessarily. It can provide a plausible candidate from the pixels in the supplied image, but resizing, compression, transparency, lighting, and prior color adjustments can move those pixels away from the original specification. Use an official brand guide or source artwork when an exact brand color is required.

Can the downloaded swatches reproduce the original image?

No. A palette retains representative colors but not their pixel positions, proportions, gradients, textures, transparency, or fine detail. The swatches are suitable for visual reference, color comparison, and starting a theme. Reconstructing the source would require the original image data, not only its extracted dominant colors.

References and verification

The example and behavioral notes were checked against the browser implementation. Standards and primary references below define the relevant format, formula, or platform behavior.