Color Palette Extractor

The Color Palette Extractor analyzes an uploaded image entirely in the browser and returns its six most dominant colors as ready-to-use hex swatches. Choose a file or drop it anywhere on the dashed upload zone — PNG, JPG, WebP, and GIF are all accepted, and non-image files are rejected with a toast. The image is drawn into a tiny analysis canvas capped at 100 pixels on its longest side, which keeps processing instant even for multi-megabyte photos. Pixels are quantized into coarse six-bit color buckets so near-identical shades merge instead of splitting into thousands of noise entries, and fully or heavily transparent pixels are skipped so invisible regions never contaminate the palette. The bucket counts are then ranked, and the top six are averaged back into representative hex values. Each swatch card shows the uppercase hex code, the percentage of sampled pixels that shade covers, and the pixel count behind that percentage. Clicking any swatch copies its hex value to the clipboard with a confirmation message, and the source image preview sits beside the extracted result for comparison.

1. 1

   Click Choose image or drop a file anywhere on the shaded dashed zone; an input accepts any image file type.

2. 2

   Watch the image appear in the preview card while the browser samples it into the 100px analysis grid.

3. 3

   Read the Extracted palette list, which always ranks the top six shades by the share of counted pixels.

4. 4

   Note the uppercase hex, the percentage, and the pixel count printed under each colored swatch card.

5. 5

   Click any swatch to copy its hex value; the confirmation toast announces the copied color by name.

• Brand palette discovery — pull the dominant tones from a hero photo to seed a visual identity that will always echo key marketing imagery.
• Web design theming — feed a feature screenshot into the extractor and lift its primary swatches into the site's CSS color variables.
• Presentation decks — match slide background and accent colors to the photos actually used instead of guessing with an eyedropper.
• Social media content — design cover art and thumbnails around the palette of the imagery they will showcase.
• Print collateral — extract a palette from a product shot and reuse the tones across brochures and packaging in physical production.
• Moodboard assembly — a set of extracted palettes from several photos makes a consistent visual system without manual color decisions.

• Strip EXIF and GPS metadata from images before publishing them anywhere; this extractor only reads pixels, but other viewers expose location data.
• Treat the output as a starting point, not a decree; a dominant background color is rarely the right brand accent even when it wins the count.
• Sample a few crops of the same image when you need a different balance, since each crop shifts the counted pixel distribution.
• Verify any extracted swatch against the Contrast Checker before pairing it with body text, since dominance says nothing about legibility.
• Keep original photos on hand; re-extracting after color correction gives a different palette, so agree on the source image first.
• Use the pixel count column to spot near-ties; if two swatches hover close, the palette is fragile under any recompression of the source.

• Extract from the final, color-corrected version of the image, since grading changes shift the palette and can surprise stakeholders later.
• Combine this tool with the contrast checker to confirm any text-on-palette accent clears the AA ratio you commit to.
• Copy three or four swatches in one pass while the image is fresh; closing the preview discards the canvas and you will have to re-run it.
• Drop the same source image on the palette extractor before and after compression to verify the swatches survive the export pipeline.