{"id":161,"date":"2026-05-05T09:19:09","date_gmt":"2026-05-05T13:19:09","guid":{"rendered":"https:\/\/simpletool.io\/blog\/?p=161"},"modified":"2026-05-05T09:23:12","modified_gmt":"2026-05-05T13:23:12","slug":"extract-colors-from-image","status":"publish","type":"post","link":"https:\/\/simpletool.io\/blog\/extract-colors-from-image\/","title":{"rendered":"Extract Colors from Image: Auto Palette Tool [2026]"},"content":{"rendered":"
TL;DR:<\/strong> An image color extractor analyses a photo or graphic and returns the 2\u201312 most representative colours as a palette. Behind the scenes most extractors run K-means clustering<\/strong> on the pixel data, sort the resulting clusters by population, and output each centroid as HEX\/RGB\/HSL. Use it for moodboards, brand palettes from a photo, theme generation, or matching ad creative to a hero image. Our free image color extractor<\/a> runs entirely in your browser, supports up to 12 colours, and exports CSS variables ready to drop into your stylesheet.<\/div>\n

Designers extract colour palettes from images constantly. A photographer wants the dominant tones of a portrait for the gradient behind a website hero. A brand strategist needs the four real colours from a screenshot of a competitor’s ad. A film designer wants the palette of a single frame to match the rest of the spread. Doing this by eye works for two or three colours; doing it accurately for ten requires an algorithm that looks at every pixel.<\/p>\n

Our image color extractor<\/a> runs K-means clustering directly in your browser via WebAssembly. Drop an image, pick how many colours (2 to 12), and the tool returns the centroids ranked by how much of the image each colour represents. Each swatch shows HEX, RGB, HSL, OKLCH, and the WCAG contrast ratio against black and white \u2014 useful for picking accessible text colours from a brand photo. This guide covers how K-means works in colour space, why it sometimes returns near-duplicate colours, and the gotchas with transparent backgrounds and EXIF rotation.<\/p>\n

When to use a palette extractor<\/h2>\n\n\n\n\n\n\n\n\n\n\n
Use case<\/th>\nRecommended count<\/th>\nWhat you do with it<\/th>\n<\/tr>\n<\/thead>\n
Hero gradient from a photo<\/td>\n2\u20133 colours<\/td>\nUse top 2 as gradient stops<\/td>\n<\/tr>\n
Brand palette from a logo<\/td>\n3\u20135<\/td>\nVerify exact brand HEX values<\/td>\n<\/tr>\n
Moodboard \/ inspiration<\/td>\n5\u20138<\/td>\nSave the swatches as a Figma library<\/td>\n<\/tr>\n
Album cover analysis<\/td>\n5\u20136<\/td>\nGenerate a matching theme<\/td>\n<\/tr>\n
Ad creative colour match<\/td>\n3\u20134<\/td>\nPaint background to harmonise with image<\/td>\n<\/tr>\n
Competitor screenshot study<\/td>\n8\u201310<\/td>\nAudit their full palette<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

How K-means clustering works (in colour terms)<\/h2>\n

Plot every pixel as a point in a 3D colour space (RGB, or better still OKLab for perceptual uniformity). K-means then partitions those points into k<\/em> clusters by:<\/p>\n

    \n
  1. Pick k<\/em> initial cluster centres at random (or via k-means++ for better starting points)<\/li>\n
  2. Assign every pixel to the nearest centre<\/li>\n
  3. Recompute each centre as the average of the pixels assigned to it<\/li>\n
  4. Repeat steps 2\u20133 until centres stop moving (convergence)<\/li>\n<\/ol>\n

    The output is k<\/em> colours that minimise the total distance between every pixel and its assigned centre. Cluster size (number of pixels assigned) tells you how dominant each colour is in the original image.<\/p>\n

    We use OKLab as the clustering space \u2014 distances in OKLab roughly match human perception, so two colours that look similar are also close in OKLab. Older extractors run K-means in raw RGB and produce odd results when an image has a wide hue range (RGB distance treats yellow and blue as much closer than the eye does).<\/p>\n

    How to extract a palette in your browser<\/h2>\n
      \n
    1. Open the image color extractor<\/a><\/li>\n
    2. Drop an image (JPG, PNG, WebP, HEIC supported)<\/li>\n
    3. Pick the colour count (2\u201312)<\/li>\n
    4. The palette appears in 1\u20133 seconds with each swatch labelled by HEX and percentage of the image<\/li>\n
    5. Toggle Sort by percentage<\/strong> or Sort by hue<\/strong><\/li>\n
    6. Click any swatch to copy its HEX, RGB, HSL, or OKLCH<\/li>\n
    7. Click Export CSS variables<\/strong> to download a --brand-N<\/code> variable block ready to paste into :root<\/code><\/li>\n<\/ol>\n

      Common gotchas<\/h2>\n