Image Color Picker
Upload Image
Drag & drop an image here, or click to upload
You can also paste an image with Ctrl+V (try a screenshot!)
Upload an Image to Start
Drag and drop an image, paste from clipboard (Ctrl+V), or click the upload button to load your image and start picking colors.
Click any pixel to extract its exact color — HEX, RGB, HSL, HSV, CMYK and more
The Image Color Picker is a powerful, 100% browser-based tool that lets you extract exact color information from any image. Whether you are a web designer looking to match brand colors from a reference image, a photographer wanting to identify a specific hue, a developer building a color palette, or simply curious about the colors in a photo, this tool gives you everything you need in one place. Using the HTML5 Canvas API, your image is processed entirely in your browser — nothing is ever uploaded to a server. Simply drag and drop your image, paste it from clipboard (Ctrl+V works perfectly for screenshots), or click the upload button to load any PNG, JPG, WebP, GIF, BMP, or SVG file up to 10MB. Once your image loads, hover over it to see the magnifier lens — an 8x zoomed view of the area around your cursor, complete with a pixel grid for sub-pixel accuracy. Click any pixel to pick its color. The tool instantly displays the color in five formats simultaneously: HEX (the standard web format like #FF5733), RGB (the red/green/blue breakdown), HSL (hue, saturation, lightness), HSV (hue, saturation, value), and CMYK (the print industry standard with cyan, magenta, yellow, and black percentages). Each format has a one-click copy button so you can paste directly into your code editor or design software. Beyond pixel picking, the tool automatically extracts the dominant color palette from your image on load. You can choose between 5, 8, 10, 12, or 20 dominant colors. The palette uses a frequency-based quantization algorithm that downsamples your image, builds a color frequency map, and returns the most visually distinct and prevalent colors. You can sort the palette by hue, brightness, or saturation, remove individual swatches, and export the palette in multiple formats: CSS custom properties (--color-1: #hex), JSON array, Tailwind CSS config snippet, SCSS variables, PNG swatch strip download, and Adobe Swatch Exchange (ASE) format. The color name lookup feature matches every picked color to the nearest named color from a database of over 130 CSS and X11 named colors using Euclidean distance in RGB space. The WCAG contrast checker automatically shows the contrast ratio of your picked color against both black and white backgrounds, with AA and AAA pass/fail badges. The color blindness simulation lets you preview how your picked color appears to people with protanopia, deuteranopia, or tritanopia. Color harmony suggestions generate related colors for your picked hue: complementary (opposite on the color wheel), analogous (adjacent hues), triadic (three equidistant hues), split-complementary (two colors flanking the complement), and tetradic (four equidistant hues). Each harmony swatch is clickable to copy its HEX code. The tool also maintains a session history of your last 20 picked colors, visible as small swatches in the input panel. Click any history swatch to restore that color. Full undo/redo is supported via Ctrl+Z and Ctrl+Y, and arrow keys let you nudge the crosshair one pixel at a time for precise picking.
Understanding Color Spaces and Picking
What Is Color Space Conversion?
Color spaces are different mathematical systems for describing the same color. HEX (hexadecimal) is the most common web format, encoding red, green, and blue as two-digit hex numbers (00–FF). RGB breaks a color into its red, green, and blue light components, each from 0 to 255. HSL (Hue, Saturation, Lightness) is more intuitive: hue is the color angle (0–360°), saturation is the intensity (0–100%), and lightness is how light or dark (0–100%). HSV (Hue, Saturation, Value) is similar but uses 'value' instead of lightness, which is more perceptually uniform. CMYK (Cyan, Magenta, Yellow, Key/Black) is used in print design, representing ink percentages. Each space has its own strengths — web developers typically use HEX or RGB, designers use HSL for intuitive color adjustments, and print professionals use CMYK.
How Does Pixel Color Extraction Work?
The tool uses the HTML5 Canvas API to read pixel data directly from your image in the browser. When you load an image, it is drawn onto a hidden canvas element. When you click a pixel, the tool calls getImageData(x, y, 1, 1) on the canvas context, which returns an array of four values: [Red, Green, Blue, Alpha], each 0–255. The HEX code is computed by converting each value to its two-digit hexadecimal representation. HSL is derived from RGB using a standard algorithm that finds the max and min channel values, computes lightness as their average, and derives saturation and hue from the channel ratios. CMYK is calculated by normalizing RGB to 0–1, finding the black key as 1 minus the maximum channel, and computing each ink percentage accordingly. Color name lookup uses Euclidean distance in RGB space — the square root of the sum of squared differences for each channel — to find the nearest named color in the database.
Why Use an Image Color Picker?
Image color picking is an essential task in web design, graphic design, photography, brand identity, and interior design. When you see a color in a photo or design that you want to reproduce, you need its exact numerical values. A color picker eliminates guesswork — instead of trying to eyeball a color in your design software, you get precise codes directly from the source image. For web developers, this means you can match a client's brand colors exactly, ensure visual consistency, and avoid color drift. For designers, palette extraction reveals the dominant color story of an image, useful for creating cohesive UI themes, presentations, and marketing materials. The WCAG contrast checker adds accessibility value — you can verify whether your chosen color meets accessibility standards for text readability before implementing it.
Limitations and Considerations
Browser canvas color picking is accurate to the pixel, but there are a few caveats. JPEG compression introduces color artifacts — the same area of a heavily compressed JPEG may show slightly different colors across pixels due to lossy compression blocks. For most practical purposes this is negligible, but for exact brand color matching, use PNG or WebP source images. The palette extraction algorithm uses frequency-based sampling on a downsampled image, which means very small but visually important color accents may be missed if they occupy only a small percentage of pixels. The color blindness simulation uses simplified linear matrix transforms, which are approximations — real color vision deficiencies are more complex and vary by individual. The tool processes images up to 10MB; very large images may take a moment to extract the palette on slower devices. CORS restrictions mean that images loaded from external URLs may not be readable by the canvas — always use locally uploaded or pasted images.
How to Use the Image Color Picker
Load Your Image
Drag and drop your image onto the upload area, click the 'Choose Image' button to browse for a file, or simply press Ctrl+V to paste a screenshot or copied image directly. The tool accepts PNG, JPG, WebP, GIF, BMP, and SVG files up to 10MB.
Pick a Color
Hover over your image to see the magnifier lens — an 8x zoomed view for precise targeting. When you find the exact pixel you want, click it. The tool instantly displays the color in HEX, RGB, HSL, HSV, and CMYK formats on the right, along with the nearest named color and pixel coordinates.
Copy Your Color Codes
Click the copy icon next to any color format (HEX, RGB, HSL, etc.) to copy it to your clipboard instantly. You can also use arrow keys to nudge the crosshair one pixel at a time for sub-pixel precision, or use Ctrl+Z / Ctrl+Y to undo/redo your picking history.
Export Your Palette
The dominant colors from your image are extracted automatically. Click any swatch to set it as the active color, sort the palette by hue/brightness/saturation, and use the Export button to copy the palette as CSS variables, JSON, Tailwind config, or SCSS — or download it as a PNG swatch strip or Adobe ASE file.
Frequently Asked Questions
Is my image uploaded to a server?
No. The Image Color Picker processes everything entirely in your browser using the HTML5 Canvas API. Your image never leaves your device — it is drawn onto a local canvas element in memory, and all color calculations happen client-side in JavaScript. This means the tool works offline once loaded, is completely private, and there is no file size limit imposed by server infrastructure (only your browser's memory). This is the same approach used by top competitors like icolorpalette.com and imagecolorpicker.com, who advertise '100% client-side processing'.
Why does my JPEG image show slightly different colors than expected?
JPEG is a lossy compression format — it discards some color data to reduce file size. This means that even in a flat-color area that appears uniform to the eye, adjacent pixels may have slightly different RGB values due to compression artifacts (called DCT block artifacts). For the most accurate color picking, use PNG or WebP images, which are lossless formats. If you only have a JPEG, try clicking several pixels in the same color area and note the range of values — then average them mentally. The color name lookup will still identify the correct named color in most cases since the variation is usually within a few RGB units.
What is the difference between HSL and HSV?
Both HSL and HSV use the same Hue channel (0–360°, representing the color angle on the color wheel). The difference is in the second and third channels. HSL (Hue, Saturation, Lightness) defines lightness as the midpoint between the lightest and darkest channel, with fully saturated colors at L=50%. HSV (Hue, Saturation, Value) uses 'value' which represents the brightness of the color — pure white has V=100% and S=0%, pure red has V=100% and S=100%. HSL is generally more intuitive for describing colors as humans perceive them, while HSV is often preferred in color picker UIs because it maps more naturally to a two-dimensional hue-saturation square with a brightness slider. Both are mathematically derived from RGB with no loss of information.
How accurate is the color name lookup?
The color name lookup uses a database of approximately 130 CSS and X11 named colors and finds the nearest match using Euclidean distance in RGB space — the formula is the square root of (ΔR² + ΔG² + ΔB²). This gives a perceptually reasonable match for most colors, but it is an approximation. Some colors like 'LightSteelBlue' or 'PaleGoldenrod' may be misidentified as a neighboring named color if the picked color is exactly between two named entries. For highly saturated, vivid colors the match is usually very accurate. For pastels, grays, and neutrals, the nearest named color may feel slightly imprecise. The name is intended as a human-readable label, not a precision classification — always use the HEX or RGB values for exact color matching in your designs.
What is WCAG contrast and why does it matter?
WCAG (Web Content Accessibility Guidelines) contrast ratio measures how distinguishable two colors are from each other, particularly text on a background. The formula uses relative luminance — a perceptual weighting of the RGB channels based on how the human eye perceives brightness. A contrast ratio of at least 4.5:1 is required for WCAG AA compliance for normal-sized text, and 3:1 for large text (18pt or bold 14pt). WCAG AAA requires 7:1 for normal text and 4.5:1 for large text. This tool shows the ratio of your picked color against both pure black (#000000) and pure white (#FFFFFF), giving you an immediate sense of which background color provides better readability. Bright yellow on white might fail AA, while the same yellow on black easily passes.
How does the color blindness simulation work?
The simulation applies linear transformation matrices to the RGB values of your picked color to approximate how it would appear to people with different types of color vision deficiency. Protanopia is the absence of red cone cells (difficulty distinguishing reds from greens). Deuteranopia is the absence of green cone cells (the most common form, also causing red-green confusion). Tritanopia is the absence of blue cone cells (blue-yellow color confusion, much rarer). The matrices used are simplified approximations based on published research by Viénot, Brettel, and Mollon (1999). Real color vision is more complex — the severity varies by individual and these simulations represent dichromacy (complete absence of one cone type), not all forms of color weakness. The simulated HEX value is shown so you can compare it to the original.