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Image Color Extractor

Extract dominant colors and color palette from any image. Click anywhere on the image to pick a color. Copy HEX, RGB, or HSL values instantly.

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Click to upload or drag & drop an image

PNG, JPG, GIF, WebP supported

About Image Color Extractor

Upload any image to extract its dominant color palette. Use the eyedropper by clicking anywhere on the image to get the exact color at that point. Copy color values as HEX, RGB, or CSS variables. Ideal for designers, developers, and branding work.

How to Use

  1. Upload an image by clicking or dragging it onto the upload area. The dominant palette is extracted automatically.
  2. Select how many colours to extract (6–16) and click Extract Palette to refresh.
  3. Click any colour swatch to copy its HEX value to the clipboard.
  4. Click anywhere on the image to use the eyedropper and get the exact colour at that pixel.
  5. Use Copy All HEX or Copy CSS Variables to grab the full palette at once.

How the Palette Is Generated

The tool uses the median cut algorithm - a colour quantization method that divides the image's colour space into buckets and finds the average colour in each. This produces a representative palette of the image's most visually prominent colours.

Frequently Asked Questions

Colour quantization is the process of reducing the number of distinct colours in an image to a smaller representative set. The median cut algorithm splits the colour space recursively to find the most dominant colours in the image.
Simply click anywhere on the image preview. The eyedropper reads the exact pixel colour at that point and displays the HEX, RGB, and HSL values. Click "Copy HEX" to copy it to the clipboard.
CSS Variables (custom properties) let you define colours once and reuse them throughout your stylesheet. Click "Copy CSS Variables" to get a :root { --color-1: #...; } block you can paste directly into your CSS file.
The median cut algorithm finds mathematically dominant colours, which may not always match the colours your eye is drawn to. Increasing the number of colours to extract can reveal more subtle tones in the image. Use the eyedropper for pinpoint accuracy on specific areas.
The tool provides colours in HEX (e.g. #FF5733), RGB (e.g. rgb(255, 87, 51)), and HSL (e.g. hsl(11, 100%, 60%)) formats. HEX is the most common for web use, while HSL is useful for adjusting lightness and saturation programmatically.

About Image Color Extractor — Image Color Extractor Online

The Oneyfy image color extractor online analyzes any uploaded image and identifies its dominant colors, displaying each one as a swatch with its HEX, RGB, and percentage-of-image values. An eyedropper mode lets you click anywhere on the image to get the exact color of any specific pixel, with HEX, RGB, and HSL values shown instantly. Copy individual swatches, export the full palette as a list of HEX codes, or grab a ready-to-paste CSS variables block — all with no uploads to a server and no sign-up required.

Designers, developers, and brand managers use an image color extractor online to derive color palettes from reference images. When building a website or app for a client, you can upload a brand photo and extract the exact primary and accent colors to use in your CSS. When redesigning a logo, you can check what colors are present in the existing design. When creating social media graphics, you can match your content to the colors of a product photo. The eyedropper feature is especially valuable for picking precise colors from specific areas of complex images — like sampling a sky gradient or the exact shade of a product.

How to Use the Image Color Extractor

  1. Click the upload zone or drag and drop an image file onto it. PNG, JPG, GIF, and WebP formats are all supported. The image loads immediately and the dominant palette is extracted automatically on upload.
  2. Use the Extract top dropdown to select how many colors to extract — choose between 6, 8, 10, 12, or 16 colors. Click Extract Palette to regenerate the swatches with the new count.
  3. Click any color swatch in the palette grid to copy its HEX code to your clipboard and simultaneously display that color's HEX, RGB, and HSL values in the eyedropper bar below the image.
  4. Click anywhere directly on the image preview to use the pixel eyedropper. The exact color at that pixel position is read and displayed with its HEX, RGB, and HSL codes. Click Copy HEX in the eyedropper bar to copy that specific color.
  5. Click Copy All HEX to copy the full extracted palette as a newline-separated list of HEX codes, suitable for pasting into a color guide, Figma file, or design document. Click Copy CSS Variables to get a :root { --color-1: #...; } block ready to paste into your stylesheet.

Color Extraction Options

The tool provides several ways to extract and copy colors depending on what you need.

  • Palette extraction (6–16 colors): The median cut algorithm analyzes the image's pixel color data and clusters similar colors together, then selects the most representative color from each cluster. Extracting more colors reveals subtler tones; fewer colors highlights only the most dominant hues.
  • Pixel eyedropper: Click anywhere on the image preview to sample the exact pixel at that coordinate. This bypasses clustering and gives you the precise raw color value — useful for logos, UI screenshots, and any situation where you need an exact match rather than a representative average.
  • CSS variables export: The Copy CSS Variables button generates a :root block with the extracted palette as named custom properties (--color-1 through --color-N), ready to integrate directly into a CSS file.

Tips for Getting the Best Results

These tips help you extract the most useful color palette from different types of images.

  • Use more colors for complex images: Photographs with many different hues — landscapes, group photos, product shots with gradients — benefit from extracting 12 or 16 colors to capture the full range of tones. For flat-design graphics, logos, and illustrations with limited palettes, 6 or 8 colors is usually enough to capture all significant hues.
  • Use the eyedropper for brand-critical colors: The median cut algorithm finds mathematically dominant colors, which may cluster near a specific shade but not hit the exact HEX value you need. If you are matching a specific brand color, use the eyedropper to click directly on the most representative area of that color in the image for an exact pixel-level reading.
  • Upload PNG instead of JPG for logos: JPEG compression introduces artifacts that add non-existent color variations to solid areas. When extracting colors from logos, icons, or flat-design graphics, use a PNG source image for more accurate palette results.
  • Use CSS variables export for design systems: Rather than manually creating color variables, extract the palette and copy the CSS variables block directly into your project's design tokens file or root stylesheet. Rename the variables from --color-1 to meaningful names like --color-primary once you know which swatch corresponds to which role.
  • Cross-reference with your brand style guide: Extracted colors are approximations of the image content. If you are working with official brand colors, verify the extracted HEX codes against your brand style guide and make small adjustments if needed. The eyedropper is better for this verification than the clustered palette.

Why Use an Image Color Extractor Online

Manually identifying colors from an image requires a desktop design application like Photoshop or Figma, selecting the eyedropper tool, clicking each color, recording the value, and repeating the process. An image color extractor online handles the entire palette in seconds with no software to install. Everything runs in the browser using the HTML canvas API — your image is read locally, processed locally, and never sent anywhere.

Graphic designers without access to Photoshop, developers working from mockups created in other tools, students learning color theory by analyzing real-world images, and marketers building on-brand content all benefit from a zero-setup color extraction tool that works on any device with a modern browser.

Frequently Asked Questions about Image Color Extractor

You choose the number of colors to extract using the dropdown — options range from 6 to 16. More colors reveal subtler secondary and tertiary tones in complex images. Fewer colors highlight only the most visually dominant hues. The palette is regenerated each time you change the count and click Extract Palette. The default is 8 colors, which works well for most photographs and graphics.
The median cut algorithm finds the average color within each cluster of similar pixels, not the exact color of any one pixel. This averages out JPEG compression artifacts and small color variations across a region, producing a representative color rather than an exact match. If you need the precise color of a specific spot, use the eyedropper by clicking directly on that point in the image — it reads the exact pixel value without any averaging.
Yes. Any image file works — photos, screenshots, UI mockups, graphics, logos, and illustrations. PNG, JPG, GIF, and WebP are all supported. Screenshots of websites, apps, or design tools are particularly useful for matching UI colors when you want to replicate or extend an existing color scheme.
No. All processing happens entirely in your browser using the HTML canvas API and JavaScript. Your image is read from your device into browser memory, drawn onto an off-screen canvas, and analyzed locally. The image data never leaves your device and is never transmitted to any server. This makes the tool safe to use with confidential images, proprietary designs, and private photos.
Yes, completely free. There is no sign-up, no account, and no limits on how many images you analyze or how many palettes you extract. The tool is available in your browser at no cost any time you need it.
Yes. The image color extractor is fully responsive and works in any modern mobile browser. You can upload images from your phone's photo library or camera roll, and the eyedropper works via touch — tap anywhere on the image preview to sample that pixel's color. The palette swatches and copy buttons are touch-friendly and work well on small screens.
Each extracted color and eyedropper result is shown in three formats: HEX (e.g., #FF5733), RGB (e.g., rgb(255, 87, 51)), and HSL (e.g., hsl(11, 100%, 60%)). HEX is the most common format for web use. RGB is widely used in CSS and design tools. HSL is useful when you need to programmatically adjust lightness or saturation. The CSS variables export uses HEX format.
Median cut is a color quantization algorithm that divides an image's color space into buckets by repeatedly splitting the bucket with the greatest color range along its dominant channel (red, green, or blue). Each split continues until the desired number of buckets is reached. The average color of each bucket becomes one palette entry. This method is computationally efficient and produces balanced palettes that represent the actual distribution of colors in the image.