Free online eyedropper tool that extracts colors from any image. Upload a PNG, JPG, or WebP file, hover to preview colors with a zoom lens, click to pick, and get HEX, RGB, and HSL values instantly. Build color palettes from images.
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Image Color Picker is a free, browser-based tool
from UseToolSuite's
Image Tools collection.
All processing happens locally on your device — your data is never uploaded to any server.
Use the tool below, then scroll down for detailed documentation, frequently asked questions, and related resources.
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Drop an image here or click to upload
PNG, JPG, GIF, WebP, SVG
Position: —
Click on the image to pick colors and build a palette.
What is Image Color Picker?
Image Color Picker is a free online eyedropper tool that extracts colors from any uploaded image. Drop or upload a PNG, JPG, GIF, WebP, or SVG file, then hover over any pixel to see its color in real time — complete with a zoom lens for pixel-level precision. Click to pick a color and get its value in HEX, RGB, and HSL formats instantly. Build a palette by picking multiple colors from your image, then copy all values at once. An optional 3×3 average mode smooths out noise by averaging neighboring pixels. All processing happens locally in your browser using the Canvas API — your images are never uploaded to any server.
When to use it?
Use the Image Color Picker when you need to extract exact color values from a screenshot, design mockup, photograph, or any visual reference. It is ideal for matching colors from a client's logo or brand assets, sampling colors from inspiration images for your CSS palette, checking the exact color value of a UI element in a screenshot, and building color palettes from photographs for design projects.
Common use cases
Front-end developers and designers use the Image Color Picker to extract brand colors from logos and marketing assets, sample accent colors from photographs for web design, verify that rendered colors match design specifications, build CSS color palettes from visual references and mood boards, and identify colors in screenshots during design QA and code review. The zoom lens and 3×3 averaging mode make it especially useful for images with gradients, anti-aliased edges, or compressed artifacts where single-pixel sampling might capture noise.
What is the Image Color Picker?
The Image Color Picker is an intuitive, browser-based utility that allows designers and developers to extract exact hex, RGB, and HSL color codes from any uploaded image. Unlike desktop software like Photoshop or Illustrator which requires heavy installation and loading times, this tool works instantly in your browser. Because the image rendering and pixel analysis are handled entirely by your local machine's memory, your proprietary designs, mockups, or personal photos remain strictly confidential.
How does it work?
The tool loads your image onto an interactive HTML5 <canvas> element. When you move your cursor or tap on the image, the JavaScript CanvasRenderingContext2D.getImageData() method retrieves the exact RGBA values of the specific pixel under your pointer. The script then mathematically converts these raw RGB integers into standard Hexadecimal and HSL (Hue, Saturation, Lightness) formats in real-time, providing an interactive, magnifying-glass style preview of the color palette.
Common use cases
Web designers use the Image Color Picker to extract exact brand colors from a client's existing logo to ensure CSS consistency across a new website build. Digital artists use it to sample color palettes from a reference photograph or a mood board to use in their digital paintings. Frontend developers use it to quickly grab the hex code of a specific button or gradient from a high-fidelity UI mockup provided by the design team.
How sampling works
The picker loads your image into an HTML Canvas and reads raw RGBA values per pixel with getImageData(). Hover to preview, click to capture, and each pick is reported in HEX, RGB, and HSL. Because it’s reading the actual pixel bytes, accuracy comes down to which pixel you sample and what quality the source is.
Single pixel vs 3×3 average
Two sampling modes serve different needs:
Mode
Samples
Best for
Single pixel
One exact pixel
Flat graphics, UI, precise picks
3×3 average
A pixel + its 8 neighbors
Photos, compressed/dithered images
On a noisy JPEG or a photograph, a single pixel can be an outlier; averaging a 3×3 grid smooths out compression and anti-aliasing noise to give a color that better represents the area. On a clean flat graphic, single-pixel is exact.
Building a palette from an image
Click around the image and each color joins a palette strip with its HEX/RGB/HSL values, copyable individually or all at once — a fast way to lift a scheme from a photo, screenshot, or moodboard. To turn those sampled colors into harmonious variations (tints, shades, complementary), pass them to the Color Palette Generator; to convert a single value between formats, the Color Converter is the companion.
The CORS gotcha
If you try to load an image from another domain by URL, the Canvas becomes “tainted” and the browser blocks pixel reads for security (Cross-Origin Resource Sharing). The symptom is a “tainted canvas” error and no colors. The fix is simple: download the image to your device first, then upload it here — local files aren’t subject to the cross-origin restriction. Everything is processed in your browser, so the images you sample never leave your device.
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Essential terms and definitions related to Image Color Picker.
Eyedropper
A color sampling tool that captures the exact color value of a pixel at the cursor position. Originally a physical tool in photography, the digital eyedropper reads pixel data from a rendered image and reports it in color formats like HEX, RGB, and HSL. Modern browsers support a native EyeDropper API, but it requires user gesture activation and is not available in all browsers.
Canvas API
A browser API for drawing and manipulating graphics using JavaScript. The Canvas 2D rendering context provides getImageData() to read raw pixel RGBA values from any rendered image. This tool uses the Canvas API to load uploaded images and extract per-pixel color data without any server-side processing.
Color Space
A specific organization of colors that defines the range (gamut) of colors that can be represented. sRGB is the standard color space for the web and most consumer displays. Wider gamut spaces like Display P3 (used by modern Apple devices) and Adobe RGB (used in print) can represent more saturated colors. The Canvas API operates in sRGB by default.
Anti-aliasing
A technique that smooths jagged edges in digital images by blending edge pixels with surrounding colors. This means that a pixel on the edge of a red shape on a white background might appear as a lighter shade of red (mixed with white). When using an eyedropper, anti-aliased edge pixels will not match the pure color of the shape — zoom in or use average sampling to get a more accurate color.
Frequently Asked Questions
What image formats are supported?
The tool supports all image formats that your browser can display: PNG, JPEG, GIF, WebP, SVG, BMP, and ICO. Images are loaded into an HTML Canvas element for pixel-level color extraction. There is no file size limit imposed by the tool — performance depends on your device's memory and the image dimensions.
Why does the picked color look slightly different from what I see on screen?
Several factors can cause color discrepancies: JPEG compression introduces color artifacts near edges, anti-aliasing blends pixels with surrounding colors, and your monitor's color profile may display colors differently from the raw pixel values. Use the 3×3 average mode to smooth out compression artifacts, or zoom in to identify the exact pixel you want to sample.
Can I pick colors from a screenshot or design mockup?
Yes. Take a screenshot, save it as PNG (for pixel-perfect accuracy) or JPEG, then upload it to the tool. PNG is preferred for UI screenshots because it uses lossless compression, preserving exact pixel colors. JPEG compression may alter colors slightly, especially in flat-color areas like UI elements.
How does the 3×3 average mode work?
When enabled, instead of sampling a single pixel, the tool averages the RGB values of the target pixel and its 8 immediate neighbors (a 3×3 grid). This reduces noise from compression artifacts, anti-aliasing, and dithering, giving you a more representative color of the area. It is especially useful for photographs and compressed images.
Can I build a complete color palette from an image?
Yes. Click on different areas of the image to pick multiple colors. Each picked color is added to the palette strip below the image with its HEX, RGB, and HSL values. You can copy all palette colors at once using the Copy All button, making it easy to transfer an entire color scheme to your CSS or design tool.
How do I pick a color from anywhere on my screen, not just an uploaded image?
Modern Chrome and Edge expose a native EyeDropper API that lets you sample any pixel anywhere on screen — another app, a video, a different tab — not just an image you've uploaded. You trigger it with a user gesture (a click), the cursor becomes a magnifier, and clicking returns the exact color under it. It's powerful but has limits: it requires a recent Chromium browser (Firefox and Safari don't support it yet), it only works on the current screen, and it must be invoked by a direct user action for security. When the API isn't available, uploading the image and sampling its pixels (what this tool does with Canvas) is the reliable cross-browser fallback.
Why doesn't a flat UI color match exactly when I pick it?
Three culprits, and they're usually not the tool's fault. (1) Anti-aliasing: edges of shapes and text are blended with the background, so a pixel near an edge is a mix, not the pure color — sample from the flat interior of a region. (2) JPEG compression: it introduces subtle color shifts and blocky artifacts, especially in flat-color areas, so the same UI swatch can vary pixel to pixel — use a PNG screenshot for pixel-perfect UI colors. (3) Your monitor's color profile and the image's embedded ICC profile can display the raw value differently than it's stored. The fixes: sample interior pixels, use 3×3 averaging to smooth artifacts, and prefer lossless PNG sources for exact UI colors.
Troubleshooting & Technical Tips
Common errors developers encounter and how to resolve them.
Canvas tainted by cross-origin data: Cannot pick colors
This error occurs when trying to load an image from a different domain directly via URL. Due to browser CORS (Cross-Origin Resource Sharing) security policies, the Canvas API cannot read pixel data from cross-origin images. Solution: download the image to your device first, then upload it to this tool using the file upload or drag-and-drop feature.
Colors appear washed out or incorrect on the canvas
This can happen if the image contains an embedded ICC color profile that the Canvas API does not fully support. The Canvas 2D context uses sRGB by default. Images in wider color spaces (Display P3, Adobe RGB) will be converted to sRGB, which may shift some colors. For color-critical work, use the original design file in your design tool instead of a rasterized export.
Picked color shows rgba(0, 0, 0, 0) on transparent areas
Transparent pixels in PNG or GIF images have an alpha value of 0, meaning the RGB values are undefined (often all zeros). The tool reports the actual pixel data including alpha. If you need to know what color the transparent area appears as in context, composite the image onto a known background color first, or use the surrounding opaque pixels as reference.
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