Image Color Picker
Click anywhere on an image to get its HEX, RGB and HSL color, with a magnifier, a history of picks and the image’s dominant colors. Runs in your browser; nothing is uploaded.
Drop files here, or
JPEG, PNG, WebP, GIF, SVG and more. One image, up to 50 MB.
Or paste an image with Ctrl/⌘ + V
Files are never uploaded.
Selected color
Click the image or use “Pick from screen”.
Picked colors
Colors you pick are listed here (kept in this tab only).
How to use
- Drop or choose an image.
- Click (or press and drag) on the image to pick a color. The magnifier shows the pixels around the crosshair so you can aim precisely.
- Copy the HEX, RGB or HSL value under “Selected color”. Every color you pick is listed under “Picked colors”.
- “Dominant colors” lists the image’s most common colors automatically; change how many and copy their values.
FAQ
Are my images uploaded?
No. Picking colors and finding dominant colors both happen in your browser; your image never leaves your device.
Can I use it with a keyboard only?
Yes. Tab to the crosshair on the image, move it 1 pixel with the arrow keys or 10 pixels with Shift + arrow keys, jump to the left or right edge with Home / End and to the top or bottom with Page Up / Page Down, then press Enter to pick.
What is “Pick from screen”, and why don’t I see it?
It uses the browser’s EyeDropper feature to pick a color from anywhere on your screen, including other windows and apps. Only desktop Chromium browsers such as Chrome and Edge support it for now; in Safari, Firefox and mobile browsers the button is hidden.
Why does the color differ from the original file?
Colors are read from the sRGB pixels the browser decodes. Photos with a wide-gamut profile such as Display P3 are converted to sRGB first, so values may differ slightly from what professional image editors show. JPEG compression noise also makes neighboring pixels vary a little; use the magnifier to aim at the spot you want.
How are dominant colors found?
The image is scaled down to 96 pixels on its longer side, then its colors are grouped by median cut: the group with the widest color range is repeatedly split in half until there are as many groups as you chose, and each group’s average color is shown. Transparent pixels are ignored. The same image always gives the same result.
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