Upload a photo, screenshot, logo, or illustration — then click any pixel to get its exact Hex, RGB, and HSL values. Your image never leaves your device. No account. No limits.
Upload a photo, logo, screenshot, or any image — then click anywhere on it to pick a color instantly.
🔒 Your image is processed locally — nothing is uploaded to our servers.
Pick a color to see its temperature.
5 shades of the picked color from lightest to darkest. Click any swatch to copy its hex code.
Most image color pickers do the same thing: you click, you get a hex code. That's a start, but real design work needs more context around that color. Here's what makes this one worth bookmarking.
Click any pixel on your uploaded image to read its exact color value. The tool uses the HTML5 Canvas API to sample at the native image resolution, so what you see is what you get — no averaging, no approximation.
Activating the magnifier shows a zoomed lens around your cursor so you can select exactly the right pixel on images with fine detail, small icons, or complex patterns — the kind of precision you can't get from eyeballing it.
Switch to the Palette Extractor tab to automatically identify the 5, 8, or 10 most prominent colors in your image. Useful for building brand palettes from photos, analyzing competitor websites, or generating design system seed colors.
Every sampled color is shown simultaneously in Hex, RGB, HSL, OKLCH, and ready-to-paste CSS. You don't need to convert — just pick the format your project needs and click copy.
Your image files never leave your device. Everything runs in your browser using client-side JavaScript and the Canvas API. This makes it safe to use with confidential brand assets, client photos, medical images, or any sensitive material.
After picking any color, the tool automatically finds the closest CSS named color (like tomato, steelblue, or goldenrod) and shows how different the match actually is — useful when you want readable, semantically meaningful color names in your code.
Every color you pick is saved in a scrollable history row at the bottom of the panel. You can click any past swatch to copy it again — helpful when you're sampling multiple colors across an image and need to compare or revisit.
The Color Analysis tab breaks down the picked color into RGB channel values, shows where it sits on the warm-to-cool spectrum, and generates 5 monochromatic shades for use in a design system or gradient set.
The whole process takes about ten seconds once you know it. Here's a step-by-step breakdown so you can get what you need on the first try.
Click "Choose File" or drag and drop any image file onto the upload zone. PNG, JPG, WebP, GIF, BMP, and SVG all work. Screenshots paste in too — try Ctrl+V in the upload area on Chrome.
Once the image loads, just click anywhere on it. The exact pixel at your click point is sampled and its color values appear instantly in the panel on the right.
On detailed images, tap the Magnifier button in the toolbar. A circular zoom lens follows your cursor so you can line up exactly the right pixel before clicking — especially helpful for logos and UI screenshots.
The right panel shows Hex, RGB, HSL, OKLCH, and CSS simultaneously. Hit the copy button next to whichever you need, or click the big color swatch to copy the hex code directly.
Switch to the Palette Extractor tab for automatic dominant color detection across the whole image. Choose 5, 8, or 10 colors and copy them all at once — great for building a full design system from a single reference image.
The Analysis tab shows you RGB channel values as visual bars, color temperature (warm vs cool), brightness, saturation, and five ready-made shades. All update live as you pick new colors.
There's a surprisingly common frustration in design work: you find a photo or illustration with exactly the right feeling — the right mood, the right warmth, the right energy — and you want to bring that into your UI. But you can't just describe "the color of that sunset" to your stylesheet. You need the actual code.
That's the fundamental use case for an image color picker. It's the bridge between the visual world and the code that represents it. And it comes up more often than you might expect — not just for designers, but for developers matching brand colors, marketers trying to stay consistent across campaigns, and business owners who can't afford a formal brand guide but still want their website to match their logo.
These two things sound similar but they serve different purposes. Sampling means clicking a specific pixel and getting its exact value — useful when you have a particular color in mind and need the code for it. Extracting means automatically finding the most visually dominant colors across an entire image — useful when you're starting from scratch and want a cohesive palette.
Both are valuable. If you have a logo from a client and you need to match the exact orange in the wordmark, you sample. If you're building a travel app and you want to derive a color palette from a hero photo, you extract. This tool does both — sampling in the first tab, extraction in the second.
This trips people up fairly often. You sample a color from a photo and the hex code looks a little off from what you expected. The reason is almost always JPEG compression. When a JPEG is saved, the compression algorithm deliberately introduces small color variations across the image to reduce file size. A solid red logo saved as a JPEG might actually contain dozens of slightly different reds at the pixel level — none of which is the "true" brand color.
One genuinely useful workflow: run a palette extraction on a brand's photography and use those colors as the "voice" of the brand across UI elements. A coastal travel brand's photos might yield a palette of sandy neutrals, deep ocean blues, and soft sunset oranges — colors that didn't come from anyone's Pantone book but feel completely authentic to the brand.
The trick is treating the extracted palette as a starting point, not a final answer. Run the extraction, then refine each color in the main color picker — bump up the saturation slightly, ensure the lightness values are consistent across the set, and check every combination against WCAG contrast requirements. The image gives you the direction; you do the fine-tuning.
Color temperature is one of those concepts that's easy to feel but hard to articulate. Warm colors (reds, oranges, yellows) tend to feel energetic, urgent, and close. Cool colors (blues, greens, purples) tend to feel calm, distant, and trustworthy. Neither is better — it depends on the emotion you're designing for.
The Color Analysis tab shows you where any picked color sits on the warm-to-cool spectrum. This is particularly helpful when you're combining colors: if all your chosen colors cluster on the warm end, your design might feel intense or overwhelming. A single cool accent against a warm palette creates balance. The temperature indicator gives you that information at a glance rather than requiring you to reason through the hue values manually.
Over the years, certain questions come up again and again when people are learning to work with image color tools. Here are the most useful ones, answered directly.
Yes, and this is actually one of the most common use cases. Take a screenshot of any website, upload it here, and click any element to get its color. This is especially useful for competitive analysis — matching a competitor's primary color, or identifying the exact shade of blue a SaaS brand uses for its CTAs. Just be aware that screenshots are typically saved as PNG by default, so the color values should be accurate.
Use the "Open in Picker" button after sampling a color. It sends the sampled color into our main color picker where you can adjust the hue, saturation, and brightness with full visual control. This is the smoothest workflow for when an image gives you a good starting point but you need to modify it — lighter, darker, more saturated, or shifted toward a different hue.
The tool compares your picked color against all 140 named CSS colors using a Euclidean distance formula in RGB space. It finds the named color whose RGB values are closest to yours and shows you both the color and how close the match is. A distance of 0 means an exact match; anything under 20 is very close. This feature is most useful when you want semantic color names in your code rather than hex codes — and also sometimes just fun to discover that the blue you sampled is closest to "cornflowerblue."
The use cases are broader than most people expect. Here's a breakdown of who finds this tool genuinely useful in day-to-day work.
Extracting exact color codes from client-supplied logos, brand photos, or reference materials to build accurate design tokens and style guides — especially when the client only has a JPEG of their logo.
Matching colors from design handoff screenshots when the Figma file isn't shared, inspecting colors on live websites via screenshots, and verifying that CSS colors match design mockups pixel for pixel.
Keeping brand colors consistent across designed posts, thumbnails, and story templates by sampling directly from approved brand assets rather than guessing from memory.
Extracting color codes from inspiration photos and material swatches to communicate exact specifications to manufacturers, suppliers, or digital rendering artists.
Reading color values from reference images for color grading work, matching skin tones across a shoot, or providing hex codes to clients who want to use photo colors in their brand materials.
Getting accurate color codes for product listings, ensuring thumbnail backgrounds match the website palette, and staying consistent across product photos from different photographers or photoshoots.
These small habits make a real difference when precision matters.
JPEG compression changes pixel colors slightly to reduce file size. If you need exact brand colors, always source from PNG or vector-exported-as-PNG files. If only JPEG is available, sample from the center of large flat-color areas — compression artifacts are worst near edges and fine details.
On images with small text, thin lines, or intricate patterns, use the zoom controls to enlarge the area before picking. The magnifier also helps here — enable it and hover over the area you want before clicking. Missing a pixel by even one column can give you a completely different color on complex images.
When building a brand palette from photography, don't rely on a single image. Extract dominant colors from 3–5 photos that represent the brand's visual style, then look for colors that appear consistently across multiple extractions. Those recurring colors are your brand's true visual DNA.
If the nearest CSS color name doesn't match your visual impression of the color (e.g., you sampled something that looks clearly purple but the nearest named color is "darkblue"), that's usually a signal that the image has unexpected color values — often from JPEG compression or screen color profiles.
Before committing to a color, pick several candidates from different areas of your image — the history row keeps them all visible. Compare the hex codes side by side to choose the one that best represents what you need before copying it to your project.
The "Open in Picker" button is one of the most useful features in the tool. Images rarely give you the exact color you need — they give you a good starting point. The main color picker lets you nudge hue, saturation, and brightness with precision after you've got your baseline from the image.
There are several ways to get a color from an image. Here's how this tool compares to the alternatives.
| Method | Precision | Privacy | Formats | Palette Extract | Best For |
|---|---|---|---|---|---|
| This Tool | ✓ Pixel-perfect | ✓ 100% local | ✓ Hex, RGB, HSL, OKLCH | ✓ Automatic | All use cases |
| Browser DevTools | ✓ Good | ✓ Local | CSS values only | ✗ | Web elements only |
| Photoshop Eyedropper | ✓ Excellent | ✓ Local | ✓ Many formats | Manual only | Pro photo editing |
| Google Lens | Approximate | ✗ Uploads to Google | Hex only | ✗ | Quick mobile grabs |
| Online Upload Services | Varies | ✗ Sends image to server | Usually Hex only | Sometimes | Simple use cases |
The questions people actually search for, answered without padding.