Image Color Picker — Pick Colors from Any Photo
Upload any image and click any pixel to get the exact HEX, RGB, and HSL color values. Copy in one click — 100% browser-based.
Drop image here or click to upload
JPG, PNG, WebP, HEIC — max 20MB
You can also paste an image (Ctrl+V)
What Is an Image Color Picker Tool?
An image color picker is an eyedropper tool that samples the exact color of any pixel in a photo or graphic. You click any point on the image and instantly get the color value in multiple formats — HEX, RGB, and HSL. Designers, developers, and artists use color pickers to match colors from photographs, logos, screenshots, or brand references for use in CSS, design software, or brand style guides.
The browser Canvas API makes this possible entirely client-side: ctx.getImageData(x, y, 1, 1) reads the exact RGBA value of any pixel coordinate. Your image never leaves your device — the picking happens entirely in your browser memory.
HEX vs RGB vs HSL — Color Format Guide
All three formats represent the same color — they are different notations for the same underlying value. Choose the format that matches what you are working with:
| Format | Example | Best for |
|---|---|---|
| HEX | #ff6b35 | HTML, CSS, most design tools, web color pickers |
| RGB | rgb(255, 107, 53) | CSS, image editing software, Photoshop, Illustrator |
| HSL | hsl(20, 100%, 60%) | CSS, when you want to adjust lightness or saturation |
HEX is the most universally accepted — paste it directly into any design tool, CSS file, or color input. RGB is standard in Photoshop and Lightroom color panels. HSL is most useful in CSS when you want to programmatically create lighter or darker variants of a color by adjusting the L value while keeping the H and S fixed.
Common Use Cases for Color Picking
Matching brand colors from a logo
Upload a logo or brand asset and click the exact color you need. Get the precise HEX value to use in CSS, Figma, Canva, or any other design tool — no guessing, no color approximation.
Building a color palette from a photo
Pick multiple colors from a photograph to create a matching color palette. Sample the dominant color, accent tones, and neutrals from a product photo or hero image to use throughout your design.
CSS color matching for web design
Have a mockup or screenshot and need the exact CSS color? Click the element in the screenshot and copy the HEX value directly into your stylesheet. No estimation, no trial and error.
Identifying competitor brand colors
Screenshot a competitor's website or marketing material, upload it, and sample their brand colors exactly. Useful for competitive analysis, contrast checking, or understanding their visual system.
Product photography color matching
E-commerce product listings need consistent color descriptions. Upload a product photo and sample the exact color to provide accurate color values for product data, accessibility labels, or automated color tagging.
Illustration and digital art
Artists referencing real-world photos for digital illustration use color pickers to extract exact shades from reference photos — skin tones, fabric colors, environmental lighting — for accurate digital painting.
Understanding the HSL Color Model
HSL (Hue, Saturation, Lightness) is the most intuitive color model for designers. It separates the three properties you think about when describing a color:
Hue (0–360°)
The color angle on a color wheel. 0° = red, 60° = yellow, 120° = green, 180° = cyan, 240° = blue, 300° = magenta, 360° = red again. This is the "what color" component.
Saturation (0–100%)
0% = completely gray (no color), 100% = fully vivid color. Controls how "pure" or "washed out" the color appears. Low saturation = muted, pastel. High saturation = vivid, intense.
Lightness (0–100%)
0% = black, 50% = the pure color, 100% = white. Controls brightness. In CSS, you can create lighter/darker variants by only changing L while keeping H and S constant.
How Color Picking Accuracy Works
The Canvas API reads the exact RGBA value of the clicked pixel using ctx.getImageData(x, y, 1, 1).data. This returns four values: red (0–255), green (0–255), blue (0–255), and alpha (0–255). The tool converts these to HEX, RGB, and HSL and displays all three formats simultaneously.
One consideration: JPEG compression introduces small color artifacts. In a JPEG image, the color at a given pixel may differ slightly from the original due to compression rounding. For pixel-perfect color work, use PNG source images, which use lossless compression and preserve exact color values. For photography-based palette work, the small JPEG variation is negligible.
Your Images Never Leave Your Device
The image is loaded into an HTML canvas element in your browser. All color sampling runs locally using the Canvas getImageData API. No image data is sent to any server at any point. The color history is stored in browser memory only — it disappears when you close or refresh the page.