Upload Any Image or Photo
Drag and drop any JPG, PNG, WebP, SVG, or BMP file, paste directly from clipboard (Ctrl+V), or try our sample photo.
Sample colors directly from any photo or graphic. Hover with our high-precision magnifier loupe, identify color names, copy HEX, RGB, HSL, and CMYK codes, or auto-extract cohesive brand palettes. 100% private with zero file uploads.
Drop any photo, graphic, or logo here, paste from clipboard (Ctrl+V), or browse from your device.
10x enlarged pixel grid with centered reticle lets you pinpoint exact single pixels in high-res photos.
Instantly identifies recognizable names (e.g. "Dodger Blue", "Coral") using a 1,500+ curated shade dataset.
One-click copy for HEX, RGB, HSL, HSV, and CMYK, plus export palettes as CSS variables or JSON.
Automatically scans your uploaded image and discovers the top 8 vibrant dominant colors.
Sample pixels, identify exact shades, and copy color values in seconds directly in your web browser.
Drag and drop any JPG, PNG, WebP, SVG, or BMP file, paste directly from clipboard (Ctrl+V), or try our sample photo.
Glide your pointer across the canvas. A retro 9x9 zoomed magnifier lens reveals individual pixels and live color names.
Lock on any pixel to see exact HEX, RGB, HSL, HSV, CMYK values, color names, and export CSS or JSON palettes with one click.
Whether you're developing websites, designing brand guidelines, matching digital artwork hues, or checking text readability, our browser-based eyedropper provides professional-grade color inspection.
High-resolution photos can contain millions of subtle gradients. Our floating magnifier loupe enlarges a 9x9 pixel grid by 10x with zero blur, allowing you to select exact individual pixels.
Every sampled color is analyzed in real-time across multiple color spaces, including digital screen values and commercial print targets.
Your uploaded graphics, client logos, and proprietary marketing mockups are decoded strictly inside your computer's browser sandbox using HTML5 Canvas APIs.
Streamlining creative workflows for designers, developers, illustrators, and marketers.
Extract exact color codes from design inspiration screenshots, moodboards, or competitor websites to construct cohesive digital interfaces.
Sample lighting tones, natural skin tones, and environmental gradients from reference photography to build custom digital painting swatches.
Verify brand logo colors across vector graphics, verify CMYK print values, and ensure consistent color palette usage in marketing collateral.
Verify that foreground colors meet WCAG AA and AAA compliance contrast thresholds before publishing web interfaces.
Everything you need to know about extracting colors from images with We Make PDF.
Simply upload or drop your photo into the workspace. As you move your mouse cursor or drag your finger on a mobile screen, an automatic 110px Magnifier Loupe lens enlarges the pixels 10x with a centered reticle. When you find the desired hue, click or release your touch to lock the color and view its codes.
We Make PDF uses a comprehensive database of over 1,500 curated color names adhering to CSS, Pantone, and Namethatcolor specifications. Our Redmean perceptual distance algorithm computes the exact or closest human-friendly color name instantaneously inside your browser.
The color inspector displays HEX (#RRGGBB), RGB (rgb(r, g, b)), HSL (hsl(h, s%, l%)), HSV/HSB (hsv(h, s%, v%)), and CMYK (cmyk(c%, m%, y%, k%)). Every format includes a one-click copy button with instant clipboard confirmation.
Yes! If you are using Google Chrome, Microsoft Edge, or Opera on desktop, click the "Pick from Screen" button to launch your operating system native EyeDropper tool, allowing you to sample colors outside the browser window.
Yes. Upon loading your image, our client-side quantization engine scans the photo and extracts the top 8 vibrant dominant colors. You can click any dominant swatch to view its codes or pick colors manually to build a custom palette that can be exported as CSS variables or JSON.
No. Like all We Make PDF utilities, the Image Color Picker operates 100% locally in your web browser using HTML5 Canvas and WebAssembly. Your photos and graphics never leave your computer or phone.
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