Free Color Picker from Image Online

How to pick color from image

1. Click the upload area or drag and drop a JPEG, PNG, WebP, or GIF image directly onto the tool.
2. The color selector from image runs automatically and displays the dominant color palette within seconds.
3. Click any swatch to copy its HEX code, or switch to RGB or HSL view using the format toggle.
4. Export the full palette as CSS custom properties using the export button.
5. Use any extracted HEX as input in the palette generator, scheme generator, or contrast checker.

Get color code from image: HEX, RGB, and HSL output

The tool returns every extracted color in three formats simultaneously. The HEX color from image output (for example #3B82F6) is the most widely used format across CSS, Figma, Sketch, and design tools. The RGB output (rgb(59, 130, 246)) is useful for JavaScript color manipulation and CSS properties that require channel-level control. The HSL output is useful when you need to adjust lightness or saturation programmatically without converting between formats.

If you need the color in a format not shown here — such as RGBA, OKLCH, or a CSS custom property declaration — copy the HEX and use the color format converter to get the exact output you need. The converter accepts HEX input and outputs every standard CSS color format.

How the color detection algorithm works

When you upload an image, the color extraction tool draws it onto an HTML Canvas element and reads the full pixel data using the Canvas API. The image is scaled down to a maximum of 160x160 pixels before sampling to keep processing fast regardless of the original file size. Each pixel's RGB values are then placed into 5-bit per-channel frequency buckets — this groups perceptually similar colors together and builds a frequency map showing how often each color cluster appears across the entire image.

The image color analysis then selects the most frequent clusters and applies a minimum Euclidean distance filter between each selected color. This prevents the color identifier from image returning five near-identical shades when a single large flat region dominates the photo. The result is a palette of visually distinct dominant colors that accurately represents the image's actual color distribution rather than just the most frequently occurring pixel value.

Color palette from image: use cases for designers and developers

Generating a color palette from image sources is the standard approach whenever a design must be visually connected to existing photography or artwork. Product pages where the UI should complement the hero product shot. Editorial layouts where page colors reflect the featured photograph. Marketing campaigns where brand visual assets arrive before a formal style guide is defined. In all these cases, the image color scanner gives you a starting palette that is guaranteed to work with the image because the colors come directly from it.

Developers use this workflow for dynamic product pages where the palette adapts to the displayed item. Designers use it to maintain consistent visual themes across social media content or multi-page documents. The color palette generator can take any extracted HEX and expand it into a full 5-color harmony palette if the image extraction alone does not provide enough color variety for your project.

Color scheme generator from image: building a full palette

The colors this tool extracts are the image's dominant hues, not a theory-based color scheme. To turn those extracted colors into a structured design system, use the following workflow. Take the most visually prominent extracted HEX and enter it into the color scheme generator to produce a complementary, analogous, split-complementary, or triadic scheme built around that color. This gives you additional accent colors that are theory-consistent with your image's primary color.

Then use the tints and shades generator to produce an 11-step scale (50 to 950) for each hue in your scheme. These scales give you background tints, border colors, interactive states, and accessible text values. The complete workflow: extract from image, expand with scheme generator, scale with tints generator, verify with contrast checker. The result is a production-ready color system grounded in the image.

Image to hex converter: how to get the exact code

This tool works as an image to hex converter for the dominant colors in any photo. After uploading, each extracted color displays its HEX code directly below the swatch. Clicking the swatch copies the HEX to your clipboard in #RRGGBB format. If you want to find the HEX code for a specific pixel rather than a dominant color cluster, your browser's built-in DevTools eyedropper (available in Chrome and Firefox color pickers) is the right tool for single-pixel sampling.

Once you have a HEX from this tool, use the color name finder to identify the closest CSS color name for that value, which is useful for code readability and documentation. The color name finder uses perceptual Delta-E distance to find the most visually similar named color, not just the closest raw hex number.

Online color picker from image: privacy and browser processing

This online color picker from image runs entirely client-side. When you upload a file, the browser's FileReader API reads it locally and passes it to an HTML Canvas element for pixel analysis. No outbound network request is made at any point. The image data never reaches any server, is never logged or stored, and is cleared from memory when you close or refresh the page.

This makes the tool safe to use with confidential design assets, unreleased product photography, internal brand materials, or any image you need to keep private. You can verify this claim independently by opening your browser's DevTools network tab before uploading and confirming that no requests are sent during or after the upload process.

Color dropper from image vs pixel-level eyedropper

A color dropper from image extracts dominant colors across the whole photo automatically. A pixel-level eyedropper samples the exact color at the single pixel you click. These are complementary tools that serve different needs.

Use this tool when you want to understand the overall color distribution of an image, build a palette from it, or identify what colors make up a photo's visual feel. Use a pixel eyedropper when you need the exact color value at a precise location: for example, matching a specific element's color in a screenshot or reading a value from a reference design. Most design tools including Figma, Adobe XD, and browser DevTools include a built-in eyedropper for the pixel-level use case.

Tips for getting the best color extraction results

• Use images with clear color regions. Illustrations, flat-design artwork, and product photography against solid backgrounds extract the most distinct and usable palettes.
• Crop before uploading. If only part of the image contains the colors you want, crop to that region first. The algorithm weights all pixels equally, so large irrelevant areas affect results.
• Expect muted tones from complex photos. Heavily textured photographs with many gradients return averaged, muted tones. This is an accurate representation of the image's average colors but may be less saturated than you perceive visually.
• Run multiple targeted extractions. Crop to different sections of the same image and extract separately to capture specific color areas the full-image analysis might average out.
• Use extracted colors as starting points. Take the most useful HEX values and expand them with the scheme generator or tints and shades generator rather than using the raw extracted palette as a final design system.