Color Palette Generator
Upload a photo or design and automatically extract its dominant colors as hex codes and CSS variables.
How to use this tool
| Step | What to do | Details |
|---|---|---|
| 1 | Add one image | Upload a photo, screenshot or design file. |
| 2 | Choose how many colors | Pick 5, 8 or 12 swatches to extract. |
| 3 | Click "Extract Colors" | The tool samples pixels across the image and groups them into representative color clusters. |
| 4 | Copy or download | Click any swatch to copy its hex code, or download the full palette as JSON/CSS variables. |
You’ve got a photo that nails the mood you want for a new brand — maybe a sunset shot, a product photo a client sent over, or just a piece of art you’re using as a mood board reference — and now you need to turn “the vibe of this picture” into a set of actual hex codes you can hand to a developer or plug into a stylesheet. Eyeballing a photo and guessing at hex values in a color picker is slow and imprecise, and different monitors make it worse. This tool skips that guesswork: upload an image, and it samples the colors actually present in it and hands you back a palette of hex codes, ready to use.
How it actually finds a palette in a photo
Photos are made of thousands, often millions, of very slightly different colors, so pulling out “the” dominant colors isn’t as simple as reading a handful of random pixels — a photo of a red apple on a white table has an enormous range of reds and off-whites, not five or six clean colors sitting there waiting to be picked. To make sense of that, the tool works from a small, downscaled copy of your image rather than the full-resolution original, which keeps things fast without meaningfully changing the result. It then looks at the colors of the pixels in that smaller version and groups similar shades together into buckets — pixels close enough in color to be practically the same are treated as one group rather than counted separately. Whichever groups end up with the most pixels in them become your palette, ordered roughly by how much of the image they cover. It’s a rough, practical version of what’s formally called color quantization, and it’s genuinely good at surfacing the colors that visually dominate a photo, rather than getting distracted by a handful of stray, unrepresentative pixels.
Picking a count, and what you actually get back
You can choose 5, 8, or 12 swatches depending on how much detail you want out of the image — 5 tends to give you the broad strokes of an image’s color story, while 12 starts picking up secondary and accent tones that a smaller count would merge together. Each swatch comes back as a plain hex code, and clicking on one copies that code straight to your clipboard, which is the fastest way to grab a single color while you’re working. Worth knowing: the palette is hex codes only, not named colors — you won’t get a swatch labeled “dusty rose” or “ocean teal,” just the actual value, which keeps things precise rather than approximate. If you want the whole set at once rather than one swatch at a time, it’s also downloadable as a JSON file listing every hex code, or as a small CSS file defining each color as a custom property, ready to drop into a stylesheet and reference in your own code.
Where this actually earns its place in a workflow
- A designer building a website theme around a client’s product photography or existing brand photo, who needs real hex values instead of an approximate match by eye.
- A hobbyist working from a reference photo for a painting, an embroidery piece, or any craft where matching a specific set of colors from a photo matters.
- A developer who screenshotted a design mockup or inspiration image and wants CSS custom properties generated from it in seconds, instead of manually sampling colors one at a time with a picker tool.
A palette is a starting point, not a finished design
It’s worth being upfront that the tool hands you raw colors, ordered by how much of the image they cover, not a ready-made design system. It won’t tell you which swatch should be your background, which one works as body text, or which pairing has enough contrast to be readable — that judgment is still yours to make. In practice, the swatch that dominates a photo by pixel count is often a mid-tone that makes a fine accent color but a poor choice for a text-on-background pairing, so treat the output as raw material for a palette rather than a complete one handed to you. A quick habit that helps: pull the palette in, then check your intended text and background combination in a contrast checker before you commit to it in a live design, especially if accessibility matters for the project.
A couple of things help the result come out better. Images with clear, distinct areas of color — a product photo, a logo, a graphic with flat color blocks — tend to produce a cleaner, more useful palette than a busy photo full of gradients and fine texture, where the dominant colors can end up being murky in-between shades rather than the punchy tones you were hoping to pull out. Fully transparent areas of a PNG are ignored rather than counted as color, so a logo on a transparent background won’t have its palette diluted by “transparent” being treated as a color in its own right.
The image you upload is read and processed locally, using your browser’s own canvas tools to sample the pixels — it’s never sent to a server to have its colors analyzed. That’s a small thing for a public product photo, but it matters more if the reference image is an early, unreleased design or a client asset you’re not meant to be sharing around. Either way, you get a palette back in a second or two, ready to copy, paste, or download, without the file having gone anywhere further than your own browser tab.