How to Extract a Color Palette from an Image
A single photo can hand you a color scheme that would take hours to build by hand — the light, the mood, the way the tones already agree with each other. Here's how to pull a clean, usable palette out of any image in seconds, free and without uploading a thing.
Why pull colors from an image?
Designers reach for image-based palettes because the colors are already harmonious in context. A sunset, a product shot, a favourite film still — the tones were lit and captured together, so they tend to sit well next to each other. Common reasons people extract a palette from an image:
- Match a brand to its logo or product photo so the whole site feels on-brand.
- Set a mood — pull a warm, earthy scheme from a landscape or a cool, clinical one from an interior.
- Build a moodboard into real tokens you can actually ship to CSS or Tailwind.
- Beat the blank page — start from something real instead of guessing hex codes.
The fastest way: extract a palette in one step
The quickest route is a browser tool that does the color math on your device. Using Palet, it takes three moves:
- Open the tool. Go to the Palet app and sign in — it's free, with Google or a one-tap email link.
- Add your image. Drag a photo anywhere onto the page, paste one from your clipboard with Ctrl/Cmd + V, or click Image to browse. Palet reads it instantly and lays out a five-color palette.
- Refine and export. Lock the colors you love, nudge the rest, then copy the palette as CSS, Tailwind, SVG, or a full design system.
Nothing gets uploaded. Palet extracts colors in your browser with the Canvas API, so your image never leaves your device. That's better for privacy — and faster than tools that round-trip your photo to a server.
Raw vs. refined: getting a palette you can actually use
Straight color extraction gives you the most common colors in the picture — which isn't always the same as a palette you'd want to design with. A photo of a person on grass might be 60% green and 30% skin tone, which makes a muddy scheme. That's why Palet gives you two modes:
- Raw — the literal dominant colors, exactly as they appear in the image. Great when you want fidelity to the source.
- Premium — a refined brand palette: four cohesive colors that stay in the image's main hue family, plus one deliberate complementary accent for a pop. A blue logo stays blue, with a single warm highlight, instead of a jarring rainbow.
If your first result feels off, hit the spacebar to re-roll fresh variations that still match the picture's overall vibe.
How image color extraction actually works
Under the hood, "find the main colors" is a clustering problem. A photo can contain tens of thousands of distinct pixel colors, so a good extractor groups them into a handful of representative buckets. The classic approach — and the one Palet uses — is median-cut quantization:
- The image is scaled down (Palet uses roughly 160px) so there are fewer pixels to crunch — this is why it feels instant.
- Every pixel is placed in one big box in RGB color space.
- The box is repeatedly split along its longest color axis at the median, halving into smaller boxes until there are as many boxes as colors you want.
- Each final box is averaged into one representative color — and those become your palette.
Because the split follows the data, median cut captures distinct colors well without being thrown off by a few very bright or very dark outliers. Palet then layers color-theory rules on top (in the Premium mode) so the output reads as a designed palette, not just a list of averages.
5 tips for a better extracted palette
- Crop to what matters. If you only want the colors from a jacket or a logo, crop the image first so those tones dominate.
- Try both modes. Use Raw for faithful reproduction, Premium when you need something that behaves like a brand system.
- Lock, then re-roll. Found two perfect colors? Lock them and press space — the rest regenerate in harmony around what you kept.
- Check contrast. Hover any color in Palet to see its WCAG and APCA contrast score, so your text stays readable before you commit.
- Mind color-blind readers. Use the Vision preview to simulate how the palette looks to people with color-vision deficiencies.
Turn your palette into something shippable
Five nice swatches are a start; a design you can build needs a bit more. Once you've extracted a palette, Palet can expand it into a full system in one click: tint and shade ramps (50→950), semantic tokens (background, surface, text, primary, accent, success, warning, danger), and an auto-generated dark mode. Export it as:
- CSS variables, SCSS, or a Tailwind config
- W3C design tokens (DTCG JSON) or Figma tokens
- A PNG/SVG swatch, a shareable link, or an Adobe
.asefile
That's the difference between "here are some colors from my photo" and a palette that drops straight into your codebase.
Frequently asked questions
How do I get a color palette from a photo?
Open a browser tool like Palet, drag your photo onto the page (or paste it with Ctrl/Cmd+V), and it instantly extracts the dominant colors into an editable five-color palette. Everything runs locally, so the image is never uploaded.
Is extracting colors from an image free?
Yes — Palet is free to use, with no watermark and no paid tier. You sign in with a free account (Google or an email link) to open the tool and keep your saved palettes. The color math runs on your device, so there's no API cost to pass on.
Are my images uploaded to a server?
No. Palet reads the image directly in your browser with the Canvas API and never sends it anywhere — your photo stays on your device.
How many colors should a palette have?
Five is a practical default: one or two dominant colors, a couple of supporting tones, and an accent. Palet extracts five and lets you lock the ones you like and refine the rest.
Try it on your own image
Sign in free with Google or email, drop in a photo, and get a palette in seconds — your image never leaves your device.
Extract a palette now →