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Color Palette Generator

Extract beautiful color palettes from any image using K-Means clustering. Copy HEX, RGB, HSL — export CSS, Tailwind, JSON, Adobe ASE and more.

lock Your image never leaves your device
palette

Click, drag & drop, or paste an image

PNG · JPEG · WEBP · GIF · AVIF · BMP · ICO · SVG — max 50MB

casino Random Palette Generator

No image? Generate a professional palette instantly from a design category.

How Our Color Palette Generator Works

Five steps, entirely inside your browser tab — no server ever sees your image.

1

Upload or Paste

Drag and drop, click to browse, or paste an image straight from your clipboard.

2

Local Preprocessing

The image is decoded and downsampled on a <canvas> element, and transparent pixels are filtered out.

3

Color Clustering

A weighted K-Means algorithm groups similar pixels into clusters and finds each cluster's true center color.

4

Review & Refine

Lock colors you like, fine-tune hue and lightness, rename swatches, or regenerate with a different mode.

5

Copy or Export

Copy HEX/RGB/HSL instantly, or export CSS, Tailwind, Figma, Adobe ASE and 10+ other formats.

palette

What Is a Color Palette Generator?

verified_user Expert Reviewer: Baylal
update Last Updated: July 2026

A color palette generator is a tool that analyzes an image and identifies its most representative colors — its dominant colors — so you can reuse them elsewhere. Toolsvy's color palette generator from image does this with color clustering: every pixel in your photo is treated as a point in 3D color space, and a clustering algorithm (K-Means) groups nearby points together and reports the center of each group as one palette color.

Palettes matter because color is rarely chosen one swatch at a time — it's chosen as a system. A logo, a website, an app and a slide deck all need to share the same handful of colors to look like they belong to the same brand. Rather than guessing HEX codes by eye, designers use an image color picker or dominant color extractor to pull an accurate, cohesive palette directly from a photo, screenshot, painting, or existing brand asset — then build UI, illustrations, or marketing material on top of it.

Toolsvy's Color Palette Generator extracts dominant colors from any photo, screenshot or artwork using real K-Means clustering — entirely inside your browser. Copy HEX, RGB, HSL and eight other color formats instantly, or export ready-to-use CSS, Tailwind, SCSS and design-tool palettes. No uploads, no accounts, no limits.

lightbulb TL;DR

  • Upload any image to instantly generate a professional color palette — extract dominant colors and copy HEX, RGB or HSL values.
  • Build CSS variables and export to Tailwind, Figma, Sketch and Adobe ASE with one click.
  • Everything is processed locally in your browser, so your image and colors never leave your device.
Client-Side Instant Results 100% Free No Upload

Why Designers Use Color Palettes

A consistent palette is what makes a product feel designed rather than assembled.

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Branding

Extract a logo or product photo's colors to define a consistent brand palette.

apps

UI Design

Turn a mood-board image into buttons, cards and interface color tokens.

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UX & Interaction

Pick accessible foreground/background pairs before wiring up a flow.

language

Web Design

Generate a website color palette straight from a hero photo or banner.

slideshow

Presentations

Match slide themes to a client's photography or brand imagery.

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Illustration

Lock a reference image's palette so illustrations stay tonally consistent.

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Game Art

Extract a concept scene's palette to keep level art and UI in harmony.

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Mobile Apps

Export straight to Flutter or Swift color constants for native apps.

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Dashboards

Assign distinct, on-brand colors to charts, series and status indicators.

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Social Media

Build on-brand templates by pulling colors from your best-performing posts.

Choosing Better Colors

Warm vs. Cool

Warm colors (reds, oranges, yellows) feel energetic and advance toward the viewer; cool colors (blues, greens, purples) feel calm and recede. Toolsvy's Warm and Cool extraction modes bias clustering toward these hue ranges when you want a palette with a specific temperature.

Contrast

Contrast is the perceptual difference between two colors' lightness. High contrast (dark text on a light background) is easy to read; low contrast is easy to miss. The Accessibility Engine section below scores every pair in your palette so you know which combinations actually work.

Hierarchy

Not every color in a palette should be used equally. Pick one dominant color for backgrounds, one strong accent for calls-to-action, and reserve the rest for supporting details — the Live Preview and Live Preview roles in this tool assign primary, secondary and accent colors automatically for exactly this reason.

Visual Balance

A palette feels balanced when saturated accents are used sparingly against calmer neutrals, rather than several equally loud colors competing for attention. The Distribution chart shows exactly how much of your image each color occupies, which is a good proxy for how "loud" a color will feel in a design.

Color Psychology

Color carries association: blue often reads as trustworthy and calm, green as natural or financial growth, red as urgent or passionate, yellow as optimistic. These associations are cultural rather than universal, so treat them as a starting hypothesis to test, not a rule.

Accessibility

A beautiful palette that fails WCAG contrast requirements will exclude real users. Always check text-on-background pairs against the WCAG AA (4.5:1) or AAA (7:1) thresholds before shipping a design — see the Accessibility Guide below.

Understanding Color Models

Every extracted swatch in this tool is converted into all nine formats below.

FormatExampleWhat it means
HEX#2f6f65Base-16 shorthand for RGB, used almost everywhere in CSS and design tools.
RGBrgb(47, 111, 101)Red, Green, Blue channels from 0–255, mixed additively like light.
RGBArgba(47, 111, 101, 1)RGB plus an alpha (opacity) channel from 0–1.
HSLhsl(174, 40%, 31%)Hue, Saturation, Lightness — the easiest model for humans to reason about.
HSVhsv(174, 58%, 44%)Hue, Saturation, Value — common in color pickers and painting software.
HWBhwb(174 18% 56%)Hue, Whiteness, Blackness — a native CSS Color Level 4 format.
CMYKcmyk(58%, 0%, 9%, 56%)Cyan, Magenta, Yellow, Key(black) — used for print, mixed subtractively like ink.
LABlab(41.4, -20.6, 2.1)Perceptually uniform space: equal numeric distance ≈ equal perceived difference.
LCHlch(41.4, 20.7, 174.1)LAB expressed as Lightness, Chroma and Hue — easier to tune than raw LAB.
XYZxyz(12.4, 16.8, 15.1)The CIE reference space every other color model is ultimately derived from.

Accessibility Guide: WCAG Contrast Explained

The Web Content Accessibility Guidelines (WCAG) define a contrast ratio between 1:1 (identical colors) and 21:1 (pure black on pure white), calculated from each color's relative luminance. Toolsvy's Accessibility Engine computes this ratio for every pair of colors in your palette automatically.

WCAG AA

The minimum standard most sites should meet: a contrast ratio of at least 4.5:1 for normal text, or 3:1 for large text (18pt+, or 14pt+ bold).

WCAG AAA

The enhanced standard: a contrast ratio of at least 7:1 for normal text, or 4.5:1 for large text — recommended for critical or high-traffic interfaces.

For readable buttons: pair your button background against its label color and confirm at least AA (4.5:1). If a button fails, either darken the background or lighten the label — the Accessibility Engine's "Suggested Fix" column does this automatically.

For readable cards: body text on a card background should hit AA at minimum; headings can sometimes get away with the 3:1 large-text threshold if sized 18pt or above.

For accessible interfaces overall: never rely on color alone to convey meaning (use icons or text labels alongside color-coded status), and always test your palette's real contrast ratios rather than trusting how "readable" it looks on your own monitor.

From Palette to Code

The Developer Export Hub above generates all of these automatically — here's what the output looks like.

code CSS Variables

:root {
  --ocean-blue: #2f6f65;
  --pearl-white: #f5f5f0;
  --midnight-navy: #0d1b2a;
}

style Tailwind Config

module.exports = {
  theme: {
    extend: {
      colors: {
        'ocean-blue': '#2f6f65',
        'pearl-white': '#f5f5f0',
        'midnight-navy': '#0d1b2a',
      }
    }
  }
}

smartphone Flutter

class AppColors {
  static const Color oceanBlue = Color(0xFF2F6F65);
  static const Color pearlWhite = Color(0xFFF5F5F0);
  static const Color midnightNavy = Color(0xFF0D1B2A);
}

terminal React Theme Object

export const theme = {
  colors: {
    oceanBlue: '#2f6f65',
    pearlWhite: '#f5f5f0',
    midnightNavy: '#0d1b2a',
  }
} as const;

Branding Tips: Give Every Color a Job

A resilient brand palette assigns a clear role to each color rather than using them interchangeably.

RoleUsed for
PrimaryYour main brand color — logo, header, primary buttons.
SecondarySupports the primary color without competing with it — secondary buttons, backgrounds.
AccentA high-saturation color reserved for the one action you most want noticed.
NeutralGrays, whites and near-blacks for text, borders and surfaces.
SuccessConfirms a completed or positive action — typically green.
WarningFlags something that needs attention but isn't broken — typically amber.
ErrorSignals failure or a destructive action — typically red.
InformationNeutral, non-urgent notices — typically blue.

Common Color Palette Mistakes

Using Too Many Colors

Most interfaces need 4–6 colors total. Beyond that, extract more but only promote a handful to real UI roles.

Poor Contrast

Light gray text on white looks elegant in a mockup and fails for anyone with low vision or a bright screen outdoors.

Ignoring Accessibility

Contrast checks are not optional polish — they determine whether real users can actually read your interface.

Over-Saturation

Several fully-saturated colors together create visual noise. Let one accent be loud and mute the rest.

Random Palettes

Colors picked without a source image or a system rarely relate to each other in hue, saturation or lightness.

No Hierarchy

If every color is used with equal weight, nothing stands out — assign primary, secondary and accent roles deliberately.

How We Calculate Colors

Preprocessing. The source image is drawn to an off-screen <canvas> and downsampled to a maximum dimension of 48px (Fast), 96px (Balanced) or 160px (Precise) before sampling, which keeps clustering fast without materially changing the dominant colors. Pixels with alpha below 16/255 are discarded so transparent areas don't skew results.

Clustering. Extraction uses K-Means++ seeding (each new starting center is chosen with probability proportional to its squared distance from existing centers, weighted by pixel importance) followed by weighted Lloyd's-iteration refinement — 6 to 16 iterations depending on the selected quality preset. Distance between colors is measured with the redmean formula, a low-cost approximation of human color perception that weights the red, green and blue channels differently depending on their average red level, rather than treating RGB as a naive Euclidean cube.

Smart extraction modes. Before clustering, each pixel is assigned a weight based on its hue, saturation and lightness according to the selected mode (Vibrant, Muted, Pastel, Skin Tone Safe, and so on). This changes which pixels the clustering algorithm treats as important, so the same photo produces meaningfully different palettes depending on your intended use case — not just a re-sorted version of the same colors.

Color space conversions. Every extracted RGB value is converted to HSL, HSV, HWB, CMYK, LAB, LCH and XYZ using standard sRGB-referenced formulas, including the piecewise gamma correction defined by the sRGB specification for LAB/XYZ conversion.

Accessibility math. Contrast ratios use the WCAG 2.x relative luminance formula and the standard (L1 + 0.05) / (L2 + 0.05) contrast equation. Color comparison uses CIE76 Delta-E (Euclidean distance in LAB space) as a fast, broadly-accepted approximation of perceptual color difference.

Performance. On supporting browsers, clustering runs inside a Web Worker so the main thread — and your scrolling, typing and clicking — never freezes, even at the Precise quality setting.

shield

Your Privacy, By Architecture

check_circle Your image never leaves your device.
check_circle No cloud uploads — extraction runs on your own hardware.
check_circle No tracking of what you extract or export.
check_circle No analytics on image contents, ever.
check_circle Everything runs locally in the Canvas API and a Web Worker.
check_circle Your file is discarded from memory when you close the tab.

Palette history and favorites are saved only in your own browser's local storage — never sent anywhere — and can be cleared at any time from your browser settings.

Quick Answers

What is a color palette generator?

A color palette generator analyzes an image and extracts its most dominant colors using clustering, giving you a small set of representative HEX, RGB or HSL colors to reuse in design work.

How do I extract colors from an image?

Upload, drag, or paste an image into Toolsvy's Color Palette Generator, choose how many colors you want, and click Extract Palette — colors appear in seconds.

Can I copy HEX colors?

Yes. Click the copy icon on any swatch to copy its HEX code, or use the palette-wide copy menu for RGB, HSL, CSS variables and more.

Is this tool free?

Yes. Toolsvy's Color Palette Generator is completely free, with no sign-up, no watermark, and no limit on how many palettes you generate.

Does my image upload anywhere?

No. Every pixel is processed locally in your browser using the Canvas API — your image is never uploaded to a server or seen by anyone else.

help FAQ

Frequently Asked Questions

How do I generate a color palette from an image?

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Upload or drag and drop any image into the tool above. It analyzes every pixel locally using K-Means clustering and instantly extracts the most representative colors as a palette you can copy or export.

Is this tool free?

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Yes. Every feature — extraction, editing, harmonies, gradients, accessibility checks and all export formats — is completely free, with no sign-up, watermark, or usage limit.

Is my image uploaded to a server?

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No. Your image never leaves your device. All color extraction runs entirely client-side using the Canvas API — nothing is uploaded, stored, or tracked.

What image formats are supported?

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PNG, JPEG/JPG, WEBP, GIF (first frame), AVIF, BMP, ICO and SVG, up to 50MB per file.

Can I export CSS variables?

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Yes. The Developer Export Hub generates a ready-to-paste :root { --name: #hex; } block, along with SCSS, LESS and 20+ other framework-specific formats.

Can I export Tailwind colors?

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Yes. Choose Tailwind Config from either the Export section or Developer Mode to get a theme.extend.colors object with each swatch already named and ready to drop into your config file.

What is HEX?

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HEX is a base-16 shorthand for RGB — for example #2f6f65 — and is the most common color format in CSS, design tools and image editors.

What is RGB?

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RGB describes a color as Red, Green and Blue light intensities from 0–255, mixed additively — rgb(47, 111, 101) is the same color as HEX #2f6f65.

What is HSL?

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HSL describes a color by Hue (its position on the color wheel), Saturation (intensity) and Lightness — it's usually the easiest format for humans to adjust by hand.

Which color format should I use?

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Use HEX or CSS variables for web development, RGB/RGBA when you need transparency control, HSL when tweaking a color by eye, and CMYK only if you're preparing artwork for print.

Can I use this for logos?

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Yes. Upload a logo file (PNG or SVG work well) and use Brand Colors mode, which biases extraction toward the most saturated, most "brand-like" colors rather than background noise.

Can I analyze a screenshot?

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Yes. Screenshots of apps, websites or dashboards work exactly like photos — the UI Friendly extraction mode is tuned specifically for interface screenshots.

Can I analyze a UI design or mockup?

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Yes. Export or screenshot your mockup, upload it here, and use UI Friendly or Balanced mode to pull out the colors already used in the design as a reusable palette.

Can I analyze a painting or illustration?

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Yes. Artwork, illustrations and paintings work well with Dominant, Vibrant or Muted mode depending on whether you want the bold accents or the overall tonal palette.

Does transparency affect the extracted colors?

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Fully or mostly transparent pixels (below 16/255 alpha) are excluded from clustering, so a transparent background won't bias your palette toward white or black.

How accurate is the color extraction?

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Extraction uses real K-Means++ clustering with perceptually-weighted color distance (not a naive pixel average), and the Precise quality preset samples at a higher resolution for more accurate results on detailed images.

Can I edit the palette after extraction?

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Yes. The Smart Palette Editor lets you adjust hue, saturation, lightness and alpha on any swatch, replace it entirely, duplicate or delete colors, drag to reorder, and undo or redo any change.

How many colors can I extract from one image?

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You can choose to extract 2, 3, 4, 5, 6, 8, 10 or 12 colors from a single image, depending on how detailed you want the palette to be.

Can I use the palettes commercially?

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The colors and code Toolsvy generates from your own images are yours to use freely in commercial projects. If you extract colors from a photo or logo you don't own, make sure you have the rights to that source image.

Can I import the palette into Figma?

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Yes. Export Figma JSON for a color-styles-compatible file, or Figma Variables JSON from the Developer Export Hub for the newer Variables format.

Does this tool work offline?

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Once the page has loaded, extraction, editing and exporting all run locally in your browser and don't require an active connection — only the initial page load needs the internet.

What is the difference between the smart extraction modes?

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Each mode changes how pixels are weighted before clustering. Vibrant favors highly saturated pixels, Muted favors low-saturation tones, Pastel favors light soft colors, Dark/Light Theme bias toward low or high lightness, and Warm/Cool bias toward specific hue ranges — so the extracted palette matches your intended use case.

Does this tool work on mobile?

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Yes. You can upload from your phone's gallery, take a photo directly, or paste a copied image — the tool works fully in mobile browsers with no app required.

Does the tool remember my previous palettes?

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Yes. Palette History keeps your recent extractions, favorites, pinned palettes and export log in your browser's local storage, so you can restore any of them later — even after closing the tab.