How to Create a Color Palette from an Image (Free Online Tool)

You have a photo, a logo, or a screenshot, and you want to use its colors in your design. Instead of eyeballing it or toggling between tools, you can extract the exact color palette from any image in seconds — no Photoshop, no Figma, no design background required.

This guide explains what color extraction does, when to use it, and how to get accurate results you can use in CSS, Figma, Canva, or any design tool.

What color palette extraction does

An image is made up of millions of pixels, each with a precise color value. Color palette extraction analyzes those pixels and identifies the dominant, recurring colors — returning them as HEX codes, RGB values, or HSL values that you can copy and use anywhere.

The result is typically 5–10 colors that represent the image's visual identity: the main background tone, the primary subject colors, accent shades, and neutrals.

This is useful whenever you need to:

• Match a website or app's color scheme to a brand photo or logo
• Build a UI color system inspired by a mood board
• Identify what colors a competitor's design uses
• Create social media templates that match your photography
• Find the exact hex code of a specific element in a screenshot

How to extract a color palette from an image

1. Go to the Color Palette Generator on FixTools
2. Upload your image — JPG, PNG, or WebP all work
3. Get the extracted palette — the tool analyzes the pixels and returns the 5–10 most dominant colors
4. Copy the HEX or RGB codes — paste them directly into your CSS, Figma, or Canva project

The whole process takes about ten seconds.

Understanding what the extracted colors mean

Not all extracted colors are equally useful. Here is how to read the output:

Dominant color

The color with the highest pixel count in the image. On a landscape photo, this is often sky blue or grass green. On a product photo with a white background, the dominant color will be white — not the most useful design signal.

Mid-range colors

These are the secondary and tertiary colors. For a portrait, this might be skin tones and clothing. For a logo, these are the actual brand colors you are trying to extract.

Accent colors

Smaller clusters that represent highlights, shadows, or focal points. A jewellery photo might extract gold and silver tones here even if the background dominates the pixel count.

When building a design palette, do not use the extracted colors mechanically. Pick 3–5 that represent the mood and use case, discard near-duplicates, and adjust lightness as needed.

Building a functional design palette from extracted colors

Extracted colors are raw material. A usable design palette requires structure. Here is a pattern that works for most use cases:

The 60-30-10 rule

• 60% dominant color — typically a neutral like white, off-white, or a muted background tone
• 30% secondary color — the main brand or accent color used for headers, buttons, and primary UI elements
• 10% accent color — a punchy or contrasting color used sparingly for emphasis, calls to action, or highlights

If you extract 8 colors from a brand photo, identify which one fits each role rather than using all 8 equally.

Checking contrast ratios

Once you have a palette, check that text colors contrast sufficiently against background colors. WCAG 2.1 accessibility guidelines require a contrast ratio of at least 4.5:1 for normal text and 3:1 for large text. A dark navy blue on white easily clears this threshold. A pale yellow on white does not.

Tools like the Chrome DevTools color picker and online contrast checkers let you verify ratios quickly. If an extracted color fails the contrast check, adjust its lightness slightly — the hue stays the same but the text becomes readable.

Practical use cases for image color extraction

Matching a website to photography

If you have a hero image and want the site's button color, heading color, and link color to feel coordinated with the photo, extraction gives you the exact values. This is far more effective than trying to manually match colors by eye.

Creating a brand from a logo

Upload a company logo to extract its exact brand colors. This is especially useful when you have a rasterized (PNG or JPG) version of a logo with no access to the original files and need to use the colors consistently across marketing materials.

Designing social media templates

Instagram and Pinterest content performs better when images feel visually consistent. Extract a palette from your photography style, apply it to your Canva or Figma templates, and every post will match even when the subject changes.

Building a mood board palette

Collect 3–4 photos that represent the feel of a project — a brand identity, an interior design, a film's visual style — and extract palettes from each. The overlapping colors across all images are your core palette.

Color formats and where to use them

Once you have extracted your colors, you will encounter several format options:

Format	Example	Where to use
HEX	#3A7BD5	CSS, Figma, Canva, HTML
RGB	rgb(58, 123, 213)	CSS, design tools
HSL	hsl(214, 65%, 53%)	CSS, easier to adjust programmatically
CMYK	C:73 M:42 Y:0 K:16	Print design

For web and app development, HEX and RGB are the most widely used. In CSS, any of the three formats work:

/* All three represent the same color */
color: #3A7BD5;
color: rgb(58, 123, 213);
color: hsl(214, 65%, 53%);

HSL is worth learning because adjusting the lightness value (the third number) lets you create lighter and darker shades of the same color without changing the hue — useful for hover states, disabled states, and gradient steps.

Common mistakes when extracting color palettes

Including the background in your palette

If your photo has a plain white or grey background, those near-neutral colors will dominate the extracted palette. Crop out the background before extracting, or mentally discard the neutrals and focus on the mid-range subject colors.

Using too many similar colors

Extracted palettes often return several near-identical shades of the same color. A beach photo might return four slightly different blues from the sky. Pick the best one for each role and discard the rest. Using four similar blues in a design looks like a mistake, not like a deliberate palette.

Ignoring saturation differences

Two colors can have the same hue but very different saturation levels — a washed-out blue and a vivid blue are not interchangeable in a design. When evaluating extracted colors, look at saturation as well as hue. Mixing very saturated and very desaturated versions of the same hue often looks accidental.

Extracting colors from specific image types

Logos

Upload the original PNG with transparency if available. If the logo is on a white background, the extraction will include white — ignore it and focus on the remaining colors.

Brand photography

Look for the 2–3 colors that feel most intentional and brand-defining. Fashion brands that always shoot on muted backgrounds will have consistent warm neutrals in every extracted palette.

Screenshots and UI examples

Color extraction from UI screenshots is a great way to reverse-engineer a color system you want to understand. The most common colors in a screenshot will be the design's primary background, primary text, and main accent — immediately giving you the core palette.

Extract your palette now

Upload any image to the FixTools Color Palette Generator and get the dominant colors as HEX codes ready to copy. No sign-up, no software install — just the color values you need in seconds.