extract-colors
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Extract color palettes from images
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# Extract Colors
[](https://www.npmjs.com/package/extract-colors)
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[](https://www.npmjs.com/package/extract-colors?activeTab=dependencies)
[](https://github.com/Namide/extract-colors/actions)
[](https://codecov.io/gh/Namide/extract-colors)
[](#license)
[](https://www.npmjs.com/package/extract-colors)
Extract color palettes from images.
Simple use, < 6kB minified, gzip ≈ 2kB, fast process and no dependencies for browser.
Need image reader dependence for node.js
[Website](https://extract-colors.namide.com/) | [Demo](https://extract-colors.namide.com/demo) | [Guide](https://extract-colors.namide.com/guide)

## Requirements
### Browsers
- Firefox: 29+
- Chrome: 33+
- Edge: 12+
- Opera: 19+
- Safari: 8+
- Webview Android: 4.4.3+
- Samsung Internet: 2.0+
- ~~Internet Explorer~~
### Node
- Node.js: 6.0+
## Install
### For browser
```bash
npm install --save extract-colors
```
### For node.js
Need to install an ImageData extractor like `get-pixels`
```bash
npm install --save extract-colors get-pixels
```
## Usage
### Browser example
```js
import { extractColors } from "extract-colors";
const src = "my-image.jpg";
extractColors(src).then(console.log).catch(console.error);
```
> You can use different types for `src` param (`String` for a path of image, `HTMLImageElement` or `ImageData`).
### Node.js example
```js
const path = require("path");
const getPixels = require("get-pixels");
const { extractColors } = require("extract-colors");
const src = path.join(__dirname, "./my-image.jpg");
getPixels(src, (err, pixels) => {
if (!err) {
const data = [...pixels.data];
const [width, height] = pixels.shape;
extractColors({ data, width, height }).then(console.log).catch(console.log);
}
});
```
> This example use `get-pixels` but you can change the lib.
> Just send the ImageData object to `extractColors(imageData)`.
### ExtractorOptions
```js
const options = {
pixels: 64000,
distance: 0.22,
colorValidator: (red, green, blue, alpha = 255) => alpha > 250,
saturationDistance: 0.2,
lightnessDistance: 0.2,
hueDistance: 0.083333333,
};
extractColors(src, options).then(console.log).catch(console.error);
```
**pixels**
_Total pixel number of the resized picture for calculation_
Type: `Integer`
Default: `64000`
**distance**
_From 0 to 1 is the color distance to not have near colors (1 distance is between white and black)_
Type: `Number`
Default: `0.22`
**colorValidator**
_Test function to enable only some colors_
Type: `Function`
Default: `(red, green, blue, alpha = 255) => alpha > 250`
**crossOrigin**
_Only for browser, can be 'Anonymous' to avoid client side CORS_
_(the server side images need authorizations too)_
Type: `String`
Default: `""`
**requestMode**
_Only for Web Workers in browser: it's used to determine if cross-origin requests lead to valid responses, and which properties of the response are readable_
Type: `String`
Default: `cors`
**saturationDistance**
_Minimum saturation value between two colors otherwise the colors will be merged (from 0 to 1)_
Type: `String`
Default: `0.2`
**lightnessDistance**
_Minimum lightness value between two colors otherwise the colors will be merged (from 0 to 1)_
Type: `String`
Default: `0.2`
**hueDistance**
_Minimum hue value between two colors otherwise the colors will be merged (from 0 to 1)_
Type: `String`
Default: `0.083333333`
## Return of the promise
Array of colors with the followed properties:
```js
[
{
hex: "#858409",
red: 133,
green: 132,
blue: 9,
hue: 0.16532258064516128,
intensity: 0.4862745098039216,
lightness: 0.2784313725490196,
saturation: 0.8732394366197184,
area: 0.0004
},
...
]
```
| Field | Example | Type | Description |
| ---------- | ------- | ------- | --------------------------------------------------------- |
| hex | #858409 | String | color in hexadecimal string |
| red | 133 | Integer | red canal from 0 to 255 |
| green | 132 | Integer | green canal from 0 to 255 |
| blue | 9 | Integer | blue canal from 0 to 255 |
| hue | 0.1653 | Number | color tone from 0 to 1 |
| intensity | 0.4862 | Number | color intensity from 0 to 1 |
| lightness | 0.2784 | Number | color lightness from 0 to 1 |
| saturation | 0.8732 | Number | color saturation from 0 to 1 |
| area | 0.0004 | Number | area of the color and his neighbouring colors from 0 to 1 |
## License
[MIT](https://opensource.org/licenses/MIT)
Copyright (c) 2025-present, Damien Doussaud