Extract dominant colors and palettes from images in the browser and Node.js using JavaScript.
Color Thief is a JavaScript library that extracts dominant colors and color palettes from images. It analyzes image pixels to identify the most prominent colors, enabling developers to generate color schemes, create dynamic UI themes, or enhance visual design workflows. The library works in both browser and Node.js environments with a consistent API.
Frontend and full‑stack developers who need to programmatically extract colors from images for applications like theme generators, media galleries, or design tools.
Developers choose Color Thief for its cross‑platform support, rich color object API, live extraction capabilities, and zero dependencies, making it a lightweight yet powerful solution for color analysis.
Grab the color palette from an image using just Javascript. Works in the browser and in Node.
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Offers the same API in browsers and Node.js, as highlighted in the README's 'Browser + Node.js' feature, simplifying development for full-stack applications.
The observe() function watches video, canvas, or image elements and emits palette updates reactively, enabling real-time UI themes based on media content.
Color objects provide hex, RGB, HSL, OKLCH values, CSS strings, and WCAG contrast ratios, making it easy to integrate extracted colors into design systems.
Allows offloading processing to a worker thread with the worker option, keeping the main thread responsive for UI interactions, as noted in the features.
In Node.js, image decoding relies on the sharp library, which can introduce installation issues or compatibility problems in certain environments, as implied in the CLI notes.
Synchronous functions like getColorSync are only available in the browser, while async is required for Node.js, potentially causing confusion and inconsistent code patterns.
Focuses solely on color extraction without built-in support for other common image manipulations like resizing or filtering, which might require additional libraries.