색상 팔레트 추출기
모든 이미지에서 지배적인 색상 팔레트를 추출합니다.
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About 색상 팔레트 추출기
OptiPix Color Palette Extractor analyzes your images to identify and extract the dominant colors, creating beautiful, usable color palettes for design work. The tool uses K-means clustering, a machine learning algorithm, to group similar pixel colors and find the most representative colors in the image. You can choose to extract between 3 and 10 colors to get the level of detail you need. Results are displayed as swatches with hex codes, RGB values, and HSL values for easy use in design tools. You can copy individual colors to your clipboard with a single click, export the palette as CSS custom properties (variables), or download it as a PNG palette strip. The tool is perfect for designers seeking color inspiration from photos, creating brand guidelines based on existing imagery, or ensuring consistent color usage across design projects. All processing happens locally using the Canvas API — no uploads, complete privacy.
How It Works
The tool downscales the image for performance, samples pixel colors, then runs K-means clustering to group similar colors and identify cluster centroids. These centroids represent the most dominant colors in the image, sorted by prevalence.
Use Cases
- •Extract color palettes from photos for design inspiration
- •Create brand color guidelines from existing imagery
- •Find complementary colors from nature photographs
- •Generate CSS color variables for web development
- •Analyze color composition of artwork and photography