name: color-palette-extractor description: Extract dominant colors from images, generate color palettes, and export as CSS, JSON, or ASE with K-means clustering.

Color Palette Extractor

Extract dominant colors from images and generate color palettes with multiple export formats.

Features

• Dominant Colors: Extract N most dominant colors using K-means
• Color Schemes: Generate complementary, analogous, triadic schemes
• Multiple Formats: Export as CSS, JSON, ASE (Adobe Swatch), ACO (Photoshop)
• Color Analysis: RGB, HEX, HSL, HSV values
• Visualization: Palette swatches, color distribution charts
• Batch Processing: Extract palettes from multiple images
• Similarity Matching: Find similar colors across palettes

Quick Start

from color_palette_extractor import ColorPaletteExtractor

extractor = ColorPaletteExtractor()

# Extract colors
extractor.load('image.jpg')
palette = extractor.extract_colors(n_colors=5)

# Export
extractor.export_css('palette.css')
extractor.export_json('palette.json')
extractor.save_swatch('swatch.png')

CLI Usage

# Extract 5 colors
python color_palette_extractor.py --input image.jpg --colors 5 --output palette.json

# With CSS export
python color_palette_extractor.py --input image.jpg --colors 8 --css palette.css --swatch swatch.png

# Batch mode
python color_palette_extractor.py --batch images/ --colors 5 --output palettes/

Dependencies

• pillow>=10.0.0
• scikit-learn>=1.3.0
• numpy>=1.24.0
• matplotlib>=3.7.0