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Update GitHub Pages with SEO meta tags and swatchme npm package section
- Add comprehensive SEO meta tags (description, keywords, Open Graph, Twitter Card)
- Add schema.org structured data for the npm package
- Add new "Browser-Only JS" section showcasing swatchme npm package
- Add npm package feature card in main features grid
- Update marquee to include npm package
<title>SWATCHIFY — EXTRACT COLORS FROM IMAGES</title>
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<title>Swatchify — Extract Dominant Colors from Images | Go CLI, REST API & JavaScript Library</title>
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<metaname="description" content="Extract dominant colors from images using k-means clustering. Available as a Go CLI tool, REST API server, Go library, and browser-only JavaScript npm package (swatchme). Open source, blazing fast, zero dependencies.">
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<metaname="keywords" content="color extraction, dominant colors, image palette, k-means clustering, color picker, go library, javascript library, npm package, swatchme, cli tool, rest api, image processing, color analysis">
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<metaname="author" content="James Campbell">
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<metaname="robots" content="index, follow">
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<!-- Open Graph -->
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<metaproperty="og:title" content="Swatchify — Extract Dominant Colors from Images">
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<metaproperty="og:description" content="Extract dominant colors from images using k-means clustering. CLI, REST API, Go library, and browser-only JavaScript npm package.">
<metaname="twitter:title" content="Swatchify — Extract Dominant Colors from Images">
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<metaname="twitter:description" content="Extract dominant colors from images using k-means clustering. CLI, REST API, Go library, and browser-only JavaScript npm package.">
<h3>NPM Install — Client-Side Color Extraction</h3>
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<code>npm install swatchme</code>
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<pstyle="margin-top: 1.5rem; line-height: 1.6;">
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<strong>swatchme</strong> is a zero-dependency JavaScript/TypeScript library for extracting dominant colors from images entirely in the browser. No server required. Uses the same k-means++ clustering algorithm as the Go version. ~2KB gzipped.
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