7:[["$","script",null,{"type":"application/ld+json","dangerouslySetInnerHTML":{"__html":"{\"@context\":\"https://schema.org\",\"@type\":\"TechArticle\",\"headline\":\"Core Concepts: Lossy vs. Lossless\",\"description\":\"All optimization methods are divided into two types: Lossless: These methods only remove redundant data... Examples: SplineOptimizationNode , CleanupNode . Loss\",\"url\":\"https://www.re-polish.com/wiki/core-concepts\",\"inLanguage\":\"en\",\"image\":\"https://www.re-polish.com/og-image.jpg\",\"author\":{\"@type\":\"Organization\",\"name\":\"re-polish\",\"url\":\"https://www.re-polish.com\"},\"publisher\":{\"@type\":\"Organization\",\"name\":\"re-polish\",\"url\":\"https://www.re-polish.com\"},\"mainEntityOfPage\":{\"@type\":\"WebPage\",\"@id\":\"https://www.re-polish.com/wiki/core-concepts\"}}"}}],["$","script",null,{"type":"application/ld+json","dangerouslySetInnerHTML":{"__html":"{\"@context\":\"https://schema.org\",\"@type\":\"BreadcrumbList\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https://www.re-polish.com\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Wiki\",\"item\":\"https://www.re-polish.com/wiki\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Core Concepts: Lossy vs. Lossless\",\"item\":\"https://www.re-polish.com/wiki/core-concepts\"}]}"}}],["$","article",null,{"className":"container mx-auto px-4 py-8 max-w-4xl","children":[["$","header",null,{"className":"mb-8","children":[["$","nav",null,{"className":"text-sm text-gray-500 mb-4","aria-label":"Breadcrumb","children":["$","ol",null,{"className":"flex items-center gap-2","children":[["$","li",null,{"children":["$","a",null,{"href":"/","className":"hover:text-blue-400","children":"Home"}]}],["$","li",null,{"children":"/"}],["$","li",null,{"children":["$","a",null,{"href":"/wiki","className":"hover:text-blue-400","children":"Wiki"}]}],["$","li",null,{"children":"/"}],["$","li",null,{"className":"text-gray-400","children":"Core Concepts: Lossy vs. Lossless"}]]}]}],["$","h1",null,{"className":"text-4xl font-bold mb-4","children":"Core Concepts: Lossy vs. Lossless"}],["$","div",null,{"className":"flex gap-2 flex-wrap","children":[["$","span","concepts",{"className":"px-3 py-1 bg-blue-100 text-blue-800 rounded-full text-sm","children":"concepts"}],["$","span","lossy",{"className":"px-3 py-1 bg-blue-100 text-blue-800 rounded-full text-sm","children":"lossy"}],["$","span","lossless",{"className":"px-3 py-1 bg-blue-100 text-blue-800 rounded-full text-sm","children":"lossless"}],["$","span","beginner",{"className":"px-3 py-1 bg-blue-100 text-blue-800 rounded-full text-sm","children":"beginner"}]]}]]}],["$","div",null,{"className":"wiki-article-content break-words text-gray-300","dangerouslySetInnerHTML":{"__html":"

All optimization methods are divided into two types:

Lossless: These methods only remove redundant data...
Examples: SplineOptimizationNode, CleanupNode.
Lossy: These methods simplify animation curves...
Examples: RDPOptimizationNode, QuantizerNode.

Recommendation: Always start with Lossless optimizations. Use Lossy methods only when further file size reduction is required, and always check the result visually.

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