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2v5a1 1 0 0 0 1 1h5M10 9H8m8 4H8m8 4H8\"\u002F>\u003C\u002Fg>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":33},"\u003Cg fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\">\u003Cpath d=\"M21 8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l7-4A2 2 0 0 0 21 16Z\"\u002F>\u003Cpath d=\"m3.3 7l8.7 5l8.7-5M12 22V12\"\u002F>\u003C\u002Fg>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":27},{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":36},"\u003Cg fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\">\u003Crect width=\"18\" height=\"18\" x=\"3\" y=\"3\" rx=\"2\" ry=\"2\"\u002F>\u003Ccircle cx=\"9\" cy=\"9\" r=\"2\"\u002F>\u003Cpath d=\"m21 15l-3.086-3.086a2 2 0 0 0-2.828 0L6 21\"\u002F>\u003C\u002Fg>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":38},"\u003Cg fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\">\u003Crect width=\"18\" height=\"18\" x=\"3\" y=\"3\" rx=\"2\"\u002F>\u003Cpath d=\"M16 8.9V7H8l4 5l-4 5h8v-1.9\"\u002F>\u003C\u002Fg>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":40},"\u003Cpath fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\" d=\"M6 11h4M8 9v4m7-1h.01M18 10h.01m-.69-5H6.68a4 4 0 0 0-3.978 3.59l-.017.152C2.604 9.416 2 14.456 2 16a3 3 0 0 0 3 3c1 0 1.5-.5 2-1l1.414-1.414A2 2 0 0 1 9.828 16h4.344a2 2 0 0 1 1.414.586L17 18c.5.5 1 1 2 1a3 3 0 0 0 3-3c0-1.545-.604-6.584-.685-7.258q-.01-.075-.017-.151A4 4 0 0 0 17.32 5\"\u002F>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":42},"\u003Cg fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\">\u003Cpath d=\"M11.017 2.814a1 1 0 0 1 1.966 0l1.051 5.558a2 2 0 0 0 1.594 1.594l5.558 1.051a1 1 0 0 1 0 1.966l-5.558 1.051a2 2 0 0 0-1.594 1.594l-1.051 5.558a1 1 0 0 1-1.966 0l-1.051-5.558a2 2 0 0 0-1.594-1.594l-5.558-1.051a1 1 0 0 1 0-1.966l5.558-1.051a2 2 0 0 0 1.594-1.594zM20 2v4m2-2h-4\"\u002F>\u003Ccircle cx=\"4\" cy=\"20\" r=\"2\"\u002F>\u003C\u002Fg>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":44},"\u003Cg fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\">\u003Cpath d=\"M21.42 10.922a1 1 0 0 0-.019-1.838L12.83 5.18a2 2 0 0 0-1.66 0L2.6 9.08a1 1 0 0 0 0 1.832l8.57 3.908a2 2 0 0 0 1.66 0zM22 10v6\"\u002F>\u003Cpath d=\"M6 12.5V16a6 3 0 0 0 12 0v-3.5\"\u002F>\u003C\u002Fg>","\u003Cblockquote>\n\u003Cp>Same image: 2 MB as PNG, 200 KB as JPG, maybe under 150 KB as WebP. Where does the gap come from? The question isn't "which format is best" but \u003Cstrong>what your image contains and who will use it\u003C\u002Fstrong>. Understand what compression removes and you can choose without guessing.\u003C\u002Fp>\n\u003C\u002Fblockquote>\n\u003Cp>\u003Cimg src=\"\u002Fblog\u002Fimage-format-compression-choice\u002Fcover.webp\" alt=\"Same image, different formats, different sizes\">\u003C\u002Fp>\n\u003Ch2>Two Kinds of Compression: Lossy and Lossless\u003C\u002Fh2>\n\u003Cp>The main split: \u003Cstrong>lossy\u003C\u002Fstrong> vs. \u003Cstrong>lossless\u003C\u002Fstrong>—different tradeoffs.\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>Lossless\u003C\u002Fstrong>: pixel-perfect restore. Encodes patterns (run-length, dictionaries)—great for \u003Cstrong>large flat color areas\u003C\u002Fstrong>. PNG, WebP lossless, GIF.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Lossy\u003C\u002Fstrong>: drops information the eye barely notices for smaller size—can't fully restore. JPG, WebP lossy, AVIF.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>Core idea: \u003Cstrong>lossless suits pattern-heavy images (screenshots, icons, solids); lossy suits smooth color (photos, gradients).\u003C\u002Fstrong> First cut: which category is your image?\u003C\u002Fp>\n\u003Ch2>Why Is Lossy So Effective on Photos?\u003C\u002Fh2>\n\u003Cp>Photo color changes \u003Cstrong>smoothly and continuously\u003C\u002Fstrong>; the eye is insensitive to tiny luminance\u002Fcolor shifts. JPG splits the image into 8×8 blocks, DCT transforms each, then \u003Cstrong>quantizes high frequencies the eye won't miss\u003C\u002Fstrong>—discarded detail you wouldn't notice anyway, so size drops with little visible change.\u003C\u002Fp>\n\u003Cp>That logic fails on \u003Cstrong>text, lines, solid edges\u003C\u002Fstrong>—high-frequency jumps (black on white). Quantization causes ringing and blocks—the "dirty edges" around letters. Common pitfall: \u003Cstrong>text screenshots as JPG look muddy; PNG stays clean and isn't always larger.\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Ch2>Transparency, Animation, and Other Capabilities\u003C\u002Fh2>\n\u003Cp>Beyond compression, formats differ in features—often hard constraints:\u003C\u002Fp>\n\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>Capability\u003C\u002Fth>\n\u003Cth>JPG\u003C\u002Fth>\n\u003Cth>PNG\u003C\u002Fth>\n\u003Cth>WebP\u003C\u002Fth>\n\u003Cth>AVIF\u003C\u002Fth>\n\u003Cth>GIF\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>Lossy\u003C\u002Ftd>\n\u003Ctd>✓\u003C\u002Ftd>\n\u003Ctd>✗\u003C\u002Ftd>\n\u003Ctd>✓\u003C\u002Ftd>\n\u003Ctd>✓\u003C\u002Ftd>\n\u003Ctd>✗\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Lossless\u003C\u002Ftd>\n\u003Ctd>✗\u003C\u002Ftd>\n\u003Ctd>✓\u003C\u002Ftd>\n\u003Ctd>✓\u003C\u002Ftd>\n\u003Ctd>✓\u003C\u002Ftd>\n\u003Ctd>✓ (256 colors)\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Alpha\u003C\u002Ftd>\n\u003Ctd>✗\u003C\u002Ftd>\n\u003Ctd>✓\u003C\u002Ftd>\n\u003Ctd>✓\u003C\u002Ftd>\n\u003Ctd>✓\u003C\u002Ftd>\n\u003Ctd>✓ (1-bit)\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Animation\u003C\u002Ftd>\n\u003Ctd>✗\u003C\u002Ftd>\n\u003Ctd>✗\u003C\u002Ftd>\n\u003Ctd>✓\u003C\u002Ftd>\n\u003Ctd>✓\u003C\u002Ftd>\n\u003Ctd>✓\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Compatibility\u003C\u002Ftd>\n\u003Ctd>Very wide\u003C\u002Ftd>\n\u003Ctd>Very wide\u003C\u002Ftd>\n\u003Ctd>Good\u003C\u002Ftd>\n\u003Ctd>Moderate\u003C\u002Ftd>\n\u003Ctd>Very wide\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\n\u003Cp>Direct conclusions: \u003Cstrong>need transparency → not JPG\u003C\u002Fstrong> (no alpha); animated content—WebP\u002FAVIF beat GIF on size\u002Fquality; max compatibility (old devices, any app)—JPG\u002FPNG remain safest.\u003C\u002Fp>\n\u003Ch2>How Much Better Are WebP and AVIF?\u003C\u002Fh2>\n\u003Cp>"Next-gen" formats: \u003Cstrong>smaller at same quality, lossy\u002Flossless\u002Ftransparency\u002Fanimation in one package.\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>WebP\u003C\u002Fstrong>: ~25%–35% smaller than JPG at similar quality; lossless often beats PNG too. Browser support is solid—reasonable default for web.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>AVIF\u003C\u002Fstrong>: higher compression, especially at low bitrate. Cost: \u003Cstrong>slower encode, weaker legacy compatibility, slightly higher decode cost.\u003C\u002Fstrong>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>Tradeoff: newer = slower encode, may not open everywhere. Web can adopt WebP; files for others stay compatibility-first.\u003C\u002Fp>\n\u003Ch2>Decision Table\u003C\u002Fh2>\n\u003Cp>Align content type and use:\u003C\u002Fp>\n\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>Your image\u003C\u002Fth>\n\u003Cth>Use\u003C\u002Fth>\n\u003Cth>Recommended format\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>Photo, gradient, rich color\u003C\u002Ftd>\n\u003Ctd>Web\u003C\u002Ftd>\n\u003Ctd>WebP (JPG fallback)\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Photo\u003C\u002Ftd>\n\u003Ctd>File share \u002F max compatibility\u003C\u002Ftd>\n\u003Ctd>JPG\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Screenshot, text, UI, lines\u003C\u002Ftd>\n\u003Ctd>Any\u003C\u002Ftd>\n\u003Ctd>PNG or WebP lossless\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Needs transparency\u003C\u002Ftd>\n\u003Ctd>Any\u003C\u002Ftd>\n\u003Ctd>PNG \u002F WebP \u002F AVIF\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Icon, logo (if vector available)\u003C\u002Ftd>\n\u003Ctd>Web\u003C\u002Ftd>\n\u003Ctd>SVG (not bitmap—sharp at any size)\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Animation\u003C\u002Ftd>\n\u003Ctd>Web\u003C\u002Ftd>\n\u003Ctd>WebP\u002FAVIF; GIF for compatibility\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Extreme size, controlled environment\u003C\u002Ftd>\n\u003Ctd>Web\u003C\u002Ftd>\n\u003Ctd>AVIF\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\n\u003Cp>Often missed: \u003Cstrong>if you have SVG for icons\u002Flogos, don't rasterize\u003C\u002Fstrong>—math curves, sharp at any scale, tiny size—not part of the JPG\u002FPNG bitmap discussion.\u003C\u002Fp>\n\u003Ch2>Workflow: Compress First or Convert First?\u003C\u002Fh2>\n\u003Cp>After picking format:\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>Same format, smaller\u003C\u002Fstrong>: \u003Ca href=\"\u002Fimages\u002Fcompress\u002F\">image compression tool\u003C\u002Fa>—tune level for size vs. quality; photos can go aggressive, text conservative.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Change format\u003C\u002Fstrong>: batch PNG → WebP for site speed, or WebP → JPG for unsupported devices. \u003Ca href=\"\u002Fimages\u002FimageFormatConvert\u002F\">Image format conversion\u003C\u002Fa> with quality settings.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>Usually \u003Cstrong>pick format by content, then compress within that format\u003C\u002Fstrong>; compress then convert risks double degradation. Both tools run locally in the browser—images aren't uploaded.\u003C\u002Fp>\n\u003Ch2>Summary\u003C\u002Fh2>\n\u003Cp>Split lossy vs. lossless: lossless for screenshots\u002Ficons\u002Fsolids, lossy for photos\u002Fgradients. JPG quantizes photos well but dirty-edges text—screenshots need PNG. Transparency and animation are capability gaps—no alpha in JPG. WebP is smaller with broad features—solid web default; AVIF smaller but slower\u002Fweaker compatibility; JPG\u002FPNG for file sharing; SVG for vector icons. Use the content+use table, then \u003Ca href=\"\u002Fimages\u002Fcompress\u002F\">compress\u003C\u002Fa> or \u003Ca href=\"\u002Fimages\u002FimageFormatConvert\u002F\">convert format\u003C\u002Fa>.\u003C\u002Fp>\n",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":47},"\u003Cg fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\">\u003Cpath d=\"M12 3v18m7-13l3 8a5 5 0 0 1-6 0zV7\"\u002F>\u003Cpath d=\"M3 7h1a17 17 0 0 0 8-2a17 17 0 0 0 8 2h1M5 8l3 8a5 5 0 0 1-6 0zV7m2 14h10\"\u002F>\u003C\u002Fg>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":49},"\u003Cpath fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\" d=\"m16 18l6-6l-6-6M8 6l-6 6l6 6\"\u002F>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":51},"\u003Cg fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\">\u003Cpath d=\"M10.3 21H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2v10l-3.1-3.1a2 2 0 0 0-2.814.014L6 21\"\u002F>\u003Cpath d=\"m14 19l3 3v-5.5m0 5.5l3-3\"\u002F>\u003Ccircle cx=\"9\" cy=\"9\" r=\"2\"\u002F>\u003C\u002Fg>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":53},"\u003Cg fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\">\u003Cpath d=\"M14 4a1 1 0 0 1 1-1m0 7a1 1 0 0 1-1-1m7-5a1 1 0 0 0-1-1m1 6a1 1 0 0 1-1 1M3 7l3 3l3-3\"\u002F>\u003Cpath d=\"M6 10V5a2 2 0 0 1 2-2h2\"\u002F>\u003Crect width=\"7\" height=\"7\" x=\"3\" y=\"14\" rx=\"1\"\u002F>\u003C\u002Fg>",1782539672818]