{"id":1603,"date":"2026-09-19T09:13:00","date_gmt":"2026-09-19T13:13:00","guid":{"rendered":"https:\/\/www.xconvert.com\/blog\/?p=1603"},"modified":"2026-07-16T23:44:10","modified_gmt":"2026-07-17T03:44:10","slug":"how-much-compression-actually-saves","status":"publish","type":"post","link":"https:\/\/www.xconvert.com\/blog\/how-much-compression-actually-saves","title":{"rendered":"How Much Does Compression Actually Save? Real Data by Format"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Run a screenshot through a compressor and it drops 67%. Run an iPhone photo through the same tool and it barely moves \u2014 25%. Same software, wildly different results, and neither number means the tool did a good or bad job. It means your two files started in very different shape. We pulled the real medians from <strong>more than 150,000 compression jobs<\/strong> on xconvert over a 30-day window (mid-June to mid-July 2026) and lined every format up, biggest shrinker to smallest. The production numbers below are ours; the format science that explains them is cited to MDN, Google, and the WAV\/HEIF specs.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Quick answer:<\/strong> Across 150,000+ real jobs, the typical (median) size cut ranges from <strong>~85% for TIFF scans<\/strong> down to <strong>~25% for iPhone HEIC photos<\/strong>, with most everyday formats landing between <strong>45% and 70%<\/strong>. The pattern is simple: <strong>uncompressed or wasteful formats (TIFF, BMP, PNG, image-heavy PDFs) shrink the most; already-efficient modern formats (HEIC, WebP, MP4) shrink the least<\/strong>, because their compression is already done. A big percentage isn\u2019t proof of a better tool \u2014 it\u2019s proof your original had a lot of slack. SVG barely compresses at all, because it\u2019s vector text, not a bitmap.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Jump to a section<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"#data\">The real numbers: median shrink by format<\/a><\/li><li><a href=\"#why\">Why some formats shrink 85% and others barely 25%<\/a><\/li><li><a href=\"#truth\">The counterintuitive truth: a big shrink means a wasteful original<\/a><\/li><li><a href=\"#expect\">What to expect for your file<\/a><\/li><li><a href=\"#tool\">How to compress your files on xconvert<\/a><\/li><li><a href=\"#faq\">FAQ<\/a><\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"data\">The real numbers: median shrink by format<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">This is the table competitors\u2019 blogs can\u2019t publish, because they don\u2019t run the converter. Each row is the <strong>median<\/strong> size cut across successful jobs for that format, ranked from the biggest shrinker to the smallest.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>Format<\/th><th>Median size cut<\/th><th>Jobs measured<\/th><th>Why it shrinks this much<\/th><\/tr><\/thead><tbody><tr><td><strong>EPS<\/strong><\/td><td>~88%<\/td><td>754<\/td><td>PostScript + embedded bitmap preview<\/td><\/tr><tr><td><strong>TIFF<\/strong><\/td><td>~85%<\/td><td>10,187<\/td><td>Usually stored uncompressed<\/td><\/tr><tr><td><strong>JPEG<\/strong><\/td><td>~78%<\/td><td>6,807<\/td><td>Saved at near-max quality (big headroom)<\/td><\/tr><tr><td><strong>PDF<\/strong><\/td><td>~72%<\/td><td>1,382<\/td><td>Full-resolution embedded images \/ scans<\/td><\/tr><tr><td><strong>PNG<\/strong><\/td><td>~67%<\/td><td>5,982<\/td><td>Lossless \u2014 never discards detail<\/td><\/tr><tr><td><strong>GIF<\/strong><\/td><td>~58%<\/td><td>26,210<\/td><td>256-color LZW; inefficient for photos<\/td><\/tr><tr><td><strong>BMP<\/strong><\/td><td>~57%<\/td><td>368<\/td><td>Uncompressed raster<\/td><\/tr><tr><td><strong>WebP<\/strong><\/td><td>~52%<\/td><td>6,066<\/td><td>Efficient, but often saved high-quality<\/td><\/tr><tr><td><strong>MP3<\/strong><\/td><td>~50%<\/td><td>13,867<\/td><td>Already lossy; often re-encoded from 320 kbps<\/td><\/tr><tr><td><strong>WAV<\/strong><\/td><td>~50%<\/td><td>6,515<\/td><td>Uncompressed PCM<\/td><\/tr><tr><td><strong>MP4 video<\/strong><\/td><td>~46%<\/td><td>18,838<\/td><td>Already compressed with an efficient codec<\/td><\/tr><tr><td><strong>Audio (all formats)<\/strong><\/td><td>~43%<\/td><td>23,780<\/td><td>Pool includes efficient AAC \/ Opus<\/td><\/tr><tr><td><strong>HEIC<\/strong><\/td><td>~25%<\/td><td>8,093<\/td><td>HEVC (H.265) \u2014 already highly efficient<\/td><\/tr><tr><td><strong>SVG<\/strong><\/td><td>~0%<\/td><td>177<\/td><td>Vector XML text, not a bitmap<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Across <strong>all<\/strong> video formats (via the general video compressor), the median cut is ~49% over 13,230 jobs.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>How we measured.<\/strong> These are <strong>medians<\/strong> \u2014 the typical result, not the best or worst \u2014 from successful jobs on xconvert\u2019s format-specific and general compressors over a 30-day sample (mid-June to mid-July 2026), more than 150,000 jobs in total. \u201cSize cut\u201d is <code>1 \u2212 (output size \u00f7 input size)<\/code>. The table breaks out the highest-volume formats; a handful of lower-volume formats roll into the general tools and aren\u2019t listed separately. <strong>Your result will vary<\/strong> \u2014 sometimes a lot \u2014 with the source file, its original quality, and the settings you choose. Treat these as expectations, not guarantees.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"why\">Why some formats shrink 85% and others barely 25%<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The spread isn\u2019t random. It tracks one thing: <strong>how much redundancy was still sitting in the file when you uploaded it.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Uncompressed and lossless formats have the most to give (TIFF, BMP, PNG, WAV).<\/strong> MDN\u2019s image guide is blunt about it \u2014 <strong>\u201cMost TIFF files are uncompressed,\u201d<\/strong> and a BMP is an <em>\u201cuncompressed raster image, resulting in large file sizes compared to png or jpg.\u201d<\/em> A 24-megapixel scan saved as uncompressed TIFF is enormous and almost entirely redundant, so real compression carves off ~85% (our biggest high-volume result, across 10,000+ jobs). PNG is different: it <em>does<\/em> compress, but <strong>losslessly<\/strong> \u2014 it never discards a single pixel of detail even when your eye couldn\u2019t tell \u2014 so converting a screenshot or logo to a lossy format, or simply re-optimizing it, typically drops ~67%. Audio has the same story: a WAV stores <strong>uncompressed linear PCM that \u201cretains all of the samples,\u201d<\/strong> which is exactly why <em>\u201cuncompressed WAV files are large.\u201d<\/em> (EPS edges TIFF at ~88%, but on a far smaller sample of 754 jobs, and for its own reason: an EPS often wraps a high-resolution bitmap preview around its PostScript, and that preview is where the bloat lives.)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Already-efficient modern formats have the least (HEIC, WebP, MP4).<\/strong> At the other end, HEIC barely budges \u2014 a <strong>~25% median, the smallest in our data, and that\u2019s exactly what should happen.<\/strong> HEIC stores images with <strong>HEVC (H.265) compression<\/strong>, the same modern codec used for video, and is already <strong>up to 50% smaller than JPEG at the same quality<\/strong>. Your iPhone did the hard compression the moment it saved the photo; there\u2019s little redundancy left to remove. WebP is similar \u2014 Google\u2019s own study puts lossy WebP <strong>25\u201334% smaller than JPEG<\/strong>, and lossless WebP <strong>~26% smaller than PNG<\/strong> \u2014 so it starts efficient and only gives back ~52%. MP4 video (~46%) follows the same codec logic: it\u2019s already compressed with an efficient video codec, so re-encoding reclaims roughly half, not 85%.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Lossy formats saved with headroom shrink more than you\u2019d expect (JPEG, MP3, PDF).<\/strong> Here\u2019s the surprise in our data: <strong>JPEG \u2014 a lossy format that\u2019s supposedly \u201calready compressed\u201d \u2014 still shrinks ~78%.<\/strong> The reason isn\u2019t the format; it\u2019s how people save it. Phones and editors routinely export JPEGs at near-maximum quality, which leaves enormous headroom, so re-encoding at a sensible quality removes most of it with little visible change. MP3 tells the same story (~50%): a track ripped at 320 kbps has plenty to give when re-encoded to a still-good bitrate. And PDFs (~72%) are often stuffed with full-resolution images \u2014 especially <strong>scanned<\/strong> PDFs, where every page is a photo \u2014 so downsampling those images does the heavy lifting. If a scanned PDF is bafflingly large, <a href=\"https:\/\/www.xconvert.com\/blog\/why-is-my-scanned-pdf-so-big\">why your scanned PDF is so big<\/a> breaks down the mechanics. And if you\u2019re weighing which image format to keep, our <a href=\"https:\/\/www.xconvert.com\/blog\/png-vs-webp-vs-jpg\">PNG vs WebP vs JPG comparison<\/a> covers the quality trade-offs behind these numbers.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Vector files don\u2019t compress like images at all (SVG).<\/strong> SVG is the outlier that proves the rule: <strong>~0% shrink.<\/strong> An SVG isn\u2019t a grid of pixels \u2014 it\u2019s an <strong>XML-based vector format,<\/strong> <em>\u201ctext files containing source code\u201d<\/em> that describe shapes and lines. A raster image compressor has nothing to squeeze. To make an SVG smaller you <em>minify<\/em> the code or gzip it in transit, not run it through an image compressor.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"truth\">The counterintuitive truth: a big shrink means a wasteful original<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">It\u2019s tempting to read the table as a leaderboard \u2014 TIFF 85%, HEIC 25%, so the tool must \u201cwork better\u201d on TIFF. It doesn\u2019t. <strong>The percentage is a verdict on your original file, not the compressor.<\/strong> A huge cut means the source was carrying a lot of waste: uncompressed pixels, over-provisioned quality, redundant scan data. A small cut means the format already did its job before the file ever reached us.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">So two honest takeaways. First, don\u2019t judge a compressor by its headline percentage \u2014 judge it by whether it hits the size you need at a quality you accept. Second, <strong>if your HEIC or WebP file barely shrinks, you weren\u2019t cheated \u2014 that\u2019s the format working as designed.<\/strong> The real wins are hiding in scans, screenshots, and raw exports, not in files a modern codec already squeezed.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"expect\">What to expect for your file<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Scans, faxes, and photo-heavy PDFs<\/strong> \u2014 your biggest wins, commonly 70\u201385% off. A giant scanned PDF isn\u2019t a bug; it\u2019s raw page images.<\/li><li><strong>Screenshots, logos, and graphics (PNG)<\/strong> \u2014 big cuts (~67%), especially if you don\u2019t truly need lossless.<\/li><li><strong>Camera photos saved as JPEG<\/strong> \u2014 ~78% is normal when the original was high-quality, and the quality stays close.<\/li><li><strong>iPhone photos (HEIC)<\/strong> \u2014 expect only ~25%. To go smaller, reduce the pixel dimensions rather than pushing quality lower.<\/li><li><strong>Animated GIFs<\/strong> \u2014 around ~58%, but converting to MP4 shrinks them far more; GIF\u2019s 256-color format is inefficient for anything photographic or moving.<\/li><li><strong>Music (MP3) and voice memos<\/strong> \u2014 ~50% if they started at a high bitrate. A raw WAV has even more room, but <em>converting<\/em> it to MP3 or AAC saves far more than keeping it as WAV.<\/li><li><strong>Video (MP4)<\/strong> \u2014 ~46\u201349%; the codec and target bitrate matter more than the tool.<\/li><li><strong>Web images (WebP)<\/strong> \u2014 modest (~52%); they\u2019re efficient to begin with.<\/li><li><strong>SVG<\/strong> \u2014 don\u2019t bother running it through an image compressor; minify the code instead.<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"tool\">How to compress your files on xconvert<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Whatever you\u2019re shrinking, the flow is the same: upload, choose how you want to control the size, download.<\/p>\n\n\n\n<ol class=\"wp-block-list\"><li><strong>Open the right compressor.<\/strong> Use the <a href=\"https:\/\/www.xconvert.com\/image-compressor\">image compressor<\/a> for JPG, PNG, HEIC, WebP, TIFF, BMP, GIF, and EPS; the <a href=\"https:\/\/www.xconvert.com\/video-compressor\">video compressor<\/a> for MP4 and other video; or the <a href=\"https:\/\/www.xconvert.com\/audio-compressor\">audio compressor<\/a> for MP3, WAV, and other audio.<\/li><li><strong>Add your file.<\/strong> Click <strong>Upload<\/strong> (on the video compressor the button reads <strong>+ Add Files<\/strong>) to bring it in from your computer, Google Drive, or Dropbox.<\/li><li><strong>Open Advanced Options<\/strong> (the gear icon) to control how much it shrinks.<\/li><li><strong>Pick how to hit your target.<\/strong> Leave it on <strong>Target file size (%)<\/strong> (marked \u201cBest\u201d) to let the tool balance size and quality, choose <strong>Specific file size<\/strong> to hit an exact number of MB, or set <strong>Image Quality (%)<\/strong> (images), a <strong>Custom Bitrate<\/strong> or <strong>Variable Bitrate<\/strong> (audio), or <strong>Constant Quality<\/strong> (video) yourself.<\/li><li><strong>Compress and download.<\/strong> Click <strong>Compress<\/strong> and save the result.<\/li><\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">Every file you upload is processed on our servers and deleted automatically a few hours later \u2014 nothing is kept.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"faq\">FAQ<\/h2>\n\n\n\n<h5 class=\"wp-block-heading\">How much smaller can I actually make my file?<\/h5>\n\n\n\n<p class=\"wp-block-paragraph\">It depends heavily on the format and how the original was saved. Across 150,000+ jobs the <strong>median cut ran from ~85% (TIFF) to ~25% (HEIC)<\/strong>, with most everyday files landing <strong>between 45% and 70%<\/strong>. These are medians \u2014 your file could do better or worse. To guarantee a size, use <strong>Specific file size<\/strong> and enter the exact MB you need.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">Why did my iPhone (HEIC) photo barely shrink?<\/h5>\n\n\n\n<p class=\"wp-block-paragraph\">Because HEIC is <strong>already one of the most efficient image formats there is<\/strong> \u2014 it uses HEVC (H.265) compression and is up to ~50% smaller than JPEG straight out of the camera. Our median HEIC cut is only <strong>~25%<\/strong>, and that\u2019s expected: your phone already removed most of the redundancy. To shrink it further, <strong>reduce the pixel dimensions<\/strong> rather than pushing quality lower.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">Why does a JPEG shrink so much if it\u2019s already compressed?<\/h5>\n\n\n\n<p class=\"wp-block-paragraph\">Because most JPEGs are <strong>saved at near-maximum quality<\/strong>, which leaves a lot of headroom. Re-encoding at a sensible quality reclaimed a <strong>~78% median<\/strong> in our data with little visible change. The big percentage reflects a wastefully high-quality original, not a magic tool.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">Which formats compress the most?<\/h5>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Uncompressed and lossless ones.<\/strong> TIFF scans top the reliable list at a <strong>~85% median<\/strong>, followed by JPEGs saved at high quality (~78%), image-heavy PDFs (~72%), and PNG graphics (~67%). These formats either store raw pixels or never discard detail, so there\u2019s the most to remove.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">Does a bigger compression percentage mean a better tool?<\/h5>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>No.<\/strong> A larger cut means your <em>original<\/em> was less efficient \u2014 uncompressed pixels, over-high quality, or redundant scan data. A small cut (like HEIC\u2019s ~25%) means the format already did the work. Judge a compressor by whether it hits your target size at an acceptable quality, not by the headline percentage.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">Why won\u2019t my SVG compress?<\/h5>\n\n\n\n<p class=\"wp-block-paragraph\">An SVG is <strong>vector code, not a bitmap<\/strong> \u2014 an XML text file describing shapes \u2014 so a raster image compressor has nothing to squeeze (our median was ~0%). To make an SVG smaller, <strong>minify the code<\/strong> or serve it gzipped, rather than running it through an image compressor.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">Are these numbers guaranteed for my file?<\/h5>\n\n\n\n<p class=\"wp-block-paragraph\">No \u2014 they\u2019re <strong>medians over a 30-day, 150,000+ job sample<\/strong>, and individual results vary widely with the source file and the settings. Use them to set expectations. When you need a specific size, the <strong>Specific file size<\/strong> option lets you set the exact target directly.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Sources<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Last verified 2026-07-16.<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Production figures:<\/strong> xconvert production data, 30-day sample (mid-June to mid-July 2026) \u2014 medians of output size \u00f7 input size across 150,000+ successful compression jobs. Individual results vary with the source file.<\/li><li><a href=\"https:\/\/developer.mozilla.org\/en-US\/docs\/Web\/Media\/Guides\/Formats\/Image_types\">MDN \u2014 Image file type and format guide<\/a> \u2014 \u201cMost TIFF files are uncompressed\u201d; BMP is an \u201cuncompressed raster image, resulting in large file sizes\u201d; PNG uses lossless compression; GIF uses LZW on an 8-bit (max 256-color) palette; lossless WebP is \u201ctypically 26% smaller than the same images in PNG\u201d; JPEG is lossy (DCT); SVG is an XML vector format of \u201ctext files containing source code.\u201d<\/li><li><a href=\"https:\/\/developers.google.com\/speed\/webp\/docs\/webp_study\">Google for Developers \u2014 WebP Compression Study<\/a> \u2014 lossy WebP is 25\u201334% smaller than JPEG at the same SSIM (file-size ratios 0.66\u20130.75).<\/li><li><a href=\"https:\/\/en.wikipedia.org\/wiki\/WAV\">Wikipedia \u2014 WAV<\/a> \u2014 the common WAV form is uncompressed LPCM that \u201cretains all of the samples\u201d; \u201cuncompressed WAV files are large\u201d (cites the Microsoft\/IBM RIFF spec).<\/li><li><a href=\"https:\/\/cloudinary.com\/guides\/image-formats\/jpeg-vs-heic\">Cloudinary \u2014 JPEG vs HEIC<\/a> \u2014 HEIC is \u201cpart of the High Efficiency Video Compression (HEVC) standard\u201d and \u201ctypically up to 50% smaller than JPEGs at the same quality level.\u201d<\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>We measured 150,000+ compression jobs: how much each format really shrinks, from TIFF (85%) to HEIC (25%), and why results vary so widely.<\/p>\n","protected":false},"author":3,"featured_media":1602,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5,14],"tags":[],"class_list":["post-1603","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-how-to-guides","category-tools"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>How Much Does Compression Actually Save? Real Data by Format<\/title>\n<meta name=\"description\" content=\"We measured 150,000+ compression jobs: how much each format really shrinks, from TIFF (85%) to HEIC (25%), and why results vary so widely.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.xconvert.com\/blog\/how-much-compression-actually-saves\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How Much Does Compression Actually Save? Real Data by Format\" \/>\n<meta property=\"og:description\" content=\"We measured 150,000+ compression jobs: how much each format really shrinks, from TIFF (85%) to HEIC (25%), and why results vary so widely.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.xconvert.com\/blog\/how-much-compression-actually-saves\" \/>\n<meta property=\"og:site_name\" content=\"XConvert Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/xconvertcom\" \/>\n<meta property=\"article:published_time\" content=\"2026-09-19T13:13:00+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.xconvert.com\/blog\/wp-content\/uploads\/2026\/07\/featured-64.png\" \/>\n\t<meta property=\"og:image:width\" content=\"2400\" \/>\n\t<meta property=\"og:image:height\" content=\"1260\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"James\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@xconvert_com\" \/>\n<meta name=\"twitter:site\" content=\"@xconvert_com\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"James\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"10 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.xconvert.com\\\/blog\\\/how-much-compression-actually-saves#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.xconvert.com\\\/blog\\\/how-much-compression-actually-saves\"},\"author\":{\"name\":\"James\",\"@id\":\"https:\\\/\\\/www.xconvert.com\\\/blog\\\/#\\\/schema\\\/person\\\/3434db135e6a7f239ba8414244df9845\"},\"headline\":\"How Much Does Compression Actually Save? 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