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	<title>file size &#8211; Gig City Geek</title>
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	<title>file size &#8211; Gig City Geek</title>
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		<title>Slash Subscription Costs: Open Source Alternatives</title>
		<link>https://gigcitygeek.com/2026/05/29/open-source-video-savings-handbrake/</link>
					<comments>https://gigcitygeek.com/2026/05/29/open-source-video-savings-handbrake/#respond</comments>
		
		<dc:creator><![CDATA[Laronski]]></dc:creator>
		<pubDate>Fri, 29 May 2026 13:00:00 +0000</pubDate>
				<category><![CDATA[Smarter Not Harder]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[file size]]></category>
		<category><![CDATA[H265]]></category>
		<category><![CDATA[HandBrake]]></category>
		<category><![CDATA[HEVC]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[savings]]></category>
		<category><![CDATA[software]]></category>
		<category><![CDATA[Storage]]></category>
		<category><![CDATA[video compression]]></category>
		<category><![CDATA[video transcoding]]></category>
		<guid isPermaLink="false">https://gigcitygeek.com/?p=3853</guid>

					<description><![CDATA[Feeling overwhelmed by subscription costs and video storage? Discover how free, open-source tools like HandBrake can save you money and reclaim your digital ...]]></description>
										<content:encoded><![CDATA[<p>We&#8217;ve all been there: staring at a credit card bill, wondering where all the money went. It feels like subscriptions and software costs are a constant drain, especially when you&#8217;re trying to juggle a million things. It’s a familiar feeling, isn&#8217;t it? But what if there was a way to trim those expenses without sacrificing functionality?</p>
<p>This weekend, it&#8217;s worth taking a peek at some <a href="https://en.wikipedia.org/wiki/Open&lt;em&gt;source" target="&lt;/em&gt;blank" rel="noopener noreferrer">open-source</a> alternatives that might just surprise you – and save you some serious cash.</p>
<p><h3>Drowning in Footage?</h3>
</p>
<p>My wife, bless her heart, doesn&#8217;t care about codecs or file sizes. She just wants the photos and videos to <em>work</em>. My son, on the other hand, would happily debate the merits of different GPU architectures while I&#8217;m trying to explain why we need more storage.</p>
<p>But the reality is, video files, especially those from travel, can quickly eat up space and money. <a href="https://handbrake.fr/" target="&lt;em&gt;blank" rel="noopener noreferrer">HandBrake</a> is a free, open-source video transcoder that can help. It converts video files between formats, rips DVDs and Blu-rays, or compresses footage into smaller file sizes. I travel from time to time, and after each trip, I’m usually sitting on a terabyte of raw footage.</p>
<p>Converting that footage from <a href="https://en.wikipedia.org/wiki/H.264" target="&lt;/em&gt;blank" rel="noopener noreferrer">H.264</a> to H.265 (HEVC) can reduce file sizes by around 75%, which is a huge deal when you’re paying for cloud storage. <em>It’s a surprisingly simple way to cut down on storage costs over time.</em></p>
<p><h3>The 4K Tax</h3>
</p>
<p>Wallpaper. It&#8217;s a small thing, but those high-resolution images can add up, especially if you’re like me and have a massive ultrawide monitor. Many websites lock those <a href="https://en.wikipedia.org/wiki/4K&lt;em&gt;resolution" target="&lt;/em&gt;blank" rel="noopener noreferrer">4K</a> versions behind a paywall, and it’s just frustrating. Enter Upscayl, a free, open-source AI image upscaler that runs offline. It uses local AI models to increase an image’s resolution, making low-resolution images look sharper and more detailed. You can technically upscale images by up to 16x, but 4x or lower is usually best.</p>
<p>It&#8217;s a great way to avoid paying for image upscaling tools and get decent results. <em>It&#8217;s a smarter way to get the resolution you want without breaking the bank.</em></p>
<p><h3>Beyond Chatbots: Automation</h3>
</p>
<p>Now, I know what you&#8217;re thinking: &#8220;Local AI models? Isn&#8217;t that just for tech nerds?&#8221; And yeah, most people try to use local LLMs as a direct replacement for ChatGPT and end up disappointed. But that&#8217;s missing the point entirely. Ollama lets you run AI language models locally, and its real power lies in automation. I used to spend $5-$10 a month on OpenAI API credits for simple tasks like turning voice notes into Obsidian notes, creating calendar events, and even renaming screenshots.</p>
<p>Now, I’ve offloaded all of that to a local model running through Ollama. It’s a game-changer for anyone who uses automation tools. <em>It&#8217;s a surprisingly effective way to reclaim control over your data and your budget.</em> These open-source apps aren&#8217;t just free; they&#8217;re a way to reclaim control over your digital life and your wallet.</p>
<p>Give them a shot this weekend – you might be surprised at what you find.</p>
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		<item>
		<title>Shrinking Your Media Library: The Robot Solution</title>
		<link>https://gigcitygeek.com/2026/05/01/automated-media-optimization-plex-docker/</link>
					<comments>https://gigcitygeek.com/2026/05/01/automated-media-optimization-plex-docker/#comments</comments>
		
		<dc:creator><![CDATA[Laronski]]></dc:creator>
		<pubDate>Fri, 01 May 2026 13:00:00 +0000</pubDate>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[automation]]></category>
		<category><![CDATA[backups]]></category>
		<category><![CDATA[docker]]></category>
		<category><![CDATA[ffmpeg]]></category>
		<category><![CDATA[file size]]></category>
		<category><![CDATA[library]]></category>
		<category><![CDATA[media optimization]]></category>
		<category><![CDATA[plex]]></category>
		<category><![CDATA[x264]]></category>
		<category><![CDATA[x265]]></category>
		<guid isPermaLink="false">https://gigcitygeek.com/?p=3738</guid>

					<description><![CDATA[Struggling with a bloated media library? Learn how automation can quietly reduce file sizes without sacrificing quality. A workflow scanning and optimizing f...]]></description>
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<p>Just last month I was sitting around, <a href="https://www.plex.tv/" target="_blank" rel="noopener noreferrer">Plex</a> on one monitor and <a href="https://www.docker.com/" target="_blank" rel="noopener noreferrer">Docker</a> stats on the other, wondering how a “big enough” array suddenly felt cramped. Every show looked fine, but backups dragged, the disks were noisy, and my wife had already shut down the “I’ll just buy another drive” idea. Underneath all the dashboards, the problem was boring: I was stockpiling bloated <a href="https://en.wikipedia.org/wiki/H.264" target="_blank" rel="noopener noreferrer">x264</a> files.</p>
<p>I was not interested in hand writing <a href="https://ffmpeg.org/" target="_blank" rel="noopener noreferrer">ffmpeg</a> commands at midnight or rebuilding my whole stack.</p>
<p>I just wanted something that would quietly make the files smaller without anyone in the house noticing a quality drop. There&#8217;s was in a post on Reddit; .</p>
<p>For us, that has been a clear net positive.</p>
<h4>Why I let a robot touch my files</h4>
<p>In my house, my son’s 4K anime habit and my wife’s favorite comfort shows are sacred. If a tool replaces those files, it cannot break playback, wreck subtitles, or trash the one iconic scene in each episode. The bar for <a href="https://en.wikipedia.org/wiki/Automation" target="_blank" rel="noopener noreferrer">automation</a> is very high.</p>
<p>What won me over was a workflow built around scanning first and touching files second. It walks the library with <a href="https://ffmpeg.org/ffprobe.html" target="_blank" rel="noopener noreferrer">ffprobe</a>, looks at codec, resolution, and bitrate, and only then decides if a file is even worth a shot at <a href="https://en.wikipedia.org/wiki/H.265" target="_blank" rel="noopener noreferrer">x265</a>. When it does encode, it can score the result with <a href="https://netflix.github.io/vmaf/" target="_blank" rel="noopener noreferrer">VMAF</a> and simply discard any output that does not meet a minimum quality threshold, leaving the original in place.</p>
<p>Having that kind of safety net makes “let it run in the background” feel sane instead of reckless.</p>
<h4>Reencode or redownload: the kitchen table math</h4>
<p>The obvious question in my house was cost. If you have thousands of files, is it wasteful to chew power and GPU time reencoding them all, instead of just redownloading <a href="https://en.wikipedia.org/wiki/H.265" target="_blank" rel="noopener noreferrer">HEVC</a> releases and calling it a day?</p>
<p>For new content, I lean hard toward native H.265. <a href="https://sonarr.tv/" target="_blank" rel="noopener noreferrer">Sonarr</a> and Radarr are tuned to prefer HEVC so fresh downloads usually land in the right format. My wife never hears the word codec; she only notices that things start quickly and stream smoothly.</p>
<p>For the giant pile already sitting under <code>/media</code>, the math reverses.</p>
<p>I already paid the bandwidth and indexer cost to get those files. Redownloading terabytes would hit caps, risk worse encodes, and still leave me juggling replacements in Plex and Jellyfin. Letting a tool reencode locally, with VMAF and “no savings” detection as a gate, turns it into a one time CPU or GPU bill that often cuts file sizes by half or more. In my house, that beats buying yet another drive and stretching backups even further.</p>
<p>So I download HEVC going forward, and I reencode the backlog I already trust.</p>
<h4>Quiet gains in the background</h4>
<p>The part I appreciate day to day is how library aware the process feels. It pulls in TMDB metadata, understands native language versus dubs, and can strip commentary tracks while keeping the few languages my wife and I actually need. A lot of the time it just remuxes audio and subtitles without touching the video, so the job is fast and lossless.</p>
<p>On my server, I keep a couple of CPU jobs running during the day, then let the GPU open up overnight when nobody is watching.</p>
<p>From the family’s perspective, nothing has changed except that Plex feels snappier and I complain less about disk space.</p>
<h4>Where this can still bite you</h4>
<p>There are real tradeoffs. You need to be comfortable with Docker, <a href="https://docs.docker.com/engine/reference/run/#path-mapping" target="_blank" rel="noopener noreferrer">path mappings</a>, and the idea that one app has permission to rewrite your media. If your library lives on flaky <a href="https://en.wikipedia.org/wiki/Network_File_System" target="_blank" rel="noopener noreferrer">NFS</a> or <a href="https://en.wikipedia.org/wiki/Server_Message_Block" target="_blank" rel="noopener noreferrer">SMB</a> shares, you will occasionally be reading logs instead of relaxing on the couch.</p>
<p>The saving grace is paranoia. Originals can be kept in a backup folder for days, every output is verified before the source is touched, and files that do not get smaller enough are simply skipped and marked as ignored.</p>
<p>That mix of caution and automation is what finally let me shrink the library under my desk without my wife or my son ever realizing anything changed.</p>
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