<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: jorritpr</title><link>https://news.ycombinator.com/user?id=jorritpr</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Mon, 25 May 2026 00:59:47 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=jorritpr" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by jorritpr in "Show HN: CPU-only transcription for YouTube, TikTok, X, Instagram videos"]]></title><description><![CDATA[
<p>Very cool, I'm also working on a captioning/subtitling project for the lecture recordings for the university I work at.<p>My biggest challenge is finding a proper language model that is fast enough and accurate enough since I have to caption about 600 hours of video per week and I preferably want to run all of this on a tiny server (2 cores 4 GB memory). This tool could easily do that with the kroko model but I'll have to test if the accuracy is good enough.<p>Also in my own scripts I'm using ffmpeg to download just the audio of the videos that I want to caption, which saves a lot of bandwith and speeds up the whole process. As far as I can see this tool doesn't do that, that would be a nice functionality to add, plus an option to turn the output into a working .srt file.</p>
]]></description><pubDate>Thu, 21 May 2026 11:24:39 +0000</pubDate><link>https://news.ycombinator.com/item?id=48220851</link><dc:creator>jorritpr</dc:creator><comments>https://news.ycombinator.com/item?id=48220851</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48220851</guid></item></channel></rss>