#ffmpeg is mighty and can probably solve your video encoding-related problem

Right now, it's re-encoding some unnecessarily high resolution videos I have into something much more storeable

e.g. 7 GB to 140 MB

https://github.com/jdriselvato/FFmpeg-For-Beginners-Ebook

Today would be a good day to donate to #FFmpeg. It’s the driving force behind so many things, and it surely deserves all respect.

https://ffmpeg.org/donations.html

Pretty accurate I guess. #fun #funny #meme #ffmpeg

I've never liked this White dude, Theo, and seeing #FFmpeg (OF ALL PEOPLE) roast him (and his community even) feels so good. Someone called him a webslop influencer and nothing could describe him better as someone whose career revolves around vibe coding #AI shit, shit-talking other programmers like he's the shit, and prolly even does crypto. Seeing his pinned tweet being a short clip of him being overly excited about some skateboarding of his says a lot about him and his community who were gushing over it lmao.

https://xcancel.com/FFmpeg/status/1952427956271460692

https://xcancel.com/n4ze3m/status/1952442772377743482

https://xcancel.com/swwwve/status/1952457464068165636

I just had the idea that it’d be cool to create a FUSE filesystem that transcodes modern audio formats to MP3 on the fly, so I can play my music collection (mostly AAC and ALAC) in Winamp on one of my Windows 98 machines. Turns out somebody already did this:

https://github.com/nschlia/ffmpegfs

Wondering how well this works. Has anybody tried it?

Photograph with FFmpeg output in Bash

When was the last time that you typed

ffmpeg 

in your ba{c{k{z}}}sh?

Do you know that this command has been driving many many video Systems Servers and programmes for long time?

Type

man ffmpeg 

Check out what the command does. If You do anything video related, look if FFmpeg already executes it gorgeously in the backend so all you need to do is write a front End.

Happy programming

Turns out I accidentally mistook the framerate flag for the bitrate flag and I was encoding a video with 1800K = 1.8 million Hz (FPS)

Oh, FFS! Are people really only now realising that writing assembly code leads to faster processing?

> wielding the art of handwritten assembly code

I cut my teeth on machine language and assembly code. Interpreted and compiled languages never gave faster *results*, they just allowed faster *coding*, which meant saving money on wages.

Come to think of it, that was in the 1970s, so modern coders probably equate it to alchemy and the dark arts.

https://www.tomshardware.com/software/the-biggest-speedup-ive-seen-so-far-ffmpeg-devs-boast-of-another-100x-leap-thanks-to-handwritten-assembly-code

FreeScriptFriday: Sometimes you just need to Remux a video file. Remuxing can help re-index video files so that they play well on websites and web apps. I am sure there are other uses and reasons why you would need to remux a file. This script can remux a single file or a directory of files while preserving the original file name. https://hastebin.teklynk.com/ebosahikeh.bash #freescriptfriday #bash #ffmpeg #linux #code

BTW: I broke my docker container and lost all of my previous FreeScriptFriday scripts/pastes. This should now be fixed moving forward.

Want to compress a video to a specific file size? Constrict is a new Linux tool built in Python and GTK4, and powered by FFmpeg that can do it.

https://www.omgubuntu.co.uk/2025/07/constrict-linux-video-compressor-ffmpeg-gui-ubuntu

Playing with stereo pair labels in the waveform viz tool. So incredibly wild that #ffmpeg just lets me do all this

(short animation, no sound, ironically)

Another little motion extraction doodle, this time of coffee beans in my grinder...

Ok, any #video folks out there who know how to do what I want to do? I don't know what words to search for because I don't know what this technique is called. Boosts welcome, suggestions welcome.

I have a pool cleaning robot. Like a roomba, but for the bottom of the pool. We call it poomba. Anyways, I want to shoot an MP4 video with a stationary camera (a GoPro) looking down on the pool while the robot does its work. So I will have this overhead video of like 3-4 hours.

I want to kinda overlay all the frames of the video into a single picture. So the areas where the robot drove will be dark streaks (the robot is black and purple). And any area the robot didn't cover would show the white pool bottom. Areas the robot went over a lot would be darker. Areas it went rarely would be lighter.

I'm just super curious how much coverage I actually get. This thing isn't a roomba. It has no map and it definitely doesn't have an internet connection at the bottom of the pool. (Finally! A place they can't get AI, yet!) It's just using lidar, motion sensors, attitude sensors and some kind of randomizing algorithm.

I think of it like taking every frame of the video and compositing it down with like 0.001 transparency. By the end of the video the things that never changed (the pool itself) would be full brightness and clear. While the robot's paths would be faint, except where it repeated a lot, which would be darker.

I could probably rip it into individual frames using #ffmpeg and then do this compositing with #ImageMagick or something (I'm doing this on #Linux). But 24fps x 3600 seconds/hour x 3 hours == about 260K frames. My laptop will take ages to brute force this. Any more clever ways to do it?

If I knew what this technique/process was called, I'd search for it.

A developer managed to reverse pixelation in video using FFmpeg, GIMP and edge detection - no AI involved.

By analyzing motion and edges across frames, they could reconstruct original content from blurred areas.

It’s a reminder: pixelation is visual, not secure.

Code & demo: https://github.com/KoKuToru/de-pixelate_gaV-O6NPWrI

Let's go #ArchLinux, #FFmpeg-full with all the bells and whistles.
Converting all the copied Blurays and DVDs into usable formats, using much less space than the backups.

The other alternatives Ubuntu, Debian and Alpine don't have the necessary packages readily available for my use-case.

In that spirit: #Arch, btw.