We need a new open source license that states explicitly that the code may not be used in any situation where it will cause harm to people.

Where would Google be if they had #curl, #ffmpeg and a thousand other libs taken away from them?

Is there a (preferably FLOSS) tool I can use to turn .sup subtitle data into images, preferably batch.

I want to extract the subtitle images from videos to then run OCR on them. I know SubtitleEdit can run tesseract, but I find that tool clumsy and also tesseract output is really poor, so I'd like to experiment in doing the OCR with other things.

#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

Photograph with FFmpeg output in Bash

Ahora que estais todos dormidos (casi todos, la waka está despierta) voy a subir el primero de los muchos ruidos que voy a hacer con el nuevo filtro de ffmpeg.

#orca y #NTS1 grabado con #ffmpeg

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

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)

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.

Assume I have a single 10h long .mkv clip (#IYKYK) which I want to chop up at non-uniform parts, i.e. first chunk would be 14:05 long, the second 17:36 etc.
Provided I establish where to cut, can you provide me with a script that does exactly that? No need to re-encode or transcode, no need to modify neither the video nor the audio streams; no need to adjust sync either, just chop-chop-chop
I'm not looking for a GUI where I'd need to configure a zillion settings before I can perform the manual part, so #ffmpeg seems like an obvious choice.
Can any of you aficionados help me out please? Please boost for karma

So I have hundreds of videos of ~1 minute recorded from my phone ~10 years ago, and they generally don’t have that great compression, nor they are stored in a modern and advanced video format.

For archiving purposes, I want to take advantage of my workstation’s mighty GPU to process them so that the quality is approximately the same, but the file size would be strongly reduced.

Nevertheless, compressing videos is terribly hard, and way more complex than compressing pictures, so I wouldn’t really know how to do this, what format to use, what codec, what bitrate, what parameters to keep an eye on, etc.

I don’t care if the compression takes a lot of time, I just want smaller but good looking videos.

Any tips? (Links to guides and tutorials are ok too)

Also, unfortunately I am forced to use Windows for this (don’t ask me why ), but I know nothing about Windows because I hate it. Practical software suggestions are very much welcome, too!

Reading through FFmpeg Change Log

https://git.ffmpeg.org/gitweb/ffmpeg.git/blob/refs/heads/release/7.1:/Changelog

Playing with this amazing frontend again to understand FFmpeg better.

Because FFmpeg can do a multitude of operations on both the audio and the video of a stream, it takes or a lot of time and a significant amount of systematic effort to understand everything you need to know about this superb toolbox

I need to know a lot about it so I'll use any tool to assist me in this endeavor

https:// ffmpeg.lav.io

Finally got #FFmpeg working as a fully functional screen recorder, and podcast recorder too! No more downloading third party tools that can all be done in FFmpeg. Now maybe I can make PeerTube videos easier now.

I'm trying to free my audiobooks from the Audible ecosystem and have run into a little issue for which I'm looking for help.

After liberating books with "ffmpeg -y -activation_bytes <bytes> -i <book>.aax -codec copy <book>.m4b", some of them show a vastly longer duration in my library. One example goes from 14h34m44s to 777h28m46s. It's only a small portion of the books, and I haven't figures out a pattern yet.

Any ideas why?

Speak faster… or give me tokens… nah, just speak faster.

#transcriptions #llm #gpt #openAI #ffmpeg #ffmpeg4live

https://george.mand.is/2025/06/openai-charges-by-the-minute-so-make-the-minutes-shorter/

ein computer ohne #ffmpeg ist möglich, aber sinnlos!