Show HN: Ez FFmpeg – Video editing in plain English
21–30 of 210 posts
Re: Show HN: Ez FFmpeg – Video editing in plain English
#22I was surprised that macOS (QuickTime/Preview, iMovie) can't read .mp4 files. Not sure if it was due to H.265 or the audio codec. I tried using ffmpeg to convert to .mov but that also failed to open, since I guess MOV is just another container format. Is there an easier way?
Re: Show HN: Ez FFmpeg – Video editing in plain English
#23That's the problem ideally solved by typed data, i.e., some UI where instead of trying to memorize whether it's thumb/s/nails you can read the closed list of alternatives, read contextual help and pick one
This is why we have fish tab completions. Does exactly that; list of possible commands with contextual help. Fish rules.
Which format is the default if no argument is given?
Or more complicated contextual knowledge - if you cut 1sec of a video file, does fish autocomplete to tell you whether the video is reencoded or cut (otherwise) losslessly
Also, what does fish complete to on Windows?
Re: Show HN: Ez FFmpeg – Video editing in plain English
#24I was surprised that macOS (QuickTime/Preview, iMovie) can't read .mp4 files. Not sure if it was due to H.265 or the audio codec. I tried using ffmpeg to convert to .mov but that also failed to open, since I guess MOV is just another container format. Is there an easier way?
IMHO the de-facto video player for macOS is [IINA]( https://iina.io/ ).
Re: Show HN: Ez FFmpeg – Video editing in plain English
#25Re: Show HN: Ez FFmpeg – Video editing in plain English
#26I like that you took no AI approach, i am looking for something like this i.e. understanding intent and generating command without using AI but so far regex based approaches have proved to be inadequate. I also tried indexing keywords and creating index of keywords with similar meaning that improved the situation a bit but without something heavy like bert its always a subpar experience.
Re: Show HN: Ez FFmpeg – Video editing in plain English
#27The one good usecase I've found for AI chatbots, is writing ffmpeg commands. You can just keep chatting with it until you have the command you need. Some of them I save as an executable .command, or in my .txt note.
But doesnt something like this interface kind of show the inefficiency of this? Like we can all agree ffmpeg is somewhat esoteric and LLMs are probably really great at it, but at the end of the day if you can get 90% of what you need with just some good porcelain, why waste the energy spinning up the GPU?
Re: Show HN: Ez FFmpeg – Video editing in plain English
#28Re: Show HN: Ez FFmpeg – Video editing in plain English
#29When converting video to gif, I always use palettegen, e.g. ffmpeg -i input.mp4 -filter_complex "fps=15,scale=640:-2:flags=lanczos,split[a][b];[a]palettegen=reserve_transparent=off[p];[b][p]paletteuse=dither=sierra2_4a" -loop 0 output.gif See also: this blog post from 10 years ago [1] [1] https://blog.pkh.me/p/21-high-quality-gif-with-ffmpeg.html
/s
Re: Show HN: Ez FFmpeg – Video editing in plain English
#30The one good usecase I've found for AI chatbots, is writing ffmpeg commands. You can just keep chatting with it until you have the command you need. Some of them I save as an executable .command, or in my .txt note.
As pessimistic about it as I am, I do think LLMs have a place in helping people turn their text description into formal directives. (Search terms, command-line, SQL, etc.) ... Provided that the user sees what's being made for them and can confirm it and (hopefully) learn the target "language." Tutor, not a do-for-you assistant.