
FFmpeg.app
Encode video and audio using FFmpeg right in your browser.
What it does
An open source web app that serves as a search engine and an online version to run commands using FFmpeg, the popular video and audio encoding, conversion, and transformation tool.
Does a similar job
all alternatives →
- FEffmpeg-english "capture from /dev/video0 every 1 second to jpg files"2024 · github.com · ▲153

- FIFFmpeg in plain English – LLM-assisted FFmpeg in the browser2025 · vidmix.app · ▲179
I found that I am using ChatGPT more and more to get the FFmpeg command I need, but the process can be a bit tedious: copy-pasting commands, dealing with input file names and locations, making sure the prompt contains enough info about the input files. This site attempts to solve that. You just describe what you want to do, pick the input files and an LLM (currently DeepSeek) generates the FFmpeg command. You can then run it directly in your browser or use the command elsewhere.
- FUFFmpeg UI2023 · ybouane.com · ▲40
A user interface to quickly and easily convert media files using FFMPEG behind the scenes.
- EFEz FFmpeg – Video editing in plain EnglishDec 2025 · npmjs.com · ▲420
I built a CLI tool that lets you do common video/audio operations without remembering ffmpeg syntax. Instead of: ffmpeg -i video.mp4 -vf "fps=15,scale=480:-1:flags=lanczos" -loop 0 output.gif You write: ff convert video.mp4 to gif More examples: ff compress video.mp4 to 10mb ff trim video.mp4 from 0:30 to 1:00 ff extract audio from video.mp4 ff resize video.mp4 to 720p ff speed up video.mp4 by 2x ff reverse video.mp4 There are similar tools that use LLMs (wtffmpeg, llmpeg, ai-ffmpeg-cli), but they require API keys, cost money, and have latency. Ez FFmpeg is different: - No AI – just…
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Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…
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