Alternatives
Products that do what FFmpeg in plain English – LLM-assisted FFmpeg in the browser does
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.
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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…
Dec 2025 · npmjs.com
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Inspired by the "ffmpeg by examples" comments, here's a simple script that pulls it all together. Set your OpenAI API key env var and make the script executable, and you're golden.
2025 · github.com
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2022 · ffmpeg.guide
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You ever just want to shrink a video… and suddenly you’re buried in flags, half-broken StackOverflow answers, and 10 tabs open just to figure out one command? That’s been me. Every. Single. Time. So I built FFmpeg Pages — a dead-simple collection of the commands I kept searching for. No fluff, no digging, just the stuff that actually works.
2025 · ffmpegs.pages.dev
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2024 · github.com
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2025 · github.com
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Hello Friends, I have built a new video editor app that generates ffmpeg commands to get the edited video. This gives you flexibility to use it in scripts etc. for your video editing workflows and makes editing tasks smooth by letting you visually adjust video elements that are difficult to adjust in commandline. Demo is here - https://www.youtube.com/watch?v=KSvazNBEfTc Link is here - https://newbeelearn.com/tools/videoeditor/ Features are - video, image, text editing - adjustable timeline and layers - adjust position, size , alignment, font size…
2024 · newbeelearn.com
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Hi HN, I built typed-ffmpeg, a Python package that lets you build FFmpeg filter graphs with full type safety, autocomplete, and validation. It’s inspired by ffmpeg-python, but addresses some long-standing issues like lack of IDE support and fragile CLI strings. What’s New in v3.0: • Source filter support (e.g. color, testsrc, etc.) • Input stream selection (e.g. [0:a], [1:v]) • A new interactive playground where you can: • Build filter graphs visually • Generate both FFmpeg CLI and typed Python code • Paste existing FFmpeg commands and reverse-parse them into graphs Playground link:…
2025 · github.com
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Hey HN, just wanted to share my success story with CompressX, my FFmpeg wrapper for macOS. For those who may not be familiar, FFmpeg is a powerful tool for converting, streaming, and recording audio and video content. I started CompressX as a weekend project to serve my 9-5 jobs, primarily to compress demo videos for uploading to GitLab and sharing with my colleagues. It took me 2 weeks to make the first working version. I shared the demo on Twitter and the reaction was extraordinary. People loved it, they said that I was bringing the Pied Piper to life. Four months later, I hit the $9,000…
2024 · compressx.app
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2022 · github.com
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Dear HN, I’m excited to show case a personal project. It has helped me quite a bit with my home lab, I hope it can help you with yours too! ffmpeg-over-ip has two components, a server and a client. You can run the server in an environment with access to a GPU and a locally installed version of ffmpeg, the client only needs network access to the server and no GPU or ffmpeg locally. Both and client and the server need a shared filesystem for this to work (so the server can write output to it, and client can read from it). In my usecase, smb works well if your (GPU) server is a windows machine,…
2024 · github.com
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I built a single-file Python script that lets you run LLM prompts from the command line with templating, structured outputs, and the ability to chain prompts together. When I discovered Google's Dotprompt format (frontmatter + Handlebars templates), I realized it was perfect for something I'd been wanting: treating prompts as first-class programs you can pipe together Unix-style. Google uses Dotprompt in Firebase Genkit and I wanted something simpler - just run a .prompt file directly on the command line. Here's what it looks like: --- model: anthropic/claude-sonnet-4-20250514 output:…
Nov 2025 · github.com
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Built a browser-based FFmpeg editor that runs entirely client-side via WebAssembly. Your files never leave your device -- all processing happens in a Web Worker. Works offline as an installable PWA after first load.
Jun 2026 · github.com
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Browser LLM demo working on JavaScript and WebGPU. WebGPU is already supported in Chrome, Safari, Firefox, iOS (v26) and Android. Demo, similar to ChatGPT https://andreinwald.github.io/browser-llm/ Code https://github.com/andreinwald/browser-llm - No need to use your OPENAI_API_KEY - its local model that runs on your device - No network requests to any API - No need to install any program - No need to download files on your device (model is cached in browser) - Site will ask before downloading large files (llm model) to browser cache - Hosted on Github…
2025 · andreinwald.github.io
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Hi HN, I built VidStudio, a privacy focused video editor that runs in the browser. I tried to keep it as frictionless as possible, so there are no accounts and no uploads. Everything is persisted on your machine. Some of the features: multi-track timeline, frame accurate seek, MP4 export, audio, video, image, and text tracks, and a WebGL backed canvas where available. It also works on mobile. Under the hood, WebCodecs handles frame decode for timeline playback and scrubbing, which is what makes seeking responsive since decode runs on the hardware decoder when the browser supports it. FFmpeg…
Apr 2026 · vidstudio.app
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Hey HN! I built Topic2Manim to automate the creation of educational videos like those from 3Blue1Brown. The workflow is simple: 1. Give it any topic (e.g., "how ChatGPT works") 2. An LLM generates an educational script divided into scenes 3. LLM generates Manim code for each scene 4. FFmpeg concatenates everything into a final video Currently working on TTS integration for narration! Would love feedback on the approach and ideas for the TTS integration
Jan 2026 · github.com
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This is my take on the common "use llms to generate shell commands" utility. Emphasis is placed on good CLI UX, simplicity, and flexibility. `llm2sh` supports multiple LLM providers and lets LLMs generate multi-command sequences to handle complex tasks. There is also limited support for commands requiring `sudo` and other basic input. I recommend using Groq llama3-70b for day-to-day use. The ultra-low latency is a game-changer - its near-instant responses helps `llm2sh` integrate seamlessly into day-to-day tasks without breaking you out of the 'zone'. For more advanced tasks, swapping to…
2024 · github.com
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Hey HN, I made Browser-Use, an open-source tool that lets (all Langchain supported) LLMs execute tasks directly in the browser just with function calling. It allows you to build agents that interact with web elements using natural language prompts. We created a layer that simplifies website interaction for LLMs by extracting xPaths and interactive elements like buttons and input fields (and other fancy things). This enables you to design custom web automation and scraping functions without manual inspection through DevTools. Hasn't this been done a lot of times? Good question, as a general…
2024 · github.com
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https://github.com/elijah-potter/ofc
2025 · elijahpotter.dev
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Bash4LLM is a single-file Bash wrapper for interacting with LLMs from the terminal. I created it because I wanted something simple that worked without installing Python, Node, or any other runtime. It uses only Bash, curl, and jq. You can send prompts, start a small chat, process files line by line, stream output, and save session metadata in JSON format. I tried to make it safe and predictable: no use of the system /tmp, no use of eval. Groq is supported by default, and other providers can be added with dedicated Bash scripts in the extras/providers/ folder. Example: echo…
Jun 2026 · github.com
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