Video
Open-Sora-Plan
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
★ 12.2k starsMIT
View guide →// video · yt-dlp/yt-dlp
yt-dlp
yt-dlp is an open-source video project by yt-dlp (yt-dlp/yt-dlp on GitHub). It has 195,267 GitHub stars and 16,961 forks, is released under the Unlicense license, and was last updated on GitHub on 27 September 2026.
A feature-rich command-line audio/video downloader
★ 195.3k stars⑂ 17.0k forksUnlicenseupdated 2026-09
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
so here's a placeholder. The guide below is complete regardless.
// project facts
Project facts
- Repository
- yt-dlp/yt-dlp
- GitHub stars
- 195,267
- Forks
- 16,961
- License
- Unlicense
- Last updated on GitHub
- 27 September 2026
- Category
- Video
- Listing
- Full install guide
- Official site
- Official site
// how it works
How it works
- Pick your task
Generation, editing, conversion, or capture — match the tool to the job; most of these do one stage brilliantly.
- Install it
Desktop builds, Docker images, and package-manager installs cover every major OS.
- Feed it media
Drop in clips, images, or audio; AI tools may need a model download on first run.
- Export and share
Render to standard formats (MP4, WebM, GIF) ready for any platform.
// features
Why people love it
Command-line friendly
Scriptable from the terminal, so it drops straight into existing workflows.
Python ecosystem
Built on Python, so it plugs into the wider data and ML tooling ecosystem.
Format freedom
FFmpeg-grade codec support handles whatever you throw at it.
Runs locally
Your footage never uploads anywhere; render on your own GPU.
No watermarks
Exports are clean — what you make is yours, with no branding tax.
Open formats
Standard containers and codecs — no lock-in, no proprietary projects.
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// run it
Run it yourself
- Step 1 — Clone the repo
Download the source and move into the project folder.
git clone https://github.com/yt-dlp/yt-dlp.git cd yt-dlp - Step 2 — Check the README
Every project documents its own setup; start with install requirements.
cat README.md | head -60 - Step 3 — Run it
Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch command
// use cases
What you can build
- Create AI-generated clips and animations from text prompts.
- Edit videos with a free timeline editor.
- Convert and compress footage for the web.
- Capture screen, camera, or streams locally.
For a different angle on this shelf, SnapX captures and record your screen, then share instantly — free and open source. Nearby on the same shelf, DataMagic uploads a table, get a narrated animated data story. The Video shelf also holds LiveTalk-Unity — its page carries the full write-up, install steps and GitHub numbers.
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// faq
Questions, answered
Who maintains yt-dlp?
It is an open-source project at yt-dlp/yt-dlp with 16,961 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Is yt-dlp free for commercial use?
Licensed under Unlicense — check the repo for commercial-use terms.
What formats are supported?
MP4/H.264, WebM, ProRes, and image sequences are the common denominators — check each tool's docs.
Do I need a powerful GPU?
AI generation benefits hugely from one; editors and converters run fine on modest hardware.
Is the output really free to use?
Yes — exports carry no watermark and the open licenses let you monetize your work.
// keep exploring
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View guide →// alternatives
Alternatives in Video
The most-starred other Video projects in the LibreAI catalogue — the realistic shortlist if yt-dlp is not the right fit.
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// more in video
More in Video
Nearby Video projects in the catalogue, closest in stars to yt-dlp — keep exploring the shelf either side of it.
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3D talking avatar linked to Claude Code CLI - voice conversation with lip-sync
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- obs-studio★ 76.9k
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Local-first pipeline that turns a topic into a publish-ready short video.
- FFmpeg★ 64.7k
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Get yt-dlp
Free and open — grab the source, star the repo, and start creating.