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Awesome-World-Models
A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, i…
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View guide →Self-hosted video: a modern next.js-based tool for ai-powered youtube vide.
youtube_summarizer is an open-source video project by DevRico003 (DevRico003/youtube_summarizer on GitHub). It has 217 GitHub stars and 63 forks, is released under the MIT license, and was last updated on GitHub on 29 January 2026.
Fetch the source code onto your machine.
Pull in the Node packages the app needs.
Copy the sample config or env file and adjust it.
Start the development or production server.
Built around anthropic claude for a focused workflow.
Built around better auth for a focused workflow.
Built around llm for a focused workflow.
Built around multilingual for a focused workflow.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Get the source on your machine.
git clone https://github.com/DevRico003/youtube_summarizer.gitInstall Node dependencies.
cd youtube_summarizer && npm installRun the application.
cd youtube_summarizer && npm startIt a modern Next.js-based tool for AI-powered YouTube video summarization. Features smart chapter detection with clickable timestamps, multi-language support (EN, DE, FR, ES, IT), visual chapter timelines, and full transcript access with markdown export, giving you a working starting point you can run and adapt.
Yes — the code is open-source, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in TypeScript, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
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