Local LLM
Jan
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer
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View guide →Let any LLM actually watch a video — frames plus transcript, run locally.
claude-real-video is an open-source local llm project by HUANGCHIHHUNGLeo (HUANGCHIHHUNGLeo/claude-real-video on GitHub). It has 2,196 GitHub stars and 195 forks, is released under the MIT license, and was last updated on GitHub on 1 October 2026.
Set it up from the repo.
Pass a URL or local file.
It pulls scene-aware frames and the transcript.
Query any model about the video content.
Extracts frames that represent scene changes.
Drops redundant frames to save context.
Combines visuals with spoken content.
Works with online and offline video.
Not tied to Claude despite the name.
Processing happens on your machine.
Download the source and move into the project folder.
git clone https://github.com/HUANGCHIHHUNGLeo/claude-real-video.git
cd claude-real-videoEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandNo, any LLM can consume the frames and transcript output.
MIT licensed — commercial use allowed.
Deduplication keeps context manageable; very long videos need chunking.
Yes, ffmpeg handles the frame extraction.
The site mentions a pro offering; the repo itself is open source.
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer
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Local API bridge to run Claude and Antigravity inside other coding clients.
AI-native video editing on real timelines with local agents.
Run a 70B LLM on a single 4GB GPU — layer-by-layer inference with almost no memory tricks skipped
The most-starred other Local LLM projects in the LibreAI catalogue — the realistic shortlist if claude-real-video is not the right fit.
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A high-throughput and memory-efficient inference and serving engine for LLMs
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Free and open — grab the source, star the repo, and start creating.