Claude-Real-Video Released as Open-Source Tool for Local Video Analysis
A new open-source utility called claude-real-video processes video files locally, extracting scene-aware frames and transcripts for any large language model.
- The open-source tool claude-real-video processes local video files or URLs entirely on a user’s local machine to prepare them for LLM analysis.
- Unlike default cloud-based AI tools that sample frames at fixed intervals, this tool extracts frames dynamically based on scene changes and filters out near-duplicates.
- The software is licensed under the open-source MIT license and is hosted publicly on GitHub by developer HUANGCHIHHUNGLeo.
A new open-source software utility called claude-real-video allows users to prepare video files locally so that Claude, ChatGPT, or any other large language model can analyze the visual content. According to the project’s GitHub repository, created by developer HUANGCHIHHUNGLeo, the tool runs entirely on the user’s local machine to extract scene-aware frames, remove near-duplicate images, and transcribe the accompanying audio.
How does claude-real-video process media files?
According to the developer’s documentation, standard AI video analysis methods are highly limited. For example, pasting a YouTube link into ChatGPT typically only feeds the text transcript to the model, rather than the visual data. While Google’s Gemini can process video natively, it uploads files to the cloud and samples frames at a rigid, default rate of 1 frame per second (fps), which can cause rapid visual cuts to be missed entirely.
The claude-real-video tool addresses this by analyzing actual scene changes rather than relying on a fixed-interval quota. It extracts only the frames that represent distinct visual shifts, discards near-duplicates to save token space, and generates a structured output folder. This folder contains a subfolder of JPEG frames, an audio transcript text file, and a manifest file. Users can then drag and drop these processed assets directly into their preferred interface, making it a highly practical utility for those using the best AI chatbots for complex multimodal tasks.
What are the licensing and technical requirements?
The repository, which has received 125 stars on GitHub, is distributed under the permissive MIT license. The tool is executed via a simple command-line interface, where users point the script toward a local file path or a web URL. Because the processing occurs locally, no proprietary video data is uploaded to external servers during the initial extraction and deduplication phase. This local pipeline ensures that users retain control over their media files before deciding which specific frames and text to send to third-party LLM providers.
Frequently asked questions
What is claude-real-video?
It is an open-source, MIT-licensed command-line tool that processes video files or URLs locally, extracting key frames based on scene changes and transcribing audio so the data can be analyzed by any LLM.
How does this tool differ from Gemini’s native video processing?
While Gemini samples video frames at a fixed default rate of 1 frame per second in the cloud, this tool runs locally and dynamically extracts frames only when scene changes occur, preventing fast cuts from being missed.
Where is the data processed when using this tool?
All frame extraction, duplicate filtering, and transcription processing are performed locally on the user’s machine before any files are manually uploaded to an AI model.
To find the best platform for analyzing your processed video frames, check out our review of the best AI chatbots.
Best AI Chatbots in 2026 (Tested & Ranked) →Source: Hacker News. Published July 3, 2026.
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