video-understand

Name: video-understand
Availability: InStock
Author: het8802

Extract frames and transcribe audio from video files locally.

3|1|Updated May 29, 2026

Search Tags:#whisper #ffmpeg #audio transcription #video analysis #offline processing

Ready to run

npx skills add https://github.com/het8802/OpenNolan --skill video-understand-het8802

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: video-understand
Source: https://github.com/het8802/OpenNolan/tree/main/.agents/skills/video-understand
Command: npx skills add https://github.com/het8802/OpenNolan --skill video-understand-het8802

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ffmpeg, ffprobe, openai-whisper, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides offline video content analysis and transcription, allowing users to understand video content without the need for API keys or cloud services.

Core Features & Use Cases

Video Analysis: Extract frames and analyze video content locally.
Audio Transcription: Transcribe video audio using Whisper.
Frame Extraction: Choose between scene detection, keyframe extraction, or regular interval extraction.
Use Case: If you have a video file and need to understand its content without access to cloud services, this Skill can automatically transcribe the audio and extract frames for further analysis.

Quick Start

Use the video-understand skill to analyze and transcribe the video file 'presentation.mp4'.

Frequently Asked Questions about video-understand

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I transcribe video audio offline without using cloud APIs?▼

You can transcribe video audio offline by using Whisper, which processes audio locally without requiring API keys or cloud services. This Skill automates Whisper transcription directly on your machine for video files.

Can I extract frames from a video using ffmpeg scene detection?▼

Yes, you can extract frames from a video using ffmpeg scene detection, keyframe extraction, or regular intervals. This Skill uses ffmpeg to automatically identify scene changes and extract relevant frames for offline analysis.

Do I need to install openai-whisper and ffmpeg to analyze video content locally?▼

Yes, you need to install openai-whisper, ffmpeg, and ffprobe to analyze video content locally. These dependencies are required for frame extraction and audio transcription.

What is the best way to analyze video content without uploading files to the internet?▼

The best way to analyze video content without uploading files is offline local processing. This Skill uses ffmpeg for frame extraction and Whisper for transcription, ensuring your video data remains entirely on your machine.

Does offline video transcription with Whisper work for large video files?▼

Offline video transcription with Whisper works for large video files, but processing time depends on your local hardware. The Skill handles extraction and transcription locally, so performance scales with your machine's capabilities.

What are the limitations of offline video analysis compared to cloud services?▼

Offline video analysis limitations include processing speed constraints tied to local hardware and the need to manually install dependencies like ffmpeg and openai-whisper. It does not require internet access or API keys, unlike cloud services.