YouTube Chapter Generator
This workflow automatically retrieves YouTube video subtitles, uses AI models to intelligently generate a video chapter directory, and updates it in the video description, significantly enhancing the structuring and chaptering efficiency of video content. It addresses the cumbersome issue of manually adding chapters, making it suitable for video creators, educational institutions, and content operators. This allows viewers to better understand and watch the videos, while also improving the professionalism of the videos and viewer engagement.
Tags
Workflow Name
YouTube Chapter Generator
Key Features and Highlights
This workflow automatically retrieves subtitle files from specified YouTube videos, parses the subtitle content, and leverages the Google Gemini language model to intelligently generate video chapter outlines. It then updates the chapter information in the video description, enabling structured and segmented video content.
Core Problem Addressed
Manually adding chapters to YouTube videos is time-consuming and prone to errors. This workflow automates subtitle extraction and intelligent analysis to accurately generate chapter markers, significantly improving the efficiency of video content organization and enhancing the viewer experience.
Application Scenarios
- Video creators automatically generating chapter outlines for long videos
- Content operators optimizing video description information
- Educational and training videos with automatically generated chapters for easier learning
- Media organizations batch processing video content structuring
Main Process Steps
- Manually trigger the workflow to start execution
- Set the target video ID
- Retrieve video metadata
- Obtain the video subtitle ID via YouTube API
- Download the corresponding subtitle file (SRT format)
- Extract subtitle text content
- Use the Google Gemini AI model to segment the subtitles into chapters and generate labels
- Output structured chapter information
- Update the generated chapter content into the video description
Involved Systems or Services
- YouTube API (video metadata retrieval, subtitle fetching, and updating)
- Google Gemini Chat Model (AI-driven intelligent chapter generation based on large language models)
- n8n Automation Platform (workflow orchestration and node execution)
Target Users and Value
- YouTube content creators: Automatically generate chapters to enhance video professionalism and viewer engagement
- Digital marketers: Optimize video structure to boost content marketing effectiveness
- Educational institutions and trainers: Quickly produce chaptered video courses
- Media professionals and video editors: Batch process and manage video content, saving time and costs
This workflow achieves full automation from subtitle extraction to structured chapter generation, combining AI-driven intelligent analysis to effectively enhance the intelligence and automation level of video content management.
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