AI-Enhanced YouTube Video Analysis and Summarization Workflow

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This comprehensive n8n workflow enables automated extraction, analysis, and conversational interaction with YouTube video content. Its primary goal is to fetch detailed video information and transcripts, then leverage AI models to generate summaries, insights, and answers based on the content. Suitable for content creators, researchers, and learners, this workflow streamlines content analysis and boosts accessibility.

The process begins with inputting a YouTube Video ID, triggering nodes that use Google APIs and the youtube-transcript package to retrieve video details and transcripts. The transcript is split into segments, combined, and processed through OpenAI’s GPT models for summarization, question-answering, and detailed analysis. An AI agent interacts with the user in real-time, providing detailed responses or summaries.

The workflow integrates various services including YouTube Data API, OpenAI GPT models, and the youtube-transcript package. It can be used to quickly analyze long videos, extract key points, and create engaging, summarized content. Practical scenarios include content research, educational summaries, content repurposing, and accessibility improvements.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolWorkflow, aggregate, code, executeWorkflowTrigger, httpRequest, merge, set, splitOut, stickyNote, summarize

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