This n8n workflow is designed to automate the process of summarizing YouTube videos by extracting transcripts, analyzing the content with AI, and generating concise summaries. It streamlines content review, research, and repurposing by transforming lengthy videos into key insights. The workflow begins with a webhook form where users input the full YouTube URL. It then makes an API request to an external service to fetch the transcript of the video. Once the transcript is obtained, the content is sent to an AI-based summarization node that leverages OpenAI’s language models to produce a clear and professional summary. The workflow includes sticky notes for guidance during setup and optional steps for further enrichment if needed. This automation is ideal for content creators, researchers, or anyone looking to efficiently digest video content or generate summaries for sharing or analysis.
Automated YouTube Video Summarization Workflow
Node Count | 6 – 10 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainSummarization, @n8n/n8n-nodes-langchain.lmChatOpenAi, formTrigger, httpRequest, noOp, stickyNote |
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