This workflow automates the process of analyzing YouTube videos by extracting transcripts, summarizing content with AI models, and emailing the results. It is designed for content creators, researchers, or marketers who need quick insights from videos. The workflow begins with a manual trigger, where the user can input a YouTube URL or select one from predefined links. The URL is processed to extract the video ID, which is then used to request the transcript from an external API. If a transcript is available, the full text is compiled and sent to various AI language models for analysis and summarization. The final output is a structured summary that highlights key points, which is then emailed for review. This workflow streamlines video analysis, making it practical for educational content, research, or content planning.
YouTube Video Transcript Analysis with AI
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatDeepSeek, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenRouter, @n8n/n8n-nodes-langchain.outputParserStructured, code, emailSend, httpRequest, if, manualTrigger, set, stickyNote |
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