This n8n workflow is designed to automate the process of analyzing YouTube videos by extracting transcripts, summarizing the content with AI models, and emailing the results. It begins with a manual trigger allowing users to input a YouTube URL or preset URL. The workflow extracts the video ID from the URL using a custom JavaScript code node. It then requests the transcript via an external API (youtube-transcript.io), handling cases where transcripts are unavailable.

If a transcript is retrieved, it is combined into a full text, which is then analyzed using multiple AI models (OpenAI, OpenRouter, DeepSeek) for in-depth content understanding. The analysis output, formatted via a structured output parser, includes a concise summary and a suggested title. Additional sticky notes guide the user about the process steps.

Finally, the workflow automatically sends an email containing the summarized content and analysis, making it practical for content creators, researchers, or marketers who need quick insights into YouTube videos without manual effort. This workflow streamlines content analysis, enhances research productivity, and supports efficient content planning.

Node Count	>20 Nodes
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