This n8n workflow automates the process of retrieving, processing, and summarizing YouTube video transcripts for quick insights. Starting with a manual trigger, it allows users to input a YouTube video ID, fetches the associated transcript using SearchApi, and then splits the transcript into manageable chunks. These chunks are summarized using a language model, such as GPT-4, via the Langchain nodes. The process ensures large texts are broken down effectively, enabling comprehensive summarization. This workflow is useful for content creators, researchers, and team members who need concise summaries of lengthy videos without manual effort, improving content analysis and knowledge sharing.
Automated YouTube Video Summarization Workflow
| Node Count | 6 – 10 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.chainSummarization, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @searchapi/n8n-nodes-searchapi.searchApi, manualTrigger, splitOut, stickyNote, summarize |
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