This n8n workflow automates the process of summarizing research papers in multiple formats tailored to different audiences. It starts with a webhook trigger that receives a paper URL, then parses the document to extract its content. Using OpenAI models, it generates four types of summaries: an executive overview, a detailed technical report, an easy-to-understand lay summary, and a concise social media tweet. The summaries are then compiled into a single response and returned via the webhook response. This workflow is ideal for researchers, educators, or content creators who want quick access to various summaries of complex research papers, making information accessible and shareable across different platforms and audiences.
Automated Multi-Format Research Paper Summarizer
Node Count | 6 – 10 Nodes |
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Nodes Used | code, n8n-nodes-pdfvector.pdfVector, openAi, respondToWebhook, stickyNote, webhook |
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