Automated Scientific PDF Summarization with GPT-4

This workflow automates the process of generating detailed summaries of scientific research PDFs. It starts by monitoring a designated folder for newly added PDF files, then extracts and converts the PDFs into text. Using OpenAI’s GPT-4 model, it analyzes the research articles based on a comprehensive prompt, providing structured summaries that include sections like Introduction, Methods, Results, and Conclusions. The summarized content is then saved automatically to a specified folder for easy access. This workflow is particularly useful for researchers, students, or academic institutions seeking to streamline the review of scientific literature, saving time while maintaining in-depth understanding. It leverages n8n’s file handling capabilities and OpenAI’s advanced language model to enhance research productivity and data management.