Automated PDF Summarization with n8n and AI

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This n8n workflow automates the process of uploading, validating, and summarizing PDF documents using AI-powered tools. It starts by receiving a file upload through a webhook, then checks if the file meets size and page count constraints (less than 10MB and up to 20 pages). The workflow extracts metadata such as file size to ensure compliance. If valid, it extracts text from the PDF, which is then analyzed by a language model (using GPT-4) to generate a structured, multi-part summary. The process includes clear validation steps, error handling for invalid or problematic files, and formats the results into a readable markdown report. This setup is ideal for automating document processing tasks like legal document review, research paper summarization, or business report analysis, saving time and improving consistency.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.informationExtractor, @n8n/n8n-nodes-langchain.lmChatOpenAi, code, crypto, extractFromFile, if, noOp, respondToWebhook, set, stickyNote, webhook

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