Webhook-enabled AI PDF analyzer

Description

Who this template is for

This template is for researchers, students, professionals, or content creators who need to quickly extract and summarize key insights from PDF documents using AI-powered analysis.

Use case

Converting lengthy PDF documents into structured, digestible summaries organized by topic with key insights. This is particularly useful for processing research papers, reports, whitepapers, or any document where you need to quickly understand the main topics and extract actionable insights without reading the entire document.

How this workflow works

Document Upload: Receives PDF files through a POST endpoint at /ai_pdf_summariser
File Validation: Checks that the PDF is under 10MB and has fewer than 20 pages to meet API limits
Content Extraction: Extracts text content from the PDF file
AI Analysis: Uses OpenAI's GPT-4o-mini to analyze the document and break it down into distinct topics
Insight Generation: For each topic, generates 3 key insights with titles and detailed explanations
Format Response: Converts the structured data into markdown format for easy reading
Return Results: Provides the formatted summary along with document metadata (file hash)

Set up steps

Configure OpenAI API: Set up your OpenAI credentials for the GPT-4o-mini model
Deploy Webhook: The workflow automatically creates a POST endpoint at /ai_pdf_summariser
Test Upload: Send a PDF file to the endpoint using a multipart/form-data request
Adjust Limits: Modify the file size (10MB) and page count (20) validation limits if needed based on your requirements
Customize Prompts: Update the system prompt in the Information Extractor node to change how topics and insights are generated

The workflow includes comprehensive error handling for file validation failures (400 error) and processing errors (500 error), ensuring reliable operation even with problematic documents.