Summarize Content from URLs, Text & PDFs using OpenAI

AI Content Summarizer Suite

This n8n template collection demonstrates how to build a comprehensive AI-powered content summarization system that handles multiple input types: URLs, raw text, and PDF files. Built as 4 separate workflows for maximum flexibility. Use cases: Research workflows, content curation, document processing, meeting prep, social media content creation, or integrating smart summarization into any app or platform.

How it works Multi-input handling: Separate workflows for URLs (web scraping), direct text input, and PDF file processing Smart PDF processing: Attempts text extraction first, falls back to OCR.Space for image-based PDFs AI summarization: Uses OpenAI's GPT-4.1-mini with customizable length (brief/standard/detailed) and focus areas (key points/numbers/conclusions/action items) Language support: Multi-language summaries with automatic language detection Flexible output: Returns clean markdown-formatted summaries via webhook responses Unified option: The all-in-one workflow automatically detects input type and routes accordingly

How to use Replace webhook triggers with your preferred method (manual, form, API endpoint) Each workflow accepts different parameters: URL, text content, or file upload Customize summary length and focus in the AI prompt nodes Authentication is optional - switch to "none" if running internally Perfect for integration with Bubble, Zapier, or any platform that can make HTTP requests

Requirements OpenAI API key or OpenRouter Keys OCR.Space API key (for PDF fallback processing) n8n instance (cloud or self-hosted) Any platform that can make HTTP requests.

Setup Steps Replace "Dummy OpenAI" with your OpenAI credentials Add your OCR.Space API key in the OCR nodes is not mandatory. Update webhook authentication as needed Test each workflow path individually