Summarize Content from URLs, Text & PDFs using OpenAI

Description

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