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