n8n PDF-to-LLM Workflow Build
Budget: ₹600 – ₹1,500 INR
I need an n8n flow that ingests research-grade PDFs packed with headings, sub-headings, tables, diagrams and dense body text, then automatically extracts the salient data, curates it, and produces clear, concise summaries with the help of an LLM.
Core actions in the workflow
• Data extraction – reliably pull text, tables and visuals from every page.
• Content curation – organise those fragments into a clean, logical structure ready for the model.
• Content summarisation – call the LLM and return a well-formatted synopsis.
Deliverables
1. A reusable n8n workflow (.json) covering the full pipeline from PDF upload to summary output.
2. Brief setup notes so I can drop in my own API keys and run it locally or on n8n Cloud.
3. One example run using a sample PDF that proves extraction, curation and summarisation all work end-to-end.
Core actions in the workflow
• Data extraction – reliably pull text, tables and visuals from every page.
• Content curation – organise those fragments into a clean, logical structure ready for the model.
• Content summarisation – call the LLM and return a well-formatted synopsis.
Deliverables
1. A reusable n8n workflow (.json) covering the full pipeline from PDF upload to summary output.
2. Brief setup notes so I can drop in my own API keys and run it locally or on n8n Cloud.
3. One example run using a sample PDF that proves extraction, curation and summarisation all work end-to-end.
Related categories:
Data Extraction
API Integration
Large Language Model
AI Text-to-text
AI Model Development
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