Extract Data from Documents with GPT-4, PDFVector & PostgreSQL

This n8n workflow enables intelligent document processing by automatically extracting key data from unstructured documents like invoices, contracts, reports, and forms. It starts with a folder trigger monitoring for new files, parses documents using advanced PDFVector with LLM support for accurate text extraction, then leverages GPT-4 for AI-powered field identification and structured data output. Additional steps handle data validation, cleaning, transformation, and seamless export to PostgreSQL databases.

Key benefits include significant time savings on manual data entry, reduced errors through AI validation, support for multiple document formats (PDFs, Word), and customizable extraction templates. It's scalable for enterprise use, processing high volumes without custom coding, and integrates effortlessly with existing n8n setups.

Ideal use cases: Automating invoice processing for AP teams, digitizing contract data for legal reviews, mining reports for analytics, and converting forms to database records. Perfect for businesses seeking to operationalize AI for document-heavy workflows.