Automated Invoice Processing with OCR and AI

Overview: Turns messy invoices and PDFs into clean, structured, validated data.

🔍 Problem: Finance teams re-type data from invoices and PDFs by hand — slow, error-prone, and impossible to scale as volume grows.

💡 Solution: A document arrives by email or upload, OCR extracts the raw text and tables, GPT structures it into validated fields, and the data is routed to Google Sheets / QuickBooks — with low-confidence items flagged for a quick human review.

Workflow Architecture: • Intake — document arrives by email or upload. • OCR (LlamaParse) — extracts raw text and tables. • Structure (GPT + parser) — turns it into validated, structured fields. • Route + review — sends to Google Sheets / QuickBooks; flags low-confidence items for a human.

🛠 Tools: n8n · LlamaParse / OCR · OpenAI GPT · Structured Output Parser · Google Sheets / QuickBooks

⚙️ Results: Hands-free data entry · validation + confidence flags catch errors before they land · scales with volume instead of headcount.

🌟 Impact: Replaces manual invoice keying with a reliable pipeline — faster books, fewer mistakes, and a human only on the edge cases.