Can Your LLM Handle an Invoice? I Tested 5—Here’s the Truth

I tested 5 leading AI models—AWS Textract, Azure Document Intelligence, Google Document AI, GPT-4o, and Gemini 1.5 Pro—on real-world business tasks: extracting fields from invoices and parsing messy tables. Key insights: 1. Gemini was the best all-around — fast, accurate, and sharp on structure. 2. GPT-4o nailed invoices, choked on tables. 3. AWS Textract was fast, rigid, and hard to break. 4. Azure got the basics right, but nothing more. 5. Google struggled with anything that wasn’t clean and labeled. No model handled everything. A few handled enough. If you're building with AI, test first — or plan to clean up later.

AI models are great at writing poems, summarizing emails, or pretending to be philosophers. But can they extract a due date from an invoice? Can they understand a broken table with merged cells and half-missing headers?

That’s what I ...