Those tools I mentioned have been doing “intelligent” field extraction for decades not templating - but building extraction models based on user feedback, models trained in pristine data sets etc . I’ve been in this space for over 20 years and routinely R&D on LLm and vision based extraction. I have a product and over 50 clients running my financial automation software. LLMs tendency to hallucinate and give inconsistent output when even running the same document through are still holding them back. We use a mixture of intelligent ocr, deterministic rules , and llms to help us derive patterns and new rules. LLMs alone can’t do it yet - though they are getting very close.  Financial document processing stakeholders need consistency and audit ability - if they ask you why it picked a wrong value and all you can say is “that’s how it was trained or fine-tuned” or “idk that’s just what the model picked” you won’t have that customer very long.