The Problem With Vision Language Models

If you're using vision language models for document extraction, there's something you need to know. While models like Gemini, GPT-5, and Mistral are incredibly powerful, they are by their very nature generative. They're not extracting text, they're predicting text based on what they see. This can work very well for messy scans or handwriting, but it can also lead to hallucinations. For a lot of use cases, that's fine. But if you need verbatim scans and exact data extraction, the predictive nature of these models is probably not good enough. This is where tools like Docling come in. Docling…