Anecdotal as I haven't had time for a full benchmark, but I have a dense tabular handwritten form that is pretty challenging: LLMs with vision don't do well because the content isn't English words. Textract did poorly because it was just too dense for their model (although I haven't tried recently) Whereas I tried this model and it was a champ: Reasonable Markdown format with accurate content.
faced something similar with Azure, try upscaling the page (2x or more) before sending to the OCR, it increased the accuracy a lot for tiny tables on landscape pages.
