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My LLM extraction gets every field right and still attaches it to the wrong person on the page.
What you'll have at the end
A short table showing which of your own documents extracted cleanly with OCR, which needed the vision model, and why.
You need
You already have both an OCR engine and a vision-capable model callable on a document image, and you have a handful of your own document types on hand to test with.
Not covered
Building a pipeline that routes documents between OCR and a vision model automatically, and picking which specific OCR engine or vision-capable model to use.
Leans on
Pull every field off a handwritten form into clean JSON
once this recipe sends you to the vision model for a messy document, that recipe covers catching the specific fields it still gets wrong.
Turn an org chart image into a JSON reporting hierarchy
when the ownership question is really about reporting hierarchy rather than which block of the page a value sits in, that recipe covers turning that structure into JSON directly.
Checked 18 Aug 2026
Part of the Multimodal AI cookbook