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Hey, I’ve spent quite a bit of time looking at extracting text as accurately as possibly from PDFs, it’s turns out that it is not as simple as it might seem. It is especially tricky once you get a wide variety of PDFs (including PDFs with image based text or tables). While I unfortunately cannot share the code I used to extract this text, I will tell you that for what I think your doing, the best solution will require a few things. First you should pick a good module. I’ve spent a long time going over open source solutions to this and the best two I’d say are Excalibur and Apache Tika .
website with online demo https://www.jaided.ai/easyocr/ (you can upload your images there)
I'd recommend trying py-pdf-parser [0] - it allows you to fetch data from documents based on text "markers". E.g. you can easily find data, located to the right of "EMAL FROM:" text [0] - https://github.com/jstockwin/py-pdf-parser
One of the tools I'm excited about (but haven't used in production) is LayoutParser. It's open-source, and can do some document image analysis especially on non-generic docs.