- this however doesn't work really well for structured text like code

- what are some absolutely state of the art self hostable OCR models out there capable of extracting code from text with very high levels of accuracy

- I have tried tesseract currently and it is not very good with this. Even if you are not familiar with any other model, perhaps you can suggest a pipeline for tesseract that I can follow to improve the accuracy of the extraction process

- Currently, my pipeline looks like this:

- for every input image, check if the image is light text on dark background or dark text on light background

- as you know tesseract is trained from mostly dark text on light background so I invert the images with dark background before processing them with tesseract

- are there other processes you think that I need to include?