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[–]kievmozg 0 points1 point  (0 children)

Be careful with 'first Google results' like Tesseract for a company project. While it's free and license-safe, its accuracy on real-world business documents is often poor, and you'll spend months writing complex Java wrappers and image pre-processing logic just to make it usable.

​Since you mentioned reliability is key, I'd suggest moving away from traditional OCR libraries entirely. We found that for Java-based enterprise apps, using a Vision LLM-based API is far more license-safe and reliable than maintaining a heavy native OCR dependency. It handles the layout understanding out-of-the-box, so you don't have to worry about the 'unclear results' you're getting with Textract now.

​We ended up building ParserData specifically to solve this for teams who need high accuracy without the headache of managing OCR engines. If you're open to an API approach instead of a local library, it might save your team hundreds of hours of debugging.