My master thesis[1] was about OCRing a multilingual dictionary (Vietnamese-French using Nôm characters) and I got the following results, using built-in language

My master thesis[1] was about OCRing a multilingual dictionary (Vietnamese-French using Nôm characters) and I got the following results, using built-in language model: - OCR for French is very good - OCR for Vietnamese (latin characters) was dispointing - OCR for Chinese indeed outout Chinese characters but not the good ones - OCR for Chinese didn't handle letters in Chinese script - no support for Vietnamese Nôm (not suprising) The good news is: - you can train new language model - the software is built on a (clean?) API you can use yourself - there is some usable documentaition to get started & also for training models - headers files are well commented So this enable one to build a solution on Tesseract, but this is by no way an out-of-the-box solution especially if you have very specific needs. All in one it is the best free (libre, 0$) OCR engine out there. [1] http://crim.fr/sites/default/files/memoire_m2_Lecailliez_final_v1.00.pdf http://crim.fr/sites/default/files/memoire_m2_Lecailliez_fin... [French]