Have a look at Kraken which has many state-of-the-art models for both HTR and OCR
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I use ocrmypdf, after being a bit frustrated with gscan2pdf. There is a simple ui available, but I just created a tiny script that does the ocr , deskew, etc. In one operation with wildcard file selection.
I also installed a jbig compressor that really shrinks images. My processed docs are generally 40% to 80% smaller, and it seems to get better tesseract output than gscan does.
@hedge If the font is “strange”, you may try Ocular OCR. Intended for historical books, has a possibility to learn new fonts.
Thanks to @ZickZack@kbin.social, @brie@venera.social, & @bownage@beehaw.org for their responses. I forgot that Tesseract is mainly used from the command line; something which, despite being a Linux person, I'm not super proficient with. It looks like gscan2pdf and Master PDF OCRs got different results despite, I think, both using the same version of Tesseract.
despite, I think, both using the same version of Tesseract.
So difference must be in the settings, which you can achieve both by using tesseract directly