If you own a Mac, you can just export all files into PDFs and use a free OCR tool called OwlOCR to make your pdf readable. Import it to other apps and voilà, you have all your notes that are ready to go. Source: 9 months ago

I use a free app, OwlOCR, for OCRing image files on Mac. Source: almost 2 years ago

OwlOCR ($13.99) - OCR for images, pdfs, QR code, and anything on screen. Source: almost 2 years ago

Data structure and customised database was more paramount for me than OCR search. Hence, I went with Notion. But If I need OCR I use OwlOCR. https://owlocr.com/. Source: over 2 years ago

Do fuzzy matching (something like fuzzywuzzy maybe) to see if the the words line up (allowing for wrong words). You'll need to work out how to use scoring to work out how well aligned the two lists are. Source: over 1 year ago

Convert the original lines to full furigana and do a fuzzy match. (For reference, the original line is 貴方がこれまでに得てきた力、存分に発揮してくださいね。) You can do a regional search using the initial scene data (E60) first, and if the confidence is low, go for a slower full search. Source: over 1 year ago

It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: about 2 years ago

You can have a look at this library to use fuzzy search instead of looking for plaintext muck: https://github.com/seatgeek/fuzzywuzzy. Source: over 2 years ago

To deal with comparing the string, I found FuzzyWuzzy ratio function that is returning a score of how much the strings are similar from 0-100. Source: almost 3 years ago