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

If you build with Next.JS, check out https://quest.ai. It converts figma designs into Next.JS automatically. Disclosure: I'm one of the makers of quest.ai. Source: about 1 year ago

Can I make a recommendation to add https://quest.ai to the list. Generates React/NestJS components from your designs. Source: about 1 year ago

Since you are a full stack developer, check out https://quest.ai. Generates React code components from Figma files. For websites, you can export as NextJS and host in vercel or anywhere. You have full control over the code, which developers typically want. Source: over 1 year ago

Take a look at how customers are using Quest:. Source: over 1 year ago

If you are building in React, try https://quest.ai. Gives you pixel-match code for your Figma design. Perfect for many backend devs. Source: over 1 year ago