Settings and activity
5 results found
-
3 votes
mcmca
shared this idea
·
-
2 votesmcmca
shared this idea
·
-
12 votesmcmca
supported this idea
·
An error occurred while saving the comment -
2 votesmcmca
supported this idea
·
-
5 votesmcmca
supported this idea
·
Considering this is a 3-year-old post, I'd have to say the feature has not advanced while other OCR tools have, even those on handheld devices. Basic machine learning should be able to discern that it's more likely that Cu&t0d1an is a dictionary word than its low-probability translation--especially if considering "known" error rates of misreading zero versus "O" and one versus "I" or "l" or even "!"--and the manual review process would allow the user to correct it if it were an outlier case of mixed character types. As a "Pro" tool from the premier document company, I'm surprised at the lack of attention this vital tool receives.