The user review feature of OCR allows limited correction of Acrobat's low-confidence recognition instances. After--or separate from--that process, users should be allowed to correct any recognized text--often, even when using the review feature, words are broken up, making search difficult. Users should be able to combine or split Acrobat's character groupings--to separate or connect those text blocks to match the word / sentence structure for proper searching. Basic Machine Learning (and even decades old OCR) used dictionary matching to help assess the probability of correct interpretation--this also should be able to determine that "correction" is a more likely translation than "cor" "rection". Even if it didn't users, should be able to link the two to one word--or split "userreview" to "user" "review". (Hypothetical examples but very similar to actual document translation at 300ppi high-contrast, high quality, black and white, no background.)