![]() Scanning the entire text will still be necessary (like for the "13"s that become "B"s. This is not a perfect solution it is impossible to be aware of every possible error that OCR might make from an older PDF, but it can help streamline some parts of the process. Since all of the matches are listed in the sidebar, you will be able to go through each one and see which ones need fixing and which ones can be left alone. So perform searches for words like "dose" and "due", scan through the results, and replace the erroneous instances with "close" and"clue". ![]() Using Find & Replace in the sidebar is a particularly good way to look for this type of error because not all instances of the word will be errors. SOLUTION: The first step to solving this is noticing it - hopefully something like this will jump out at you as you go through the text. PROBLEM: OCR did an imperfect job of recognizing the text, so words like "close" and "clue" have been rendered as "dose" and "due", or "13" has been rendered as "B"
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