Optical Character Recognition is one of those technologies which has gone from being just-about-possible at great expense and hassle, to so mainstream that people just assume it will work flawlessly, all in a relatively few years. Numerous companies offer OCR services or addins to line-of-business systems which help to prepare printed data for easier consumption – scanning invoices for example.
Consumers tend to use OCR in other ways; combined with language translation, you can point your phone at a foreign menu or sign and it may be able to help you understand. In OneNote, if you have captured an image (maybe through the clipper addin from your browser), then it can extract the text from that picture – not always perfectly, and not necessarily well-formatted, but it’s probably quicker than re-typing everything.
Near OCR functionality is also pervading the slew of freely available Office apps for Android tablets, phones and even Chromebooks, and similar versions for iPad and iPhone.
A recent addition to the iOS version of Excel is the ability to scan a table of printed data and use OCR plus a bit of tweaking, to import the data into the spreadsheet. See more here. The same functionality was first made available on Android a couple of months earlier …
Start with the grid capture icon on the toolbar of a new spreadsheet, and then use the camera to highlight the area of a document that you’re interested in – the UI will be familiar to anyone who uses Office Lens, as the same anti-skewing technology is used to prepare the “document” for importing.
Then the OCR goes to work and tries to lay out the data as closely as possible to its source – obviously, your accuracy will be improved by having a well-lit and clear original document, and you’ll get to tweak the contents in context of seeing the OCR’d data and the scan at the same time, before committing to insert it.