My company uses the services of, and has some sort of partnership with, a company that makes it's business out of parsing CVs.
Recently we've seen a surge in CVs that after parsing return no name and / or no email, or the wrong data is being fetched (usually, from referees).
So, out of curiosity I took one (So far) pdf and extracted the text with python.
Besides the usual stuff that is already known (As in, the text is extracted as found, e.g., if you have 2 columns the lines of text will appear after the line at the same level in the document that is in the other column) what I found - obviously take this with a grain of salt as this is all anecdotally so far - is that some parts of the document have spaces between the characters, e.g.:
D O N A L D T R U M P
P r e s i d e n t o f t h e U n i t e d S t a t e s o f A m e r i c a
These CVs have the characteristics to be highly graphical. Also anecdotally, the metadata in the CV I parsed stated it was from Canvas [1]
https://www.canva.com/templates/EAD7WY_6Ncs-navy-blue-and-bl...