Video: Use The Fujitsu ScanSnap And A Highlighter To Extract Keywords

Video: Use The Fujitsu ScanSnap And A Highlighter To Extract Keywords

HighlightersThis video on using a highlighter with a Fujitsu ScanSnap to extract keywords is part of a series of quick videos on paperless tips and topics. View more in the series here.

The ScanSnap has a cool but (in my opinion) underused feature where you can use a highlighter on some text on a piece of paper, and then ScanSnap Manager will extract that text as keywords and embed them in the PDF file.

I wrote about doing this with Hazel on the Mac before, but here is how the keyword process works in video format. It works on both Mac and Windows with 2009-or-later ScanSnaps like the ScanSnap S1500, S1500M, S1300, or S1100.

By the way, I forgot to mention in the video, this works best on black & white documents. If a document is too busy or colorful, the scanner will get confused and won’t be able to isolate the keywords.

View the video below, or click here to watch it on YouTube. If you are able to, I recommend that you watch it with HD turned on.

(Photo by

About the Author

Brooks Duncan helps individuals and small businesses go paperless. He's been an accountant, a software developer, a manager in a very large corporation, and has run DocumentSnap since 2008. You can find Brooks on Twitter at @documentsnap or @brooksduncan. Thanks for stopping by.

Leave a Reply 1 comment

Aaron Parr - January 2, 2013 Reply

It would be very nice if the entire text of a document could be search against a list of potential keywords which would be automatically assigned if they were found in the document. In most cases a persons bills and other documents have a unique string that can be used to identify them. For example my gas bill is from a company Queststar. This is certainly unique and if Queststar was in my list of potential keywords it would be automatically applied. With this feature and a set of distribute rules the Software would be much more powerful and automatic for scanning and automatically filing documents.

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