PDF OCR X Community Edition

Version: 2.0.8 || Release Date: 2013-11-15 || License: Freeware Developer: Web Lite Solutions Corp. | App Owner: shannah

PDF OCR is a simple drag-and-drop utility for Mac OS X, that converts your PDFs into text documents.

PDF OCR is a simple drag-and-drop utility for Mac OS X, that converts your PDFs and images into text documents. It uses advanced OCR (optical character recognition) technology to extract the text of the PDF or image even if that text is contained in an image. This is particularly useful for dealing with PDFs that were created via a Scan-to-PDF function in a scanner or photo copier.

The Community Edition supports images and single-page PDFs. For multi-page PDFs you should upgrade to the Enterprise Edition.

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16 Opinions

Since the ocr engine is tesseract http://code.google.com/p/tesseract-ocr/ it has the same weakness and advantages as such and having worked with it in a couple of projects myself i like it, tesseract that is, not this program. But i could have forked over 30 dollar's on this if the author had at least taken the time to build a good gui around these opensource components. But he hasn't even bothered to do that. So honestly, save your money and spend it on something else instead.

This is not freeware! And the "download" link is really a link to the developers homepage. Please add it to iusethis properly!

same results with v. 1.4.1 . I've tried a few files now & get nothing but a blank text file.

same results with v. 1.4.1 . I've tried a few files now & get nothing but a blank text file.

This program builds on a lot of old but very good open source projects - Tesseract, ImageMagick primarily (hence the huge download size)- and wraps them in a droplet that looks to be created with Platypus. It's a great idea & I'd be happy to pay the dev. $29 for the work involved in packaging ... but the test file I tried just gave a blank text file as output.

This is not exactly freeware: the free "community version" is crippled, allowing only 1 page to be converted to text.

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