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> <channel><title>gHacks Technology News &#124; Latest Tech News, Software And Tutorials &#187; document imaging</title> <atom:link href="http://www.ghacks.net/tag/document-imaging/feed/" rel="self" type="application/rss+xml" /><link>http://www.ghacks.net</link> <description>A technology news blog covering software, mobile phones, gadgets, security, the Internet and other relevant areas.</description> <lastBuildDate>Sat, 11 Feb 2012 09:52:46 +0000</lastBuildDate> <language>en</language> <sy:updatePeriod>hourly</sy:updatePeriod> <sy:updateFrequency>1</sy:updateFrequency> <generator>http://wordpress.org/?v=3.3.1</generator> <atom:link rel="hub" href="http://pubsubhubbub.appspot.com"/><atom:link rel="hub" href="http://superfeedr.com/hubbub"/> <item><title>Document Imaging Software JOCR</title><link>http://www.ghacks.net/2009/03/15/document-imaging-software-jocr/</link> <comments>http://www.ghacks.net/2009/03/15/document-imaging-software-jocr/#comments</comments> <pubDate>Sun, 15 Mar 2009 19:11:37 +0000</pubDate> <dc:creator>Martin Brinkmann</dc:creator> <category><![CDATA[Software]]></category> <category><![CDATA[Windows]]></category> <category><![CDATA[document imaging]]></category> <category><![CDATA[document imaging software]]></category> <category><![CDATA[jocr]]></category> <category><![CDATA[microsoft-office]]></category> <category><![CDATA[ocr]]></category> <category><![CDATA[office tools]]></category> <category><![CDATA[portable software]]></category> <category><![CDATA[windows software]]></category> <guid
isPermaLink="false">http://www.ghacks.net/?p=11247</guid> <description><![CDATA[JOCR is a specialized optical character recognition (ocr) software that can recognize characters from images taken on the computer&#8217;s desktop. Before we delve into the functionality it should be noted that JOCR requires the Microsoft Office Document Imaging component which is a component of Microsoft Office 2003 and never Office versions. The Office Tool has [...]]]></description> <content:encoded><![CDATA[<p>JOCR is a specialized optical character recognition (ocr) software that can recognize characters from images taken on the computer&#8217;s desktop. Before we delve into the functionality it should be noted that JOCR requires the Microsoft Office Document Imaging component which is a component of Microsoft Office 2003 and never Office versions. The Office Tool has to be installed for JOCR to function.</p><p>JOCR itself is a portable software program. The interface looks like screen capturing software programs. It offers to capture a region, the desktop or the active window. The image will then be displayed in the program&#8217;s interface with options to print, copy or recognize.</p><p>Recognizing is obviously the main part as it will analyze the image at hand to recognize all the characters that it contains. The document imaging software will then display the recognized characters count and display them in the default text editor from where they can be edited or copied easily.</p><p><span
id="more-11247"></span><img
src="http://www.ghacks.net/wp-content/uploads/2009/03/document_imaging_software-500x293.jpg" alt="document imaging software" title="document imaging software" width="500" height="293" class="alignnone size-medium wp-image-11248" /></p><p>The document imaging software can be useful in situations where text has to be copied from interface elements. This can be error messages, text that is displayed in applications or images. The recognition rate depends largely on the type of image and text used. It ranges from brilliant (almost no editing required) to weak (failed to recognize certain characters, lots of editing required).</p><p>JOCR is compatible with the following languages: Chinese, Czech, Danish, Dutch, English, Finnish, French, German, Greek, Hungarian, Italian, Japanese, Korean, Norwegian, Polish, Portuguese, Russian, Spanish, Swedish, Turkish.</p> ]]></content:encoded> <wfw:commentRss>http://www.ghacks.net/2009/03/15/document-imaging-software-jocr/feed/</wfw:commentRss> <slash:comments>7</slash:comments> </item> </channel> </rss>
