http://wandora.org/w/index.php?action=history&feed=atom&title=Drag_and_drop_extractor 2026-04-18T15:43:51Z Revision history for this page on the wiki MediaWiki 1.19.1 http://wandora.org/w/index.php?title=Drag_and_drop_extractor&diff=11408&oldid=prev 2015-02-04T16:10:13Z

<p>‎<span dir="auto"><span class="autocomment">Alchemy image keywords extractor</span></span></p> <table class='diff diff-contentalign-left'> <col class='diff-marker' /> <col class='diff-content' /> <col class='diff-marker' /> <col class='diff-content' /> <tr valign='top'> <td colspan='2' style="background-color: white; color:black;">← Older revision</td> <td colspan='2' style="background-color: white; color:black;">Revision as of 16:10, 4 February 2015</td> </tr><tr><td colspan="2" class="diff-lineno">Line 27:</td> <td colspan="2" class="diff-lineno">Line 27:</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>== Alchemy image keywords extractor ==</div></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>== Alchemy image keywords extractor ==</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>−</td><td style="background: #ffa; color:black; font-size: smaller;"><div>This example shows how to tag local images with Alchemy image keywords extractor. First, select drop extractor '''Classification &gt; Alchemy image keyword extractor''', then, drop a local image file to the Drop extractor. The Alchemy image keywords extractor asks your personal API key until it proceeds with the extraction. Enter your API key to the input field. If everything went successfully, the user should see Alchemy topic under the Wandora class. Next image views Wandora after two Alchemy image keyword extractions. Notice, Wandora doesn't ask the Alchemy API key after it has entered. To remove the stored API key either restart the application or remove the stored API key by holding CTRL key down <del class="diffchange diffchange-inline">and </del>selecting menu option '''File &gt; Extract &gt; Classifications &gt; Alchemy image keyword extractor...'''.</div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>This example shows how to tag local images with Alchemy image keywords extractor. First, select drop extractor '''Classification &gt; Alchemy image keyword extractor''', then, drop a local image file to the Drop extractor. The Alchemy image keywords extractor asks your personal API key until it proceeds with the extraction. Enter your API key to the input field. If everything went successfully, the user should see Alchemy topic under the Wandora class. Next image views Wandora after two Alchemy image keyword extractions. Notice, Wandora doesn't ask the Alchemy API key after it has entered. To remove the stored API key either restart the application or remove the stored API key by holding CTRL key down <ins class="diffchange diffchange-inline">while </ins>selecting <ins class="diffchange diffchange-inline">top </ins>menu option '''File &gt; Extract &gt; Classifications &gt; Alchemy image keyword extractor...'''.</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>[[File:Drop_extractor_alchemy_image.gif|center]]</div></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>[[File:Drop_extractor_alchemy_image.gif|center]]</div></td></tr> <tr><td class='diff-marker'>−</td><td style="background: #ffa; color:black; font-size: smaller;"><div><del style="color: red; font-weight: bold; text-decoration: none;"></del></div></td><td colspan="2">&#160;</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>== OCR extractor ==</div></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>== OCR extractor ==</div></td></tr> </table>

Akivela http://wandora.org/w/index.php?title=Drag_and_drop_extractor&diff=11407&oldid=prev 2015-02-04T13:42:11Z

<p>‎<span dir="auto"><span class="autocomment">OCR extractor</span></span></p> <table class='diff diff-contentalign-left'> <col class='diff-marker' /> <col class='diff-content' /> <col class='diff-marker' /> <col class='diff-content' /> <tr valign='top'> <td colspan='2' style="background-color: white; color:black;">← Older revision</td> <td colspan='2' style="background-color: white; color:black;">Revision as of 13:42, 4 February 2015</td> </tr><tr><td colspan="2" class="diff-lineno">Line 35:</td> <td colspan="2" class="diff-lineno">Line 35:</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>== OCR extractor ==</div></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>== OCR extractor ==</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>−</td><td style="background: #ffa; color:black; font-size: smaller;"><div>Another image processing drop extractor is [[OCR Extractor|OCR extractor]] that automates text recognition of images. First, ensure you have installed [https://code.google.com/p/tesseract-ocr/ Tesseract OCR engine] and configured Wandora's configuration file '''SetTesseract.sh|bat''' in bin folder. After successful installation and configuration select drop extractor '''Media &gt; OCR extractor''' and drop any image containing text to the Drop extractor. Next image views Wandora after successful OCR extraction. Second column views the extracted [http://wandora.org/wandora/download/other/poster09.gif poster image] and third column the occurrences of extracted topic. Poster image's size was 2481*3391 pixels.</div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>Another image processing drop extractor is [[OCR Extractor|OCR extractor]] that automates text recognition of images. First, ensure you have installed [https://code.google.com/p/tesseract-ocr/ Tesseract OCR engine] and configured Wandora's configuration file '''SetTesseract.sh|bat''' in <ins class="diffchange diffchange-inline">Wandora's '''</ins>bin<ins class="diffchange diffchange-inline">''' </ins>folder. After successful installation and configuration select drop extractor '''Media &gt; OCR extractor''' and drop any image containing text to the Drop extractor. Next image views Wandora after successful OCR extraction. Second column views the extracted [http://wandora.org/wandora/download/other/poster09.gif poster image] and third column the occurrences of extracted topic. Poster image's size was 2481*3391 pixels.</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>[[File:drop_extractor_ocr.gif]]</div></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>[[File:drop_extractor_ocr.gif]]</div></td></tr> </table>

Akivela http://wandora.org/w/index.php?title=Drag_and_drop_extractor&diff=11406&oldid=prev 2015-02-04T13:41:43Z

<p>‎<span dir="auto"><span class="autocomment">OCR extractor</span></span></p> <table class='diff diff-contentalign-left'> <col class='diff-marker' /> <col class='diff-content' /> <col class='diff-marker' /> <col class='diff-content' /> <tr valign='top'> <td colspan='2' style="background-color: white; color:black;">← Older revision</td> <td colspan='2' style="background-color: white; color:black;">Revision as of 13:41, 4 February 2015</td> </tr><tr><td colspan="2" class="diff-lineno">Line 35:</td> <td colspan="2" class="diff-lineno">Line 35:</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>== OCR extractor ==</div></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>== OCR extractor ==</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>−</td><td style="background: #ffa; color:black; font-size: smaller;"><div>Another image processing drop extractor is [[OCR Extractor|OCR extractor]] that automates text recognition <del class="diffchange diffchange-inline">in </del>images. First, ensure you have installed [https://code.google.com/p/tesseract-ocr/ Tesseract OCR engine] and configured Wandora's configuration file '''SetTesseract.sh|bat''' in bin folder. After successful installation and configuration select drop extractor '''Media &gt; OCR extractor''' and drop any image containing text to the Drop extractor. Next image views Wandora after successful OCR extraction. Second column views the extracted [http://wandora.org/wandora/download/other/poster09.gif poster image] and third column the occurrences of extracted topic. Poster image's size was 2481*3391 pixels.</div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>Another image processing drop extractor is [[OCR Extractor|OCR extractor]] that automates text recognition <ins class="diffchange diffchange-inline">of </ins>images. First, ensure you have installed [https://code.google.com/p/tesseract-ocr/ Tesseract OCR engine] and configured Wandora's configuration file '''SetTesseract.sh|bat''' in bin folder. After successful installation and configuration select drop extractor '''Media &gt; OCR extractor''' and drop any image containing text to the Drop extractor. Next image views Wandora after successful OCR extraction. Second column views the extracted [http://wandora.org/wandora/download/other/poster09.gif poster image] and third column the occurrences of extracted topic. Poster image's size was 2481*3391 pixels.</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>[[File:drop_extractor_ocr.gif]]</div></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>[[File:drop_extractor_ocr.gif]]</div></td></tr> </table>

Akivela http://wandora.org/w/index.php?title=Drag_and_drop_extractor&diff=11405&oldid=prev 2015-02-04T13:41:14Z

<p>‎<span dir="auto"><span class="autocomment">OCR extractor</span></span></p> <table class='diff diff-contentalign-left'> <col class='diff-marker' /> <col class='diff-content' /> <col class='diff-marker' /> <col class='diff-content' /> <tr valign='top'> <td colspan='2' style="background-color: white; color:black;">← Older revision</td> <td colspan='2' style="background-color: white; color:black;">Revision as of 13:41, 4 February 2015</td> </tr><tr><td colspan="2" class="diff-lineno">Line 35:</td> <td colspan="2" class="diff-lineno">Line 35:</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>== OCR extractor ==</div></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>== OCR extractor ==</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>−</td><td style="background: #ffa; color:black; font-size: smaller;"><div>Another image processing drop extractor is [[OCR extractor]] that automates text recognition in images. First, ensure you have installed [https://code.google.com/p/tesseract-ocr/ Tesseract OCR engine] and configured Wandora's configuration file '''SetTesseract.sh|bat''' in bin folder. After successful installation and configuration select drop extractor '''Media &gt; OCR extractor''' and drop any image containing text to the Drop extractor. Next image views Wandora after successful OCR extraction. Second column views the extracted [http://wandora.org/wandora/download/other/poster09.gif poster image] and third column the occurrences of extracted topic. Poster image's size was 2481*3391 pixels.</div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>Another image processing drop extractor is [[<ins class="diffchange diffchange-inline">OCR Extractor|</ins>OCR extractor]] that automates text recognition in images. First, ensure you have installed [https://code.google.com/p/tesseract-ocr/ Tesseract OCR engine] and configured Wandora's configuration file '''SetTesseract.sh|bat''' in bin folder. After successful installation and configuration select drop extractor '''Media &gt; OCR extractor''' and drop any image containing text to the Drop extractor. Next image views Wandora after successful OCR extraction. Second column views the extracted [http://wandora.org/wandora/download/other/poster09.gif poster image] and third column the occurrences of extracted topic. Poster image's size was 2481*3391 pixels.</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>[[File:drop_extractor_ocr.gif]]</div></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>[[File:drop_extractor_ocr.gif]]</div></td></tr> </table>

Akivela http://wandora.org/w/index.php?title=Drag_and_drop_extractor&diff=11404&oldid=prev 2015-02-04T13:39:47Z

<p>‎<span dir="auto"><span class="autocomment">OCR extractor</span></span></p> <table class='diff diff-contentalign-left'> <col class='diff-marker' /> <col class='diff-content' /> <col class='diff-marker' /> <col class='diff-content' /> <tr valign='top'> <td colspan='2' style="background-color: white; color:black;">← Older revision</td> <td colspan='2' style="background-color: white; color:black;">Revision as of 13:39, 4 February 2015</td> </tr><tr><td colspan="2" class="diff-lineno">Line 35:</td> <td colspan="2" class="diff-lineno">Line 35:</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>== OCR extractor ==</div></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>== OCR extractor ==</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>−</td><td style="background: #ffa; color:black; font-size: smaller;"><div>Another image processing drop extractor is [[OCR extractor]] that automates text recognition in images. First, ensure you have installed [https://code.google.com/p/tesseract-ocr/ Tesseract OCR engine] and configured Wandora's configuration file '''SetTesseract.sh|bat''' in bin folder. After successful installation and configuration select drop extractor '''Media &gt; OCR extractor''' and drop any image containing text to the Drop extractor. Next image views Wandora after successful OCR extraction. Second column views the extracted [<del class="diffchange diffchange-inline">[poster image|File</del>:<del class="diffchange diffchange-inline">poster9</del>.gif<del class="diffchange diffchange-inline">]</del>] and third column the occurrences of extracted topic. Poster image's size was 2481*3391 pixels.</div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>Another image processing drop extractor is [[OCR extractor]] that automates text recognition in images. First, ensure you have installed [https://code.google.com/p/tesseract-ocr/ Tesseract OCR engine] and configured Wandora's configuration file '''SetTesseract.sh|bat''' in bin folder. After successful installation and configuration select drop extractor '''Media &gt; OCR extractor''' and drop any image containing text to the Drop extractor. Next image views Wandora after successful OCR extraction. Second column views the extracted [<ins class="diffchange diffchange-inline">http</ins>:<ins class="diffchange diffchange-inline">//wandora.org/wandora/download/other/poster09</ins>.gif <ins class="diffchange diffchange-inline">poster image</ins>] and third column the occurrences of extracted topic. Poster image's size was 2481*3391 pixels.</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>[[File:drop_extractor_ocr.gif]]</div></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>[[File:drop_extractor_ocr.gif]]</div></td></tr> </table>

Akivela http://wandora.org/w/index.php?title=Drag_and_drop_extractor&diff=11403&oldid=prev 2015-02-04T13:38:56Z

<p>‎<span dir="auto"><span class="autocomment">OCR extractor</span></span></p> <table class='diff diff-contentalign-left'> <col class='diff-marker' /> <col class='diff-content' /> <col class='diff-marker' /> <col class='diff-content' /> <tr valign='top'> <td colspan='2' style="background-color: white; color:black;">← Older revision</td> <td colspan='2' style="background-color: white; color:black;">Revision as of 13:38, 4 February 2015</td> </tr><tr><td colspan="2" class="diff-lineno">Line 35:</td> <td colspan="2" class="diff-lineno">Line 35:</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>== OCR extractor ==</div></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>== OCR extractor ==</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>−</td><td style="background: #ffa; color:black; font-size: smaller;"><div>Another image processing drop extractor is [[OCR extractor]] that automates text recognition in images. First, ensure you have installed [https://code.google.com/p/tesseract-ocr/ Tesseract OCR engine] and configured Wandora's configuration file '''SetTesseract.sh|bat''' in bin folder. After successful installation and configuration select drop extractor '''Media &gt; OCR extractor''' and drop any image containing text to the Drop extractor. Next image views Wandora after successful OCR extraction. Second column views the extracted [[poster image|<del class="diffchange diffchange-inline">image</del>:poster9.gif]] and third column the occurrences of extracted topic. Poster image's size was 2481*3391 pixels.</div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>Another image processing drop extractor is [[OCR extractor]] that automates text recognition in images. First, ensure you have installed [https://code.google.com/p/tesseract-ocr/ Tesseract OCR engine] and configured Wandora's configuration file '''SetTesseract.sh|bat''' in bin folder. After successful installation and configuration select drop extractor '''Media &gt; OCR extractor''' and drop any image containing text to the Drop extractor. Next image views Wandora after successful OCR extraction. Second column views the extracted [[poster image|<ins class="diffchange diffchange-inline">File</ins>:poster9.gif]] and third column the occurrences of extracted topic. Poster image's size was 2481*3391 pixels.</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>[[File:drop_extractor_ocr.gif]]</div></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>[[File:drop_extractor_ocr.gif]]</div></td></tr> </table>

Akivela http://wandora.org/w/index.php?title=Drag_and_drop_extractor&diff=11402&oldid=prev 2015-02-04T13:38:34Z

<p>‎<span dir="auto"><span class="autocomment">OCR extractor</span></span></p> <table class='diff diff-contentalign-left'> <col class='diff-marker' /> <col class='diff-content' /> <col class='diff-marker' /> <col class='diff-content' /> <tr valign='top'> <td colspan='2' style="background-color: white; color:black;">← Older revision</td> <td colspan='2' style="background-color: white; color:black;">Revision as of 13:38, 4 February 2015</td> </tr><tr><td colspan="2" class="diff-lineno">Line 35:</td> <td colspan="2" class="diff-lineno">Line 35:</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>== OCR extractor ==</div></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>== OCR extractor ==</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>−</td><td style="background: #ffa; color:black; font-size: smaller;"><div>Another image processing drop extractor is [[OCR extractor]] that automates text recognition in images. First, ensure you have installed [https://code.google.com/p/tesseract-ocr/ Tesseract OCR engine] and configured Wandora's configuration file '''SetTesseract.sh|bat''' in bin folder. After successful installation and configuration select drop extractor '''Media &gt; OCR extractor''' and drop any image containing text to the Drop extractor. Next image views Wandora after successful OCR extraction. Second column views the extracted [[poster image|poster9.gif] and third column the occurrences of extracted topic. Poster image's size was 2481*3391 pixels.</div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>Another image processing drop extractor is [[OCR extractor]] that automates text recognition in images. First, ensure you have installed [https://code.google.com/p/tesseract-ocr/ Tesseract OCR engine] and configured Wandora's configuration file '''SetTesseract.sh|bat''' in bin folder. After successful installation and configuration select drop extractor '''Media &gt; OCR extractor''' and drop any image containing text to the Drop extractor. Next image views Wandora after successful OCR extraction. Second column views the extracted [[poster image|<ins class="diffchange diffchange-inline">image:</ins>poster9.gif<ins class="diffchange diffchange-inline">]</ins>] and third column the occurrences of extracted topic. Poster image's size was 2481*3391 pixels.</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>[[File:drop_extractor_ocr.gif]]</div></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>[[File:drop_extractor_ocr.gif]]</div></td></tr> </table>

Akivela http://wandora.org/w/index.php?title=Drag_and_drop_extractor&diff=11401&oldid=prev 2015-02-04T13:38:08Z

<p>‎<span dir="auto"><span class="autocomment">OCR extractor</span></span></p> <table class='diff diff-contentalign-left'> <col class='diff-marker' /> <col class='diff-content' /> <col class='diff-marker' /> <col class='diff-content' /> <tr valign='top'> <td colspan='2' style="background-color: white; color:black;">← Older revision</td> <td colspan='2' style="background-color: white; color:black;">Revision as of 13:38, 4 February 2015</td> </tr><tr><td colspan="2" class="diff-lineno">Line 35:</td> <td colspan="2" class="diff-lineno">Line 35:</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>== OCR extractor ==</div></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>== OCR extractor ==</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>−</td><td style="background: #ffa; color:black; font-size: smaller;"><div>Another image processing drop extractor is [[OCR extractor]] that automates text recognition in images. First, ensure you have installed [https://code.google.com/p/tesseract-ocr/ Tesseract OCR engine] and configured Wandora's configuration file '''SetTesseract.sh|bat''' in bin folder. After successful installation and configuration select drop extractor '''Media &gt; OCR extractor''' and drop any image containing text to the Drop extractor. Next image views Wandora after successful OCR extraction. Second column views the extracted [[poster image|<del class="diffchange diffchange-inline">image:</del>poster9.gif] and third column the occurrences of extracted topic. Poster image's size was 2481*3391 pixels.</div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>Another image processing drop extractor is [[OCR extractor]] that automates text recognition in images. First, ensure you have installed [https://code.google.com/p/tesseract-ocr/ Tesseract OCR engine] and configured Wandora's configuration file '''SetTesseract.sh|bat''' in bin folder. After successful installation and configuration select drop extractor '''Media &gt; OCR extractor''' and drop any image containing text to the Drop extractor. Next image views Wandora after successful OCR extraction. Second column views the extracted [[poster image|poster9.gif] and third column the occurrences of extracted topic. Poster image's size was 2481*3391 pixels.</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>[[File:drop_extractor_ocr.gif]]</div></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>[[File:drop_extractor_ocr.gif]]</div></td></tr> </table>

Akivela http://wandora.org/w/index.php?title=Drag_and_drop_extractor&diff=11400&oldid=prev 2015-02-04T13:37:52Z

<p>‎<span dir="auto"><span class="autocomment">OCR extractor</span></span></p> <table class='diff diff-contentalign-left'> <col class='diff-marker' /> <col class='diff-content' /> <col class='diff-marker' /> <col class='diff-content' /> <tr valign='top'> <td colspan='2' style="background-color: white; color:black;">← Older revision</td> <td colspan='2' style="background-color: white; color:black;">Revision as of 13:37, 4 February 2015</td> </tr><tr><td colspan="2" class="diff-lineno">Line 35:</td> <td colspan="2" class="diff-lineno">Line 35:</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>== OCR extractor ==</div></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>== OCR extractor ==</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>−</td><td style="background: #ffa; color:black; font-size: smaller;"><div>Another image processing drop extractor is [[OCR extractor]] that automates text recognition in images. First, ensure you have installed [https://code.google.com/p/tesseract-ocr/ Tesseract OCR engine] and configured Wandora's configuration file '''SetTesseract.sh|bat''' in bin folder. After successful installation and configuration select drop extractor '''Media &gt; OCR extractor''' and drop any image containing text to the Drop extractor. Next image views Wandora after successful OCR extraction. Second column views the extracted poster image and third column the occurrences of extracted topic. Poster image's size was 2481*3391 pixels.</div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>Another image processing drop extractor is [[OCR extractor]] that automates text recognition in images. First, ensure you have installed [https://code.google.com/p/tesseract-ocr/ Tesseract OCR engine] and configured Wandora's configuration file '''SetTesseract.sh|bat''' in bin folder. After successful installation and configuration select drop extractor '''Media &gt; OCR extractor''' and drop any image containing text to the Drop extractor. Next image views Wandora after successful OCR extraction. Second column views the extracted <ins class="diffchange diffchange-inline">[[</ins>poster image<ins class="diffchange diffchange-inline">|image:poster9.gif] </ins>and third column the occurrences of extracted topic. Poster image's size was 2481*3391 pixels.</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>[[File:drop_extractor_ocr.gif]]</div></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>[[File:drop_extractor_ocr.gif]]</div></td></tr> </table>

Akivela http://wandora.org/w/index.php?title=Drag_and_drop_extractor&diff=11399&oldid=prev 2015-02-04T13:35:39Z

<p>‎<span dir="auto"><span class="autocomment">OCR extractor</span></span></p> <table class='diff diff-contentalign-left'> <col class='diff-marker' /> <col class='diff-content' /> <col class='diff-marker' /> <col class='diff-content' /> <tr valign='top'> <td colspan='2' style="background-color: white; color:black;">← Older revision</td> <td colspan='2' style="background-color: white; color:black;">Revision as of 13:35, 4 February 2015</td> </tr><tr><td colspan="2" class="diff-lineno">Line 36:</td> <td colspan="2" class="diff-lineno">Line 36:</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>Another image processing drop extractor is [[OCR extractor]] that automates text recognition in images. First, ensure you have installed [https://code.google.com/p/tesseract-ocr/ Tesseract OCR engine] and configured Wandora's configuration file '''SetTesseract.sh|bat''' in bin folder. After successful installation and configuration select drop extractor '''Media &gt; OCR extractor''' and drop any image containing text to the Drop extractor. Next image views Wandora after successful OCR extraction. Second column views the extracted poster image and third column the occurrences of extracted topic. Poster image's size was 2481*3391 pixels.</div></td><td class='diff-marker'>&#160;</td><td style="background: #eee; color:black; font-size: smaller;"><div>Another image processing drop extractor is [[OCR extractor]] that automates text recognition in images. First, ensure you have installed [https://code.google.com/p/tesseract-ocr/ Tesseract OCR engine] and configured Wandora's configuration file '''SetTesseract.sh|bat''' in bin folder. After successful installation and configuration select drop extractor '''Media &gt; OCR extractor''' and drop any image containing text to the Drop extractor. Next image views Wandora after successful OCR extraction. Second column views the extracted poster image and third column the occurrences of extracted topic. Poster image's size was 2481*3391 pixels.</div></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;">[[File:drop_extractor_ocr.gif]]</ins></div></td></tr> </table>

Akivela