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TextRipper (aka T-Rip)

   2.0  

CLI other text tool

Score 56%
TextRipper (aka T-Rip)
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TextRipper (aka T-Rip)
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TextRipper (aka T-Rip)
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Downloads:  188
Submitted:  Sep 18 2010
Updated:  Jan 14 2011

Description:

An OCR, Optical Character Recognition, gui application or cli script
# Supports the Tesseract engine by default!
# Optionally supports the Ocrad engine for multi-column text.
# These recognition engines have a very high character recognition success rate compared to other OCR's, including proprietary software.
# New: multi-page and multiple file selection support!
# Enhanced XSANE output and TIFF compatibility.
# New: now handles nearly any format out there!
# This script will convert any image of text into editable and indexable text. (for a full list of compatible file formats see the first filter below)
#
# REM: The better/cleaner/higher contrasted/higher resolution your image or scan is the better the results
#
# Dependencies: libtiff-dev (or -devel)(installed FIRST), tesseract-2.04 (latest stable-version), your chosen language data for Tesseract (2.00 and up) *1,
# ImageMagick, ghostscript, Zenity, and OpenOffice or other text editor *2
# This version of tesseract can be downloaded from here: http://code.google.com/p/tesseract-ocr/downloads/list
# Warning: This script will not work with the latest beta version (tesseract 3.00 pre-release) due to database structure modifications.
#
# Optional dependencies: ocrad ->an alternate recognition engine
# If inital results are unsatisfactory, maybe this engine will do better. Most importantly, it supports basic page format recognition. *3
# The latest version of ocrad can be downloaded off the GNU mirror list here: http://www.gnu.org/software/ocrad/
#
# Also: Make sure to select Unicode UTF-8 in OpenOffice's pop-up window (or text editor of your choice).
#
#
#
# *1 Install Tesseract after libtiff-dev. Then extract all the language databases you need into the "wherever_you_installed/tesseract-2.04/tessdata" directory.
# This is done automatically if you extract the language databases from WITHIN the "tesseract-2.04" directory (and allow overwriting).
# This script allows the use of multiple language databases. Default is English and French. For adding others see comments below.
# You NEED at least one language database or tesseract will not work.
# *2 Simply change the occurance of "soffice -writer" below to a text editor of your choice, ie: gedit, KWrite, etc
# Some systems call on OpenOffice Writer differently. If unsure, check the properties tab of your Writer launcher.
# Ie: On customized versions of OOo (such as the ones provided by Linux Mandrake or Gentoo), you start Writer with: oowriter
# *3 If you install ocrad also, TextRipper will recognize this and prompt you to choose between the two offering better recognition or page format support
#
# Troubleshooting:
# If this script ends saying your text editor can't open "OCR output-editable text.txt",
# or if run off the cli: Unable to load unicharset file /usr/local/share/tessdata/eng.unicharset
# do (as superuser):
# echo /usr/local/share /usr/share | xargs -n 1 cp -R wherever_you_installed/tesseract-2.04/tessdata
# Explanation: Tesseract may call on the tessdata directory from the /share directory of your filesystem,
# so you need to make your language databases available from there.




LicenseGPL
(TextRipper)
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 Bad recognition

 
 by YAFU on: Sep 19 2010
 
Score 50%

I have tried with an image that contains only text, with:
./script.sh image_name.png

selecting utf-8 in OpenOffice, and I get a bad recognition, unintelligible text and symbols. I am using the latest version of ocrad. Am I doing something wrong?
Thanks.


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 Re: Bad recognition

 
 by kickass on: Sep 19 2010
 
Score 50%

If your text editor ends showing something, anything, you're doing it right. Now, that means the problem is the source file. Attempt to use GIMP to save it as a .pnm format. If this fails here are a few pointers:
1) Latin characters, right? Not Korean or something like that.
2) Resolution? Contrast? The higher the better. Grayscale better than color.
3) Clean original, not smudged or spotted.
4) 1 column and 1 page. If you have say a 2 column format then use GIMP to crop to 2 separate pages and save as .pnm.
5) I'm converting non-pnm class images with ImageMagick. Do you have that installed?
If you want/can, you may send me your image and I'll see what I can do with it.


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 Re: Re: Bad recognition

 
 by YAFU on: Sep 19 2010
 
Score 50%

Hello.
I have installed ImageMagick and zenity.
I have used this screen capture:
http://img819.imageshack.us/img819/6227/testvo.jpg

and with OpenOffice and Kate I get similar results. I use latin characters, my locale is es_AR.
I have tested with the same image in png and pnm too.


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 Re: Bad recognition

 
 by kickass on: Sep 20 2010
 
Score 50%

Hello: Yafu
Okay the source file has a very low resolution. You will notice this zooming in (either ctrl+scroll or in GIMP).
I did however improve on the app.
Ver. 1.1 will give you a workable output even from this low-res image. Sorry about wasting your time with installing a new recognition engine, but the results are even better. The thing is, this app is being very successful and I'm being swarmed with emails among of which are many useful comments.
d.


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 Re: Re: Bad recognition

 
 by YAFU on: Sep 21 2010
 
Score 50%

Much better with this engine. No waste of time for me, I like to try new programs or scripts. Thanks for the time you have taken in developing the script..
I also believe that in Linux we are far from the recognition capabilities of other software such as Acrobat. If you have some knowledge and are interested you can collaborate with the project "gscan2pdf"
Regards.


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 Re: Ver. 2.0

 
 by kickass on: Sep 21 2010
 
Score 50%

Just to let you know, I'm working on doing the nearly impossible: extract text from multi-paged pdf's using my same fast and easy do it all script.
Thanks for your feedback. I'll chk out the project.
d.


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 Re: Re: Re: Bad recognition

 
 by kickass on: Dec 10 2010
 
Score 50%

Just to let you know that I uploaded TextRipper, the new improved version of Text Recognition. Hope you like it.
d.


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