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https://issues.apache.org/jira/browse/TIKA-93?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14132881#comment-14132881
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Tyler Palsulich commented on TIKA-93:
-------------------------------------

I've started working on this again. It works well when Tesseract is installed 
and configured properly, but how should we handle when it's not installed? My 
thinking was changing `TesseractOCRParser` to extend `ExternalParser` and add a 
call to `ExternalParser.check()` before anything in 
`TesseractOCRParser.doOCR()`. Then, if `tesseract` fails the check, `throw new 
TikaException("Tesseract is unavailable")`.

I'm having two problems with this solution. One, `TikaException`s are also 
thrown if OCR times out. So, the exceptions could be more granular. Two, even 
if we throw a `TikaException` from `TesseractOCRParser.parse()` (possibly 
bubbled up from a `doOCR()` call), the exception is caught (somewhere) before 
reaching the top call from a unit test... So, we can't check we should actually 
fail the test or not.

Any thoughts on this? The main blocker right now is unit tests -- they pass 
when Tesseract is installed, fail when it isn't. How should we handle that?

> OCR support
> -----------
>
>                 Key: TIKA-93
>                 URL: https://issues.apache.org/jira/browse/TIKA-93
>             Project: Tika
>          Issue Type: New Feature
>          Components: parser
>            Reporter: Jukka Zitting
>            Assignee: Chris A. Mattmann
>            Priority: Minor
>             Fix For: 1.7
>
>         Attachments: Petr_tika-config.xml, TIKA-93.patch, TIKA-93.patch, 
> TIKA-93.patch, TIKA-93.patch, TesseractOCRParser.patch, 
> TesseractOCRParser.patch, TesseractOCR_Tyler.patch, 
> TesseractOCR_Tyler_v2.patch, testOCR.docx, testOCR.pdf, testOCR.pptx
>
>
> I don't know of any decent open source pure Java OCR libraries, but there are 
> command line OCR tools like Tesseract 
> (http://code.google.com/p/tesseract-ocr/) that could be invoked by Tika to 
> extract text content (where available) from image files.



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