Google Tesseract Ocr Windows Download
Hortensia Osol
I am currently working on optimal character recognition project using python 2.7,open computer vision in windows.To accomplish this task i came to know that it can be done by using tesseract (software).But, it cannot be installed on windows. I searched a lot but i could not get the solution. Can any one tell me is there any way of installing it on windows ?or can it be done without using it?
What is "-tesseract"? No idea. I've looked all over that page, other pages, searched online, etc. No clue. Not as much as a single word explaining what the difference is or what "tesseract" means. Wikipedia's disambiguation page also lends no hint as to what it may refer to.
If you know you are never going to need to extract text from images then you can save time downloading and reduce the program footprint by not downloading the -tesseract version. If you need OCR then you want to download the -tesseract version.
I have installed Tesseract 3 (windows installer) and also downloaded Tesseract.au3 kindly written by a poster (Sean Griffin I think) to provide a UDF (I think this means User defined Function - plural in this case) for Tesseract - but I think it was aimed at version 2 mainly.
I have Googled this to basically no avail and would be grateful for any help - including info on anyone who has actually put Mouse to Screen to write up how to interface with tesseract 3 either with Seans UDP or otherwise.
Yep, this is how I know about the file I mentioned (tesseract.au3) with regard to Sean. It only refers to Tesseract version 2.xxx and as I inferred, does not refer to updated URL's for Seans' example file/s to test - but thanks for the post iEvKI3gv9Wrkd41u.
after more searching and searching i found the changes needed to the script here in the forums to make it work for v3, however it is still not working. hangs on tesseract cmd line with error complaining that it cannot open the file randomjunk.tif and just crashes... its gotta be something easy im overlooking....
thank you very much for your code, now with Tesseract 3.0 it works with Win7 64bit. I let tesseract try to recognise some numbers out of a flash application. I tried different scales, but all in all i am not very happy with the results. So now I am thinking about to train tesseract. Do you have any experience with that?
i successfully compiled tesseract svn r 679 under windows using cygwin
and figured out that tesseract looks in the following directory for
.traineddata files: %programfilesdir%\tesseract-ocr\tessdata.
I would point that path to the working dir of the executable and then
in the tessdata subdir. cause then it would be possible to copy
tesseract for example on a USB stick and use it from there or copy it
to a different directory without to change variables or other things.greetings,
Simon
here on a german windows its:
C:\Programme\Tesseract-OCR\on a english windows it would be:
C:\Program files\Tesseract-OCR\
but i would recommend getting the path of the executable and going
into the tessdata dir which makes it easier across windows systems and
usb sticks and what not i guess.
the program files dir is saved in the variable %programfiles% on
windows which is autonmatically made available by the OS.
But i wouldn't use that method cause of above reasons with USB sticks
or different installations.greetings,
simon
>> I would point that path to the working dir of the executable and
>>then in
>> the tessdata subdir. cause then it would be possible to copy
>>tesseract for
>> example on a USB stick and use it from there or copy it to a
>>different
>> directory without to change variables or other things.
>>
>> greetings,
>> Simon
>>
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thanks. i found my problem. i had a variable from a setup program
which used tesseract and it had the variable set wrong.
removed it now and it works well now.now about compiling tesseract:
when i specify a path to the tessdata dir during compiling can i tell
it to use a relative path to the program executable for example
--tessdataprefix=tessdata
I guess then it might look in the subdir of the executable and it
should work?greetings,
simon
>>>>
>>>> I would point that path to the working dir of the executable and
>>>>then in
>>>> the tessdata subdir. cause then it would be possible to copy
>>>>tesseract
>>>> for
>>>> example on a USB stick and use it from there or copy it to a
>>>>different
>>>> directory without to change variables or other things.
>>>>
>>>> greetings,
>>>> Simon
>>>>
>>>> --
>>>> You received this message because you are subscribed to the Google
>>>> Groups "tesseract-ocr" group.
>>>> To post to this group, send email to tesser...@googlegroups.com
>>>> To unsubscribe from this group, send email to
>>>> >
>>>>
>>>>
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>>
>> --
>> Simon Eigeldinger
>> simon.ei...@vol.at
>>
>>
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However, Digital Aladore is a bit out of date at this point, so if you are using the current Tesseract releases where language data is fully separated from the OCR engine, you may also need to tell Tesseract where to find the language data directory (see -ocr/tesseract/wiki/Command-Line-Usage ). In this case, the batch file command would like:
image Object or String - PIL Image/NumPy array or file path of the image to be processed by Tesseract. If you pass object instead of file path, pytesseract will implicitly convert the image to RGB mode.
- lang String - Tesseract language code string. Defaults to eng if not specified! Example for multiple languages: lang='eng+fra'
- config String - Any additional custom configuration flags that are not available via the pytesseract function. For example: config='--psm 6'
- nice Integer - modifies the processor priority for the Tesseract run. Not supported on Windows. Nice adjusts the niceness of unix-like processes.
- output_type Class attribute - specifies the type of the output, defaults to string. For the full list of all supported types, please check the definition of pytesseract.Output class.
- timeout Integer or Float - duration in seconds for the OCR processing, after which, pytesseract will terminate and raise RuntimeError.
- pandas_config Dict - only for the Output.DATAFRAME type. Dictionary with custom arguments for pandas.read_csv. Allows you to customize the output of image_to_data.
Tika's OCR will trigger on images embedded within, say, office documents in addition to images you upload directly. Because OCR slows down Tika, you might want to disable it if you don't need the results. You can disable OCR by simply uninstalling tesseract, but if that's not an option, here is a tika.xml config file that disables OCR:
Tika will run preprocessing of images (rotation detection and image normalizing with ImageMagick) before sending the image to tesseract if the user has included dependencies (listed below) and if the user opts to include these preprocessing steps.
This is what it looks like and also I have installed tesseract for windows through the installer. I'm very new to Python, and I'm unsure how to proceed? Any guidance here would be very helpful. I've tried restarting my Spyder application but to no benefit.
2. Note the tesseract path from the installation. Default installation path at the time of this edit was: C:\Users\USER\AppData\Local\Tesseract-OCR. It may change so please check the installation path.
Pytesseract or Python-tesseract is an OCR tool for python that also serves as a wrapper for the Tesseract-OCR Engine. It can read and recognize text in images and is commonly used in python ocr image to text use cases.
It is also useful as a stand-alone invocation script to tesseract, as it can read all image types supported by the Pillow and Leptonica imaging libraries, including jpeg, png, gif, bmp, tiff, and others.
Unfortunately tesseract does not have a feature to detect language of the text in an image automatically. An alternative solution is provided by another python module called langdetect which can be installed via pip.
This module again, does not detect the language of text using an image but needs string input to detect the language from. The best way to do this is by first using tesseract to get OCR text in whatever languages you might feel are in there, using langdetect to find what languages are included in the OCR text and then run OCR again with the languages found.
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