Simon,

There is a significant difference in speed.  Depending on the language, the
difference in accuracy may be minimal or more.

You should compare both  for a representative sample to see which is most
suitable


On 17-Sep-2017 10:28 PM, "'Simon Eigeldinger' via tesseract-ocr" <
[email protected]> wrote:

Hi ShreeDevi,

 Thanks for the info.
So it seems for blind people who need the best accuracy they should use
tessdata_best.

Greetings,
Simon



Am 17.09.2017 um 16:52 schrieb ShreeDevi Kumar:

> Please see
> https://github.com/tesseract-ocr/tesseract/issues/995#issuec
> omment-329667239
>
> ShreeDevi
> ____________________________________________________________
> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com
>
> On Sun, Sep 17, 2017 at 2:57 AM, 'Simon Eigeldinger' via tesseract-ocr <
> [email protected]> wrote:
>
> Hi all,
>>
>> I guess i need some help understanding that.
>> I have seen that there are now 3 repos on github containing .traineddata
>> files.
>>
>> Let's see if i understand them right.
>>
>> Tessdata fast:
>> Fast recognition but lesser accuracy.
>>
>>
>> tessdata best:
>> Slower recognition but higher accuracy.
>>
>> and there is the tessdata repo.
>> what is that doing now in the future?
>>
>> Greetings and thanks for helping,
>> Simon
>>
>>
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