Take a look at

--user-words

and the commands

Combine_tessdata

Dawg2wordlist

Wordlist2dawg

You can change the wordlist and it may improve chances of word being
recognised, but I don't think recognition is limited to the list.

It also depends on the version of tesseract that u r using.

On 22-Feb-2018 3:51 PM, "Edvard Fagerholm" <edvard.fagerh...@gmail.com>
wrote:

> I have a fairly large dataset that contains scans of various quality.
> However, all the documents are of the same type and the vocabulary is
> therefore very uniform. I would like to do basically the following:
>
> 1. Run tesseract on all the data and dump all words to a file that have a
> confidence over some threshold, say, 95.
>
> 2. Rerun tesseract on the data with the computed wordlist provided as a
> prior for likely words.
>
> Is this currently supported by the tool?
>
> Best,
> Edvard
>
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