For English, most of the times, preprocessing your images and using
official traineddata will give better results than trying to do training.

For finetuning, (
https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.html#fine-tuning-for-impact)
what is recommended is using the existing training text and a new font, so
that there are minimal changes to traineddata. Using your own training data
will not give you good results.

> train tesseract on my documents

Use the Makefile based training from tesstrain repo.


On Tue, Oct 20, 2020 at 11:00 PM Kumar Rajwani <[email protected]>
wrote:

> hey i need small help as i have to train tesseract on my documents.
> I have already read some training issues and i have steps that i can
> perform.
>
>    1.
>
>    !tesseract "document.png" "document" -l eng --psm 11 wordstrbox it
>    will give me line lavel box
>    correct ocr. copy image file and box file in tessdata folder
>    2.
>
>    src/training/tesstrain.sh --fonts_dir /usr/share/fonts --lang eng
>    --linedata_only
>    --noextract_font_properties --langdata_dir ../langdata
>    --tessdata_dir ./tessdata --output_dir ~/tesstutorial/engtrain
>
>
>    -
>
>    so this is right thing or i have to do anything else?
>    -
>
>     It will also finetune detection right?
>    -
>
>     can i finetune on word level like linedata_only?
>    -
>
>     i am using tesseract 5 and tessedit_do_invert=0 but it still slow. so
>    which steps i can perform at time training will improve time.
>
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____________________________________________________________
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