If the invoices have a fixed format, you can try with uzn.
See
https://github.com/jsoma/tesseract-uzn
https://jsoma.github.io/kull/#/

Or checkout OPENCV
See
https://www.learnopencv.com/deep-learning-based-text-recognition-ocr-using-tesseract-and-opencv/

On Fri, Mar 22, 2019 at 9:35 PM yoganand <[email protected]>
wrote:

> Hello,
>
> Im building a OCR to read selected fields from invoices. i used tesseract,
> problems im facing are
> 1)not able to get table structures as is, atleast expecting a pipe symbol,
> which wil help in parsing text
> 2)few of characters were not extracted correctly. how to improve quality.
> does training tesseract4 helps?
> 3)why do you train tesseract4 additionally?
> 4)is there any option that i can use to get white spaces between words and
> text alignment as is in image after converting
>
> i almost spent 1 mnth on this, could able to build ocr tool with a 40%
> accuracy
>
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