This is a module to make specifics OCRs at food products and nutricional tables.
Project description
Nkocr
This is a module to make specifics OCRs at food products and nutricional tables.
As a prerequisite of this project, we have the tesseract library which can be found in more detail at
https://github.com/tesseract-ocr/tesseract
Installation of prerequisites
Tesseract OCR
The installation of tesseract on the Linux system can be done in a few commands:
$ sudo apt install tesseract-ocr
$ sudo apt install libtesseract-dev
And the same goes for macOS. There is a variation between MacPorts and Homebrew, but in this post I will only quote the version of Homebrew:
$ brew install tesseract
After performing the tesseract installation, it is possible to perform OCR in just one command, thus already extracting some words from the image.
The default language is English, depending on the text, it will not be possible to capture the word/phrase. If you want to work with another language, you need to make some additional installations. (https://github.com/tesseract-ocr/tesseract/wiki#other-languages)
OpenCV
The installation of OpenCV on the Linux system can be done in a command:
$ sudo apt install python3-opencv
To more informations, access: https://docs.opencv.org/master/da/df6/tutorial_py_table_of_contents_setup.html
Installation
You can install this package with:
$ pip install nkocr --user
How to use
To use this package, after do installation, do:
from nkocr import ocr_table, ocr_product
Example
from nkocr import ocr_table
text = ocr_table("paste_image_url_here")
print(text) # or print(text.text)
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