Metadata-Version: 2.1
Name: nkocr
Version: 1.8.1
Summary: This is a module to make specifics OCRs          at food products and nutricional tables.
Home-page: https://github.com/Lucs1590/Nkocr
Author: NK Sistemas de Informacao em Saude
Author-email: ti@nkodontologia.com.br
License: Apache License 2.0
Download-URL: https://github.com/Lucs1590/Nkocr
Description: # Nkocr
        
        [![CodeFactor](https://www.codefactor.io/repository/github/lucs1590/nkocr/badge)](https://www.codefactor.io/repository/github/lucs1590/nkocr)
        ![Python Test](https://github.com/Lucs1590/Nkocr/workflows/Python%20Test/badge.svg)
        ![Upload Python Package](https://github.com/Lucs1590/Nkocr/workflows/Upload%20Python%20Package/badge.svg?branch=v0.2.2)
        ![OSSAR](https://github.com/Lucs1590/Nkocr/workflows/OSSAR/badge.svg)
        ![CodeQL](https://github.com/Lucs1590/Nkocr/workflows/CodeQL/badge.svg)
        
        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:
        
        ```bash
        $ sudo apt install tesseract-ocr tesseract-ocr-por 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:
        
        ```bash
        $ 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:
        ```bash
        $ pip install nkocr --user
        ```
        
        # How to use
        To use this package, after do installation, do:
        ```python
        from nkocr import OcrTable, OcrProduct
        ```
        
        # Example
        ```python
        from nkocr import OcrTable
        
        text = OcrTable("paste_image_url_here")
        print(text) # or print(text.text)
        ```
        
Keywords: ocr,tesseract-ocr,nk,python3,python-3,food-products
Platform: UNKNOWN
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Development Status :: 5 - Production/Stable
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Topic :: Communications :: Email
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Processing
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Topic :: Software Development :: Testing
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: dev
