Metadata-Version: 2.1
Name: TextStega
Version: 0.0.2
Summary: A package for text steganography
Home-page: UNKNOWN
Author: Atharva Vidwans
Author-email: atharvavidwans@gmail.com
License: MIT
Description: # Text Steganography
        ***
        
        ## Table of Contents
        1. [General Info](#general-info)
        2. [Technologies](#technologies)
        3. [FAQs](#faqs)
        
        ## General Info
        ***
        This project deals with hiding text message inside a image. 
        Also called as Text Steganography. It is extremely useful technique
        for conceling text messages. In this project there are two function namely:
        * 'encode' which encode the entered text to an also image entered 
        by a user. 
        *'decode' which decodes the text from the image which 
        is previously encoded by the encode function. 
        
        ## Technologies
        ***
        A list of libraries used within the project:
        * matplotlib(https://matplotlib.org): Version 3.3.4
        * math(https://docs.python.org/3/library/math.html): Version 
        * openCV(https://opencv.org): Version 4.2.0
        * numpy(https://numpy.org): Version 1.21.4
        
        ## FAQs
        ***
        A list of frequenctly asked questions
        1. **What is text steganography?**
        Steganography is the technique of hiding secret data within an ordinary, non-secret, file or message in order to avoid detection. More information can be found on this [Wikipedia](https://en.wikipedia.org/wiki/Steganography) page.
        
        2. **Where can I use this package?**
        This tool is used to craftfully hide the data in images. So this package can be used to hide secret text messages by encoding them in images.
        
        3. **How to encode the image with desired secret message?**
        It is a user-friendly package to use. The user just needs to call the encode function and pass the image and the message to encode. The function will create a new image with encoded message and save it in the Working directory under the name of 'Encoded_image.png'. Voila you have the encoded image!! 
        
        
        
        
        
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Education
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
