OCR BOX

OPTICAL CHARACTER RECOGNITION WEBSITE

Ever felt a need for an assistant who could help you in typing the text from real images? Here you have got the OCR BOX to the rescue. This website with the OCR BOX not only helps you to extract the texts from the images but also translates them to the desired language. The translation option ranges for about 106 languages in the world. The icing on the cake is that the content in the image can be converted to an audio file. The user-friendly UI simplifies your task of extraction and conversion.

Table of Contents

- Installation
- Development
Contributing / Adding Features
License

Backend Framework: Flask
Front-end Framework: MDBootstrap

INSTALLATION

Fork and Clone
1. Fork my-ocr the Repo
2. Clone the repo to your computer
Create a Virtual Environment for the Project

In Windows
```
python -m venv venv

venv\Scripts\activate
```
In Ubuntu/MacOS
```
python -m virtualenv venv

source venv/bin/activate
```
If you are giving a different name then venv, then please mention it in .gitigonre first
Install all the requirements
```
pip install -r requirements.txt
```
Run server
```
python flask1.py 
```
Do the Development and send me a PR referencing the issue.

DEVELOPMENT

   git checkout develop-<username>
   //Create the changes and then commit
   git add <filename>
   git commit -m "<Message here>"

From your master branch or your main branch that you are working on, give a PR to our develop branch.

Developers should create a folder /media and put an image named default.jpg to avoid errors in creating superuser.

!IMPORTANT: Don't give a PR to the master branch We only accept PR's to develop branch.

CONTRIBUTIONS

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. While sending the PR please mention the issue in the Comment.

LICENSE

Apache License 2.0