Django_OCR

• A small app that will allow the users to login and upload PDF and image documents. The server will generate text from the image/document by OCR or Optical Character Recognition using Tesseract.

APP DEMO

https://drive.google.com/file/d/1h9u3k_ubcC5y34Go23hr7nAqr0tTCpcV/view?usp=sharing

This Django web app uses pytesseract(https://pypi.org/project/pytesseract/) for OCR.

Note: This app requires you to install https://github.com/tesseract-ocr/tesseract in your Operating System to be able to use the OCR.

Features

• User authentication and login
• Handles both PDF and image files
• Copy and generate text from images or PDF docs using OCR
• Ability to download the original upload files

Installation

This app uses PostgreSQL for DBMS. Download it from - https://www.postgresql.org/download/

Make sure you download and install tesseract(https://github.com/tesseract-ocr/tesseract) for OCR.

Run Locally

Clone the project

  git clone: https://github.com/Sundeep220/Django_OCR

• Before running this project:

  -> Create a virtual environment, in Windows command is as follows:
  pythom -m venv env
  -> To activate:
  env/Scripts/activate

• To run this project do the following:

  Pre-requisites: Python, pip and django should be installed in your system. All the coding is done using VScode.

  1. To install the dependencies:
     pip install -r requirements.txt
  2. Before Applying the below steps make sure you have integerated postgres in you application. Make the migrations:
     python manage.py makemigrations Migrate the tables:
     python manage.py migrate
  3. Create a superuser for your project:
     python manage.py createsuperuser
     This will prompt you to enter username, email and password for the superuser.
  4. Run the server using:
     python manage.py runserver

Environment Variables

To run this project, you will need to add the following environment variables to your .env file in the root folder

SECRET_KEY

DB_NAME

DB_USER

DB_PASSWORD

DB_HOST

DB_PORT

##App view:

• Home Page:

• Uploaded doc page:

• Extracted text page:

• Login Page:

• Register Page: