Djano-ocr

Django based Optical character recognition (OCR)

Extract text from PDF and images (JPG, BMP, TIFF, GIF) and convert into editable Word, and Text output formats

It was created using Flask.

Prerequisites

• Python3 - Python 3.6 or later
• Poppler-util
• Tesseract OCR
• Tessdata languages
  • Language used (Africans (afr) - English (eng) - Francais (fra) - Russian (rus) - Italian (ita) - Chinese (chin_sim & chin_tra) - Portguese (port)

Getting Started

2. Clone the fork with HTTPS, using your local terminal to a preferred location, and cd into the project.

git clone https://github.com/hyaovi/django-ocr.git

Cloning into 'django-ocr'...
remote: Enumerating objects...

cd django-ocr/

3. Create your virtual environment, and activate it.

python -m venv env

source env/bin/activate  # Linux/Mac
env/Scripts/activate  # Windows

4. Install dependencies

pip install -r requirements.txt

5. Run local server, and DONE!

python manage.py runserver

Watching for file changes with StatReloader
Performing system checks...

System check identified no issues (0 silenced).
June 19, 2020 - 11:50:14
Django version 3.0.7, using settings 'core.settings'
Starting development server at http://127.0.0.1:8000/
Quit the server with CONTROL-C.

Built With

• Django Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
• Tesseract OCR PyMongo is a Python distribution containing tools for working with MongoDB