Newari-OCR

Newa-OCR is a Python application designed for Optical Character Recognition (OCR) of Newari Lipi scripts, including Pracalit and Ranjana Lipi. This project leverages advanced CRNN architecture to accurately read and process text in these traditional Newari scripts.

Features

• OCR Support: Recognizes text in Newari Lipi scripts (Pracalit and Ranjana).
• Web Interface: Simple and intuitive interface for uploading images and viewing OCR results.
• Translations: Provides translations of OCR results into Nepali and English.

Prerequisites

• Python: Version 3.10
• Dependencies: Required libraries are listed in requirements.txt

Installation

1. Clone the Repository

   git clone https://github.com/yourusername/newa-ocr.git
   cd newa-ocr

2. Create a Virtual Environment

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install Dependencies

   pip install -r requirements.txt

Usage

1. Run the Application

   python app.py

2. Access the Web Interface

   Open your web browser and navigate to http://127.0.0.1:5000/ to access the application.

3. Upload an Image

   • Select an image containing Newari Lipi text (either Pracalit or Ranjana).
   • Choose the OCR model and checkpoint from the available options.
   • Submit the form to process the image and receive the OCR results.

4. View Results

   The results, including translations into Nepali and English (if applicable), will be displayed on the results page.

Inference Results:

Inferencing the application.

Homepage

Pracalit Inference

Ranjana Inference

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

For any questions or issues, please contact:

• Email: [email protected]
• LinkedIn: Bibek Thapa