EasyOCR is a popular open-source optical character recognition (OCR) library designed to extract text from images and convert it into machine-readable formats. With its user-friendly interface and straightforward integration, EasyOCR makes it simple for developers to implement OCR capabilities into their applications. The library supports multiple languages, making it versatile for a wide range of international use cases. By leveraging advanced deep learning techniques, EasyOCR achieves high accuracy in text extraction, enabling efficient data extraction and analysis from various sources, such as scanned documents, photographs, and screenshots.
The EasyOCR Text Extraction project is an application that utilizes the EasyOCR library to extract text from images in both English and Hindi languages. The project aims to provide a simple and efficient solution for developers who require OCR capabilities in their applications for extracting textual information from images.
Text extraction from images: The application uses the EasyOCR library to extract text from images containing English and Hindi characters. Language support: Supports both English and Hindi languages for text extraction. High accuracy: The EasyOCR library utilizes advanced deep learning techniques to achieve high accuracy in text extraction, ensuring reliable results. Easy integration: The project provides a user-friendly interface and straightforward integration, making it easy for developers to incorporate OCR capabilities into their applications. Versatile usage: The application can extract text from various sources, including scanned documents, photographs, and screenshots.
Clone the repository: git clone https://github.com/Priyansu-Bhandari/EasyOCR_Project.git
Install the required dependencies: pip install -r requirements.txt
Usage: Upload Image: Select an image file (in JPG, PNG, or TIFF format) containing English or Hindi text that you want to extract.
Extract Text: Click the "Extract Text" button to initiate the text extraction process.
View Results: The extracted text will be displayed on the screen, separated by language.
Python (3.6+)
EasyOCR library
OpenCV (for image processing)
Contributions to the EasyOCR Text Extraction project are welcome. If you would like to contribute, please follow these steps:
Fork the repository.
Create a new branch.
Make your changes and commit them.
Push your changes to your forked repository.
Submit a pull request detailing your changes.
For any inquiries or suggestions, please contact bhandaripriyanshupb2002@gmail.com.
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