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BizCardX is a powerful Python-based tool designed for seamlessly extracting valuable information from business cards through the application of Optical Character Recognition (OCR). This project addresses the challenge of manual data entry by automating the process of digitizing business card details, promoting efficiency and accuracy. Key Features

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BizCardX: Extracting Business Card Data with OCR

Overview

BizCardX is a Python-based tool designed to simplify the extraction of data from business cards using Optical Character Recognition (OCR). This project streamlines the process of digitizing business card information, making it efficient and user-friendly.

Features

  • OCR Extraction: Utilizes Optical Character Recognition to extract text data from business card images.

  • Output Organization: Provides a structured and organized output format for the extracted information.

  • Image Format Support: Supports various image formats commonly used for business cards.

Getting Started

Prerequisites

Ensure you have the following dependencies installed before using BizCardX:

Installation

  1. Clone the repository:

    git clone https://github.com/your-username/BizCardX.git
    cd BizCardX
  2. Install required Python packages:

    pip install -r requirements.txt

Usage

  1. Place business card images in the images/ directory.

  2. Run the following command:

    python extract_data.py
  3. Extracted data will be saved in output.csv in the project directory.

Configuration

Customize BizCardX by modifying settings in the config.py file. Adjust OCR settings, output format, or other parameters to suit your requirements.

Contributing

We welcome contributions! If you'd like to contribute to BizCardX, please follow the contribution guidelines.

License

This project is licensed under the MIT License.

Acknowledgments

Thanks to the Tesseract OCR project for providing the OCR engine.

Support

For questions or issues, please open an issue.

About

BizCardX is a powerful Python-based tool designed for seamlessly extracting valuable information from business cards through the application of Optical Character Recognition (OCR). This project addresses the challenge of manual data entry by automating the process of digitizing business card details, promoting efficiency and accuracy. Key Features

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