Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{179975,
        author = {Shraddhesh Tamhane and Varsha Dange and Abhishek Sondkar and Soniya Warade and Soham Thakkar and Sujal Thakur},
        title = {Business Card Scanner Application},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {456-461},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179975},
        abstract = {Giving your business card is still a popular method of exchanging contact details at work. But it is tedious and error-filled to add these details one by one. What this project offers is an application that lets you use your phone to scan any business cards. The images are run through Optical Character Recognition (OCR) and are also enriched with AI to recognize names, titles, phone numbers and email addresses from them. All the data is set up for users to see, save and access from their dashboards. Managing campaigns, users and subscriptions is possible from the web interface. The system went through testing using several OCR programs and AWS Textract was discovered to have the greatest number of correct results. The tool provides a practical system for handling and exporting business cards electronically.},
        keywords = {Campaign Tracking, Contact Management, Entity Recognition, Lead Capture, OCR, PostgreSQL, React, React Native, AWS Textract, Business Card Scanner.},
        month = {May},
        }