Automated Business Card Digitization and Smart Contact Follow Up Using AI

Abstract: Automated Business Card Digitization and Smart Contact Follow Up Using AI is a cloud based, multi tenant system built to automate the handling of physical business cards. It digitizes card images through browser side Optical Character Recognition using Tesseract.js, structures the extracted text into verified JSON contact records using Google Gemini 2.5 Flash with an enforced JSON response schema, and stores records in a PostgreSQL database where Row Level Security policies provide complete tenant isolation. A large language model driven follow up composer generates personalized outreach messages, which users preview and dispatch via WhatsApp click to chat links, the Resend transactional email API, or LinkedIn profile deep links. Testing across a representative sample of business card images showed that the Gemini augmented extraction pipeline achieved 96.4% accuracy and 95.6% F1 score, improving significantly over standalone Tesseract.js OCR at 67.9%. The end to end pipeline, from client side image compression through extraction and database persistence, completed in an average of 1.22 seconds. Cross tenant isolation tests returned zero data leaks across all evaluated scenarios.

Keywords: business card digitization, OCR, large language model, JSON schema extraction, multi tenant SaaS, Row Level Security, CRM automation, serverless edge functions, Gemini 2.5 Flash, Supabase, multi channel follow up