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SWHub.ai AI Business Card Recognition | Cross-border Professional Networking Tool

What is SWHub.ai?

SWHub.ai provides an efficient solution for professionals engaging in global networking. Leveraging advanced AI, specifically Google's Gemini model with optimized prompts, this tool excels at extracting comprehensive information from business cards. It supports over 100 languages, accurately identifying names, titles, companies, contact details, and addresses, regardless of font or layout variations.

Designed with privacy and security as priorities, SWHub.ai utilizes full HTTPS encryption and processes files locally without storing user data or requiring account creation. Users can easily upload or drag and drop images (PNG, JPG, GIF up to 10MB each) or capture photos directly. The platform supports batch processing, allowing recognition of up to six cards per photo and ten photos simultaneously, making it ideal for busy environments like international trade shows.

Features

  • State-of-the-Art AI Model: Powered by Google's Gemini model for comprehensive information extraction.
  • Multilingual Support: Recognizes and extracts data from business cards in over 100 languages.
  • Efficient Batch Processing: Processes up to 6 cards per photo and 10 photos simultaneously.
  • Privacy and Security: Features HTTPS encryption, local file processing, no data storage, and no user accounts.
  • Free to Use: Available at no cost to all users.
  • Multiple Input Methods: Accepts uploads, drag-and-drop, and direct photo capture.

Use Cases

  • Extracting contact information from business cards collected at networking events.
  • Digitizing physical business cards for easier management.
  • Processing multiple business cards quickly after trade shows or conferences.
  • Networking across language barriers with multilingual card recognition.
  • Maintaining contact databases without manual data entry.

Related Queries

Helpful for people in the following professions

SWHub.ai Uptime Monitor

Average Uptime

100%

Average Response Time

184.33 ms

Last 30 Days

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