Loyalty Cards! app icon

Apps Like Loyalty Cards! for iPhone and iPad

by Kevin Tang★ 5.04 ratingsTravel$2.99Data updated 2026-09-06

Ranked alternatives

Showing 481–500 of 1,000 ranked alternatives.

  1. Big Hotel app icon

    Big Hotel

    BIGGROUP GROUP JOINT STOCK COMPANY

    ★ 0.00 ratingsTravelFreeData updated 2026-09-06
  1. Rafeef app icon

    Rafeef

    FIRST TRAVEL ( L.L.C )

    ★ 4.36 ratingsTravelFreeData updated 2026-09-06
  2. Loyalty Store app icon

    Loyalty Store

    J.S. Technology Ltd.

    Cards digitally

    , membership, and library cards digitally. View and access card details instantly. Use barcode scanning to retrieve card information. Share card details via email or messaging. No personal data is stored.

    ★ 4.33 ratingsUtilitiesFreeData updated 2026-09-09
  3. Travel Scan - Trip Planner app icon

    Travel Scan - Trip Planner

    WILLIAM PETER F HIGGINS

    Organize trips with AI-powered scans

    Organize plans by uploading booking screenshots or PDFs. AI creates a personalized itinerary with flight, hotel, and activity details. View location-based schedules and sync with calendar apps.

    ★ 5.01 ratingsTravelFreeData updated 2026-09-06
  4. Network Print app icon

    Network Print

    Sharp Corporation

    Print files from anywhere in Japan.

    The app allows users to register files and photos for printing via the internet. Users can then print these registered items on Sharp Multi-Function Copiers located in convenience stores throughout Japan.

    ★ 2.04 ratingsUtilitiesFreeData updated 2026-09-21
  5. Flight Tracker: Airplane Radar app icon

    Flight Tracker: Airplane Radar

    DWTSAR LLC

    Track flights and view live

    Track flights with real-time and details. Search by route, airport, or number. View scheduled and current times, status, and airport information. Monitor multiple flights simultaneously. Receive alerts for delays or cancellations.

    ★ 5.05 ratingsTravelFreeData updated 2026-09-06

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.