Splendid HK app icon

Apps Like Splendid HK for iPhone and iPad

by Red Soldier Limited★ 0.00 ratingsTravelFreeData updated 2026-09-06

Splendid HK screenshots

Ranked alternatives

Showing 61–80 of 1,000 ranked alternatives.

  1. Global Tickets app icon

    Global Tickets

    GLOBALTOURSANDTICKETS TURIZM BILGISAYAR ILETISIM VE TICARET LIMITED SIRKETI

    ★ 1.05 ratingsTravelFreeData updated 2026-09-06
  1. BYU Walks app icon

    BYU Walks

    Brigham Young University

    Explore BYU and its surroundings with guided

    Explore campus and surrounding areas through guided tours created by faculty and students. Navigate maps, view points of interest, and access audio or written tour content. Save favorite locations and share tour highlights with others.

    ★ 5.03 ratingsEntertainmentFreeData updated 2026-09-14
  2. GR Walks app icon

    GR Walks

    Calvin University

    Explore Grand Rapids history on foot.

    The app provides walking tours of Grand Rapids, Michigan, with maps, audio, and photos detailing the history of landmarks and neighborhoods. It uses GPS to guide users to each stop, enhancing the historical experience at each location.

    ★ 3.76 ratingsTravelFreeData updated 2026-10-16
  3. Mountain Maryland app icon

    Mountain Maryland

    Allegany County Commissioners

    Explore locations, dine, shop, and stay

    Plan customized itineraries with event listings and tour options. Explore historical sites, natural areas, and arts venues. Access trail maps and downtown guides. Discover dining and shopping options. View festival schedules and local attractions.

    ★ 4.521 ratingsTravelFreeData updated 2026-09-06
  4. Bangkok Travel Guide & AI app icon

    Bangkok Travel Guide & AI

    TicketLens GmbH

    Bangkok attractions, tours, and tickets.

    The app uses AI to create a personalized Bangkok itinerary. Users can compare and book tickets and tours for attractions like temples and markets.

    ★ 5.020 ratingsTravelFreeData updated 2026-10-11

How we rank alternatives

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