LuvToGether app icon

Apps Like LuvToGether for iPhone and iPad

by Pansuriya Chirag★ 0.00 ratingsLifestyleFreeData updated 2026-09-06

Ranked alternatives

Showing 401–420 of 1,000 ranked alternatives.

  1. Valentine eCards Greetings app icon

    Valentine eCards Greetings

    Ravi Ranjan

    Send cards and GIFs

    Create and send personalized Day greeting cards with customizable templates, quotes, and photos. Add romantic GIFs, stickers, and frames. Share messages via email, social media, or messaging apps.

    ★ 4.524 ratingsEntertainmentFreeData updated 2026-09-06
  1. Prestige Flowers app icon

    Prestige Flowers

    Prestige Gifting Ltd.

    Order and gifts online

    Browse flower and gift collections with seasonal arrangements. Place orders for delivery within the UK and select international destinations. Receive £10 credit for new accounts. Track orders and view product details.

    ★ 4.719 ratingsShoppingFreeData updated 2026-09-06
  2. AnnivAmigo app icon

    AnnivAmigo

    Shaanxi Chenxing Yuandao Network Technology Limited

    ★ 0.00 ratingsLifestyleFreeData updated 2026-09-06
  3. 25000 Messages, Quotes, Status app icon

    25000 Messages, Quotes, Status

    Monali Paghadal

    Send messages and updates

    Share personalized messages, quotes, and wishes for special occasions. Send messages to friends, family, and loved ones via social media. Includes over pre-written messages, quotes, and poems for various relationships and events.

    ★ 4.920 ratingsLifestyleFreeData updated 2026-09-06
  4. Dates Reminder-Family & Friend app icon

    Dates Reminder-Family & Friend

    Cradaptive Nigeria Limited

    Remember birthdays, anniversaries, and special

    Track birthdays, anniversaries, and personal milestones with customizable reminders. Add notes and gift suggestions. View calendar views and set recurring events. Private entries are accessible only to the user. Sync across devices.

    ★ 0.00 ratingsLifestyleFreeData updated 2026-09-06

How we rank alternatives

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