Xinh Flowers app icon

Apps Like Xinh Flowers for iPhone and iPad

by Hong Anh Khoa★ 0.00 ratingsStickersFreeData updated 2026-09-11

Xinh Flowers screenshots

Ranked alternatives

Showing 81–100 of 1,000 ranked alternatives.

  1. Wordie Stickers app icon

    Wordie Stickers

    ICO Group LLC

    Add to your messages anywhere

    Add to iMessages with customizable placement. Includes 33 game-themed for various occasions. Share with friends and play games within the . Send feedback through in- contact.

    ★ 5.02 ratingsStickersFreeData updated 2026-09-11
  1. Flower Blossom Stickers app icon

    Flower Blossom Stickers

    Arti Sharma

    Add to messages

    Download and use to send animated floral images in iMessage. Access via the iMessage drawer by tapping the icon. Select and send directly into messages. Drag and drop to add them to conversations.

    ★ 4.01 ratingsStickers$0.99Data updated 2026-09-14
  2. Lukers app icon

    Lukers

    Luke Hand

    Create, share, and customize stickers

    Use stickers to add artistic flair to messages. Features include playful doodles, vibrant paintings, and 16 unique original designs. Share empathy, beauty, or whimsy through themed scenes like grandma's house or flower arrangements.

    ★ 4.01 ratingsStickersFreeData updated 2026-09-20
  3. Kiki Hamster Stickers app icon

    Kiki Hamster Stickers

    VORSZ, PT

    Send and messages

    Use featuring a cute to enhance chat conversations. Add to messages, customize sticker size, and share across platforms. Includes 40 free in a single pack.

    ★ 5.05 ratingsStickersFreeData updated 2026-09-15
  4. Cozy Autumn app icon

    Cozy Autumn

    Jojo Falk

    Decorate messages with stickers

    Add stickers to text messages for customization. Drag and drop stickers together to create combinations. Include seasonal themes like leaves and mushrooms. Share creative sticker arrangements in conversations.

    ★ 4.33 ratingsStickersFreeData updated 2026-09-16

How we rank alternatives

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