Valentine's Day Stickies 2 app icon

Apps Like Valentine's Day Stickies 2 for iPhone and iPad

by Jorge Briones★ 0.00 ratingsStickers$0.99Data updated 2026-09-22

Valentine's Day Stickies 2 screenshots

Ranked alternatives

Showing 481–500 of 1,000 ranked alternatives.

  1. Wave AI: AI Image &Video Maker app icon

    Wave AI: AI Image &Video Maker

    Mustafa Onus

    Edit photos and videos with AI effects

    Edit photos with AI-powered filters, poses, and face swap technology. Create cartoon or Pixar-style transformations. Generate LinkedIn headshots and celebrity selfies. Apply retro video filters, gaming effects, and avatar creations to videos.

    ★ 0.00 ratingsGraphics & DesignFreeData updated 2026-09-06
  2. Your Romantic Love Messages app icon

    Your Romantic Love Messages

    Yenty Jap

    Send with flower stickers

    Send stickers with watercolor flower designs and . Include text for expressing feelings. Add to iMessage conversations to make interactions sweet and personal.

    ★ 1.01 ratingsStickers$0.99Data updated 2026-09-29
  3. Hello Summer! app icon

    Hello Summer!

    lessingtiede GmbH

    Send stickers to messages and photos

    Add stickers to messages or photos directly in iMessage. Choose from over 20 hand-made designs featuring summer themes like beach days, road trips, and tropical elements. Include options such as watermelon, pineapples, and palm trees.

    ★ 5.03 ratingsStickersFreeData updated 2026-09-13
  1. Happy Husky Stickers app icon

    Happy Husky Stickers

    Paul Scott

    Send in iMessage

    Add animated to iMessage conversations. Choose from various expressions and actions. Send directly within chats without leaving the messaging .

    ★ 5.01 ratingsUtilities$0.99Data updated 2026-09-06
  2. Pandi app icon

    Pandi

    Kintarla Pty Ltd

    ★ 0.00 ratingsStickers$0.99Data updated 2026-09-12
  3. Sheep app icon

    Sheep

    Kintarla Pty Ltd

    ★ 0.00 ratingsStickers$0.99Data updated 2026-09-12

How we rank alternatives

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