Apps Like DDB One Word for iPhone and iPad
DDB One Word screenshots
Ranked alternatives
Showing 21–40 of 1,000 ranked alternatives.


I wish you ...
lessingtiede GmbH
Send stickers to messages and photos
Send greetings or enhance photos with a variety of hand-made stickers. Add single or multiple stickers to messages or photos. Includes themed options for birthdays, celebrations, good nights, and more. Share directly within iMessage.


Love Stickers ⋆
Sansyzbay Ospanov
Send animated in chat
Send dynamic and animated in iMessages. Customize photos by adding in chat. Place anywhere on messages. Layer over each other or on photos. Scale and rotate as needed.


Text Stickers ⋆
Islambek Tanabay
Send animated in chat
Add to iMessages for customization. Send animated in chats. Place anywhere on messages. Layer and scale over photos or . Customize messages with speech bubbles, comic , and watercolor styles.

foodbabyny Stickers
Thickpolicy LLC
Text with food and expressions
Use to express food preferences and emotions. Choose from popular Instagram food items and add Frybrows to messages. Customize text with food-related expressions. Share sticker-laden messages directly.






Faith and Christian Sticker Pack for iMessage
Adam Wilkie
Send stickers and messages
Send stickers in to express and share Bible verses. Include original artwork and inspirational messages. Add stickers to conversations and customize messages with scripture quotes.


Owl Stickers °
bobo pei
Send owl to messages
Use owl to add expressions to messages and photos. Choose from 35+ designs showing emotions like happiness, annoyance, tiredness, and more. Customize chat bubbles and images with bold, colorful owls. Share directly in chats and social media.

Christian Encouraging Words
Sigma SKY, LLC
Share Bible verses as stickers
Share Bible verses as stickers. Include Scripture from the Book of Matthew and Douay Rheims Bible. Add motivational messages for daily encouragement. Send stickers to friends or social media.

How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.