Apps Like Valentine's Dock! for iPhone and iPad
Valentine's Dock! screenshots
Ranked alternatives
Showing 1–20 of 1,000 ranked alternatives.

Valentine's Day eCards
123Greetings.com, Inc.
Send love cards and romantic wishes
Send Day cards with romantic messages and emotional expressions. Choose from various themed cards. Customize with text and images. Share digitally or print. Include love notes and wishes. Add music or animations to cards. Track gift delivery status.



Valentine's Day Wallpapers HQ
Vladimir Djordjevic
Set home screen with romantic
Set home screen with romantic and stylish images. Choose from a collection of Day-themed backgrounds. Apply directly to iPhone. Customize appearance with decorative themes. View and select from multiple romantic images.


Plug AI: Texting Assistant
Vert Media Partners LLC
Chat with AI to craft romantic messages
Create and customize text responses using uploaded screenshots. Generate pick-up lines for dating apps. Receive advice on dating and self-improvement through conversational chat. Craft engaging messages for Tinder, Hinge, Wizz, and iMessage.





BISSELL Connect
BISSELL Homecare, Inc.
Set cleaning schedules and track progress
Manage connected products remotely. Set cleaning schedules for robotic vacuums. Access cleaning tips and instructional videos. View device status and control settings from a smart device.




ClockPhone big digital clocks
EVGENII KOSTIN
Set alarms, track time, customize schedules
Set alarms with repeat options by day, date, or shift schedule. Disable alarms via NFC, QR/barcode, or math problems. Use a timer for workouts. View time in multiple formats. Adjust settings for brightness and sound.


Slideshow Creator
Animoto, Inc.
Create slideshows with photos and videos
Create slideshows set to music using photos and video clips. Choose from predefined styles for birthdays, weddings, holidays, and other events. Add music, select transitions, and customize layouts. Export and share the final .
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.