Apps Like AI Style for iPhone and iPad
AI Style screenshots
Ranked alternatives
Showing 181–200 of 1,000 ranked alternatives.





Christmas Frames Greeting Card
chetna narula
Add to photos
Edit photos by adding -themed like trees, presents, and Santa Claus. Select images from the gallery or capture new photos with the camera. Apply HD quality to enhance holiday pictures. Share edited photos directly.

Super Collage for Hmp,Voyeur,Shazam
Wilson Tjoa
Create unlimited collages with one tap.
The app creates unlimited collages with a single tap using a SmartSorting algorithm. Users can import photos, select modes, and apply various styles, text, backgrounds, filters, and stickers.




Starry Landscape Stacker
Ralph Hill
Landscape photos with low noise.
The app composites several images taken in rapid succession to produce landscape photographs taken at night. It renders stars as points and achieves low noise by shifting the sky as needed to align the stars.


EveryArt - Daily Art Gallery
鉴 郗
Daily fine art for art lovers.
The app delivers a world-famous painting daily to the user's device. Users can collect masterpieces and build a personal art gallery, exploring works from various global artists and civilizations.

Pictures&Old Photos Colorizer
Alexei Jovmir
Colorize and restore images
Upload black-and-white or grayscale images to automatically colorize them using AI. Adjust color accuracy manually. Export edited in various formats. Sync with cloud storage services.

Blur Photo - DSLR Background
Devkrushna Infotech Private Limited
Images and create effect
Allows users to apply effects to backgrounds. Select images from the gallery or capture new photos. Use multiple blurring tools to adjust the effect. Export edited images directly.


PhotoBrush Art
Rick Hicksted
Convert photos to painted art
Convert photos into paintings with customizable brush styles and color palettes. Adjust detail, intensity, and artistic style settings. Save or share artwork directly to social media.

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