Apps Like OldPic Restore for iPhone and iPad
Ranked alternatives
Showing 101–120 of 1,000 ranked alternatives.

VintaGlow - AI Photo Editor
EMRE SOZEN
Restore photos, enhance details, colorize images
Restore and enhance old photos with AI-powered tools. Colorize black-and-white images, sharpen details, and remove blur. Adjust brightness, contrast, and saturation. Save and share edited photos directly.

VideoAI: AI Video Generator+
Koi Apps Yazilim Limited Sirketi
Animate photos into vivid memories
Animate photos by adding movement and expressions. Convert static images into videos with AI-generated animations. Customize details to enhance realism and emotional impact. Export and share transformed videos directly.




Image Colorize - Old Photos AI
GENOVA Softworks
Restore old automatically
Restore and enhance old or faded with automatic AI colorization and restoration. Remove haze or dull effects using the Dehaze Filter. Output high-resolution results in black and white or color.






AI Mirror: AI Photo Editor
POLYVERSE ENTERTAINMENT INC.
Edit photos and videos with AI filters
Edit photos with AI filters, style transformations, and Nano Banana trend effects. Restore old photos by enhancing details and repairing scratches and fading. Create videos with AI tools, turn images into anime, game avatars, or action figures.



Sharp AI: Photo Enhancer
KRNL SRL
Enhance, restore, and share photos
Restore old, blurry, or damaged photos using AI-based enhancement. Adjust clarity, brightness, and color. Remove blemishes and red eye. Resize and export in various formats. Apply filters and effects. Share restored images directly.

Facelab - Aging, face editor
Tycoon View Technology Co., Ltd.
Edit photos, apply effects, enhance images
Apply aging effects to photos to simulate aging or youth. Transform selfies into celebrity looks with cosplay filters. Edit images with effects, filters, and adjustments. Export edited photos in various formats and share directly.

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