Apps Like Restore Old Photos: FotoRevive for iPhone and iPad
Ranked alternatives
Showing 121–140 of 1,000 ranked alternatives.


Repairit - AI Photo Enhancer
GIYASTAR LIMITED
Restore damaged photos with AI
Allows users to restore damaged photos using AI algorithms. Users can remove scratches, blur, and discoloration. The enhances visual clarity and transforms old photos. AI filters and creative styles can be applied for artistic effects.



Vivid - AI Photo Enhancer
Winroad Holdings Limited
Capture moments, edit photos, share memories
Enhance photos with AI-based clarity and detail. Remove blur and improve lighting. Edit vintage photos for modern clarity. Share enhanced images directly. Apply filters and adjust colors. Export in high-definition formats.










photo enhancer&photo unblur
Yu Abe
Enhance photos, upscale images, boost resolution, denoise
Convert low-quality photos to high-resolution images with clarity and detail. Upscale photos to maintain sharpness. Boost resolution for clearer images. Apply denoising to reduce grain and enhance visual quality.

Fix Old Photos - AI Enhancer
Oguzhan Turk
Edit , enhance clarity, restore details
Edit with AI enhancement, sharpening, and noise reduction. Remove blur and restore old images. Preview enhanced results and save high-resolution versions. Purchase credits to unlock full-resolution edits.

Enhancer & Analyzer: RePixel
Hamza Javed
Enhance photos, restore images, analyze faces
AI Photo improves blurry, old, or low-quality images using AI to remove blur and enhance details. Image restoration tools repair damaged photos. Facial analysis evaluates beauty with accuracy. Users can adjust brightness, contrast, and color.

AI Headshot Generator: BlendAI
BUYA SOFT LTD
Edit photos and add anime style
Edit photos with cartoon-style anime filters and portrait transformations. Colorize black-and-white images using AI. Remove or replace backgrounds with one tap. Enhance skin tone and texture with AI-powered retouching.


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