返回榜单
Renew - Restore Old Photos AI

Renew - Restore Old Photos AI

Olena Dorohan

Photo & Video免费v4.3
App Store
评分

4.7

6,306 条评分

星级

★★★★★

最近更新

2026年3月24日

发布日期

2025年3月7日

更新内容

v4.3

Old Photo Restoration with Renew is now smoother and easier to use. Enjoy better photo enhancement and more natural results. Faster performance and more reliable processing.

应用信息

开发者
Olena Dorohan
分类
Photo & Video
价格
免费
版本
4.3
App ID
6740345364

简介

Bring cherished memories back to life with Renew, the best app to restore old photos right from your phone. Our advanced AI photo restoration technology effortlessly repairs scratches, fixes damage, and enhances clarity, turning your blurry, faded memories into stunningly sharp images you'll love to share and treasure. Renew isn't just another picture restoration app—it's your personal tool for preserving your family's legacy. Why users love Renew: • Instantly restore old photos, removing scratches and damage • Easily fix blurry, faded, or worn-out images • Effortlessly colorize a black and white photo with stunning accuracy • Combine people from different photos seamlessly into a single memorable image • Simple, intuitive interface designed for all skill levels Wondering how to restore old photos easily? With Renew, it takes just a tap! Our powerful yet simple-to-use app specializes in old photo restoration, clearing up imperfections and breathing new life into your precious memories. Looking to colorize black and white photos? Renew makes it easy and fun. Turn black and white photos to vibrant color effortlessly, creating vivid, lifelike images of your family's history. Add color to black and white photos with impressive precision, instantly making historical moments feel alive again. Experience how simple photo restoration can be and rediscover the joy of your treasured photographs with Renew. For subscriptions, we follow the standard Apple Terms of Use (https://www.apple.com/legal/internet-services/itunes/dev/stdeula/).

下载量预测

专业 · 预览

预估总下载量

450K315K788K
保守估计乐观估计

21K

低 / 月

30K

预估 / 月

53K

高 / 月

基于6,306 条评分
假设评分率1.4%
应用年龄15 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。