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Miracle: Baby Photo Editor

Miracle: Baby Photo Editor

Assistant App Teknoloji Anonim Sirketi

Photo & Video免费v2.1.29
App Store
评分

4.5

778 条评分

星级

★★★★★

最近更新

2026年5月9日

发布日期

2022年12月6日

更新内容

v2.1.29

• New Mother's Day content • Bug fixes • UI/UX improvements

应用信息

开发者
Assistant App Teknoloji Anonim Sirketi
分类
Photo & Video
价格
免费
版本
2.1.29
App ID
6444831036

简介

Miracle is a baby photo editing app that uses various backdrops, fun fonts, hand-picked themes, and stickers to make sweet artwork out of your memories. It's a cute way to turn your pregnancy and baby pics into adorable visuals and track your baby's journey month by month. Create beautiful visual stories throughout your pregnancy journey and your baby's first weeks and months with Miracle: Baby Photo Editor. This way, you can have adorable pictures, and keep track of your baby's growth and milestones simultaneously. No need for any Photoshop skills or expensive professional photoshoots. All you need is an iPhone! How does Miracle works? Miracle baby app creates adorable pictures of your baby and you and replaces the background with cute themes automatically by cutting-edge artificial intelligence. So, you can automatically remove the background from your newborn’s photos and insert beautiful themed backdrops for them. What does Miracle offer? - Pregnancy and baby milestone tracker - Fun baby photo art - Various cute emojis and stickers - A collection of enchanting fonts - More than 100 different templates, themes, and backgrounds to create sweet baby story art - High-quality photography studio at home - Easy and practical photo edit - Template categories such as newborn, pregnancy, cozy nests, boho, mini beds & tub, teddy bear, colors, animals, evite / invitation maker for baby parties, and much more! Download Miracle Now: Start Creating Memories from Your Baby’s Journey! Privacy & Terms : https://assistantapp.net/privacy-terms.html

下载量预测

专业 · 预览

预估总下载量

56K39K97K
保守估计乐观估计

926

低 / 月

1K

预估 / 月

2K

高 / 月

基于778 条评分
假设评分率1.4%
应用年龄42 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。