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Pic Motion: Make Photos Lively

Pic Motion: Make Photos Lively

Next edu

Photography免费v4.8Android
Google Play
评分

4.1

725 条评分

星级

★★★★☆

最近更新

2026年4月7日

发布日期

2020年12月25日

更新内容

v4.8

v4.8<br>1.Optimist the interaction of particle effects<br>2.Enlarge the selection box for stickers, text, etc<br>3.Fixed crash bugs<br>4.Optimist performance<br>5.The minimum supported version has been updated to Android 7.0

应用信息

开发者
Next edu
分类
Photography
价格
免费
版本
4.8
安装量
100,000+
包名
com.pic.motion.loop

简介

Pic Motion is an excellent app to create picture animator that stands out of the crowd; Using Pic Motion you can make live photos, live wallpapers, moving backgrounds & themes with animation effects.🔥 Pic Motion animation creator brings your static photos to motion photo in just a few taps. The creative possibilities are endless, from a flicker of flame to cascading waterfalls.🔥 🌟🌟🌟🌟🌟 Main Features: - You can add animation to certain parts of your photos. - You can create the best motion picture using our dynamic effects - Waterflow: you can make the water in your picture move naturally - You can make your picture move with our presets and create a living wallpaper. - Export as video or GIF - Hd live wallpaper: set the live motion photo with effects as live wallpaper - Share to your friend or social media like Instagram, Facebook, Tiktok 💡 How to make your photos lively: 1. Tap the [+] icon to select a photo. 2. Select and apply one or more dynamic effects, customize them. 3. Save your artwork as a looping video or GIF. 4. Share your artwork on social media like Instagram, Facebook, Tiktok, Twitter or Snapchat! Easily stand out from the crowd of the social media, amazing your friends. ❤️ Pic Motion serve as video creator, gif animator and wallpaper maker, with just one static beautiful picture, choosing your favorite motion to create your own blockbuster motion artwork! 👉 Download Pic Motion and make your awesome motion graphics!

下载量预测

专业 · 预览

预估总下载量

54K36K104K
保守估计乐观估计

549

低 / 月

814

预估 / 月

2K

高 / 月

基于725 条评分
假设评分率1.4%
应用年龄66 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。