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Draw Anime - AR Tracing App

Draw Anime - AR Tracing App

Braly JSC

Art & Design免费v1.1.28Android
Google Play
评分

4.3

98,967 条评分

星级

★★★★☆

最近更新

2026年5月11日

发布日期

2025年1月8日

更新内容

v1.1.28

Draw Anime version 1.1.28 12/02/2025<br>- Improve performance<br>- Fix bugs

应用信息

开发者
Braly JSC
分类
Art & Design
价格
免费
版本
1.1.28
安装量
10,000,000+
包名
com.draw.sketch.ardrawing.paint.anime

简介

💕 Discover the joy of anime drawing with our "Draw Anime: AR Drawing Sketch" app! Whether you're a beginner or an experienced artist, our app provides step-by-step anime tutorials to help you create stunning artwork. 🖌️ Draw Sketch and Trace Anime: Use your device's camera to infuse real-world elements into your Anime sketches. Watch as your surroundings blend seamlessly with your imaginative creations. 📌AR Drawing Anime - Fun for Everyone: Ideal for teenagers and anime fans who want to learn drawing anime in a fun and engaging way - Step-by-steps guidance: Our tutorials break down the drawing process into manageable steps, everyone can learn - Enhance youraAR Draw Sketch with advanced options: Extend, Adjust Opacity, On/Off Flashlight - Lock and Reset. 🔎 Artwork - Track your artistic journey with Artwork on AR Drawing Sketch Paint. Gain insights into your progress and achievements as you explore the world of augmented reality art. - Save Your Favorites: Keep track of the characters you want to master and access them quickly. - Save or share perfect AR Drawing with your friends. 🎀 Download Draw Anime: AR Drawing Sketch now and have fun and express yourself through art If you have any questions or contributions to the AR Drawing app, please contact us via email: feedback.drawsketch@bralyvn.com. We value your contributions and will do our best to meet all requirements and improve product quality. Terms of Use: https://bralyvn.com/term-and-condition.php Privacy Policy: https://bralyvn.com/privacy-policy.php

下载量预测

专业 · 预览

预估总下载量

7.3M4.9M14.1M
保守估计乐观估计

309K

低 / 月

458K

预估 / 月

884K

高 / 月

基于98,967 条评分
假设评分率1.4%
应用年龄16 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。