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3D Modeling, Design: Shapeyard

3D Modeling, Design: Shapeyard

Magic Unicorn Inc.

Graphics & Design免费v5.16
App Store
评分

4.4

5,944 条评分

星级

★★★★☆

最近更新

2026年2月24日

发布日期

2018年9月14日

更新内容

v5.16

Bug fixes and performance improvements.

应用信息

开发者
Magic Unicorn Inc.
分类
Graphics & Design
价格
免费
版本
5.16
App ID
1397002448

简介

Try the subscription-based 3D modeling app Shapeyard! Whether it’s 3D modeling on iPhone or 3D modeling for iPad – Shapeyard lets you create detailed 3D models using easy and intuitive tools that simplify 3D modeling for beginners and even make it accessible for kids. Shapeyard’s 3D modeling tools are perfect for 3D modeling for games. If you’re wondering how to make a game, start modeling with Shapeyard and export 3D models into Roblox Studio, Unity, and Unreal Engine through the OBJ or STL formats. Elevate your 3D printing endeavors with Shapeyard, the premier mobile iOS app designed to bring your creations to life. Seamlessly create intricate 3D models for 3D printing using our intuitive tools. Unleash your imagination and explore a world of possibilities as you discover an array of 3D models that you can readily download and print in 3D. Shapeyard empowers both beginners and experts to craft the best 3D prints, providing a platform to turn 3D printing models into tangible reality. Whether you’re a seasoned designer or just embarking on your 3D printing journey, Shapeyard offers an extensive selection of 3D printing ideas and files, catering to your every need. With Shapeyard, the world of 3D printing is at your fingertips – explore, create, and print with unparalleled ease. Easily create and 3D print your models. Shapeyard allows you to export your creations into slicers and seamlessly transition to 3D printing for tangible results with unparalleled ease. Terms of Use: https://www.shapeyard.org/info/terms_of_use Privacy Policy: https://www.shapeyard.org/info/privacy_policy

下载量预测

专业 · 预览

预估总下载量

440K297K849K
保守估计乐观估计

3K

低 / 月

5K

预估 / 月

9K

高 / 月

基于5,944 条评分
假设评分率1.4%
应用年龄93 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。