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Rock Identifier: Rock ID

Rock Identifier: Rock ID

Liberace AI

Education免费v2.0
App Store
评分

4.9

9 条评分

星级

★★★★★

最近更新

2026年3月28日

发布日期

2025年3月23日

更新内容

v2.0

Identifying rocks is even faster now! General performance improvements.

应用信息

开发者
Liberace AI
分类
Education
价格
免费
版本
2.0
App ID
6743675929

简介

Discover the World of Rocks, Gemstones and Minerals with Rock ID. Whether you're a geology enthusiast, a rock collector, or just curious about the stones around you, Rock ID combines cutting-edge AI with a passion for earth sciences. Here’s why it’s a must-have for your outdoor adventures: AI-Powered Rock Identification – Instantly recognize rock, gemstones and mineral types with a simple photo. Our advanced AI technology quickly analyzes and identifies a vast range of rocks, making it the perfect companion for hikers, geologists, and curious explorers alike. Smart Rock Finder – Enhance your explorations with our intuitive rock finder. Whether you're in a desert, a mountainside, or by the river, Rock ID provides expert insights to help you locate and identify rocks nearby—like having a geologist in your pocket. Detailed Rock Scanner – Gain in-depth knowledge about every rock you discover. From rare gemstones to common minerals, our scanner offers valuable details on composition, formation, and uses, turning every encounter into an educational experience. Extensive Rock Database – Access a comprehensive library of rock and mineral species, perfect for learning, collecting, or research. With Rock ID, you’ll always be well-informed about the geological wonders around you. Start exploring the natural world today with Rock ID—your smart companion for identifying and learning about rocks, gemstones and minerals like never before. We do not collect any data. You can review our privacy policy at https://rock-id.apphq.online/privacy. By using this app, you agree to the terms outlined in 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

6674501K
保守估计乐观估计

32

低 / 月

48

预估 / 月

92

高 / 月

基于9 条评分
假设评分率1.4%
应用年龄14 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。