4.7
11,342 条评分
★★★★★
2026年4月20日
2023年6月1日
更新内容
v1.6.1Improved performance and stability
应用信息
- 开发者
- Nhu Nguyen Thi
- 分类
- Reference
- 价格
- 免费
- 版本
- 1.6.1
- App ID
- 6449354786
简介
What bird is it? Bird Sounds Identifier Call ID can tell you! Bird Sounds Identifier Call ID is a remarkable app designed to assist bird enthusiasts and nature lovers in identifying birds with ease. This powerful application offers two primary features for identifying birds: image recognition and bird song identification. Simply take/upload a picture of a bird or record a bird's sound, and you can get everything you want to know about it. Key Feature : - Easily Identify birds by their pictures or sounds - Identify up to 10,000+ bird species with incredible accuracy - Bird Sounds Identifier includes photos of each species to help with visual identification. - Bird Sounds Identifier provides detailed information about each species, such as habitat, behavior, and diet. - Easy and friendly user interface Whether you're curious about the name of a bird you've encountered, eager to learn bird-feeding techniques, or looking to educate your children, Bird Sounds Identifier Call ID provides the easiest and most effective solutions. Download the Bird Sounds Identifier Call ID app today and join a community bird enthusiasts, as we explore the enchanting world of ornithology together! Subscription auto-renew at the end of subscription period, unless cancelled 24-hours in advance prior to the end of the current period. The subscription fee is charged to your iTunes account at confirmation of purchase. You may manage your subscription and turn off auto-renewal by going to your Account Settings after purchase. Per Apple policy, no cancellation of the current subscription is allowed during active subscription period. Once purchased, refunds will not be provided for any unused portion of the term. Terms of use: https://sites.google.com/view/birdsongai/terms-of-service Privacy policy: https://sites.google.com/view/birdsongai/privacy-policy
下载量预测
预估总下载量
16K
低 / 月
23K
预估 / 月
45K
高 / 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。
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下载数据为预估值 · 每6小时更新