This app uses a local large language model to let you search your photo albums using natural language descriptions. It prioritizes privacy by operating offline, but can optionally connect to iCloud to download original photos. Indexing your library is a one-time process, with easy updates for new pictures.
2.1.3
August 1, 2026
本次更新集中修复了几个重要问题： • 修复部分设备上搜索失灵的问题（搜什么都返回同一批结果，多发生在测试版系统上） • 修复选择「仅限所选照片」后，一直卡在「加载照片中…」的问题 • 修复部分大相册设备打开即闪退的问题 • 照片详情页新增「查看相似照片」按钮，找相似不再需要摸索手势 • 多项稳定性改进，对新系统的兼容性更好 感谢每一位反馈问题的用户。遇到问题欢迎随时联系我们。
More谢谢你的好评！👻
抱歉，苹果不允许
请更新，已经支持显示图片占存储空间大小了。
试试看最新版是否修复了这个问题呢
寻隐 allows you to search your photo albums using natural language descriptions. It leverages a local large language model to understand your queries, making it easy to find specific photos without manual scrolling.
寻隐 is designed to operate completely offline, ensuring your photos never leave your device. You can even disable its network permissions for maximum privacy. The option to download iCloud photos requires explicit user permission.
寻隐 requires iOS 16.0 or later. It also specifically supports M1 chip or newer Macs and iPads. The Mac version is not actively maintained.
The initial indexing process typically takes a few minutes, with a processing speed of approximately 2000 photos per minute. This is a one-time setup, and you can easily update the index for new photos later.
Yes, 寻隐 offers an option to allow network access for downloading original photos from iCloud if they are not stored locally. Alternatively, you can manually locate these photos in your album using date information.
If you encounter crashes during index building, try disabling low power mode and closing memory-intensive apps like WeChat from the background. Then, attempt to rebuild the index again.
The latest version of 寻隐 is 2.1.2, which was last updated on 2026-07-09. This indicates a recent update, suggesting ongoing development and support.
寻隐 has received positive recognition, including features on prominent platforms and a high average rating of 4.7 stars from 226 ratings. Users appreciate its advanced semantic understanding and privacy features.
