Queryable is an open-source, offline semantic photo album search tool designed for iPhone users. With this app, you can easily search for photos in your albums using text descriptions such as "photos of our gathering," "kite in blue sky," or "dog, girl, and flower." Queryable even allows you to search for photos based on the emotions depicted in them.

One of the key highlights of Queryable is its ability to use complex and long descriptions for searching, rather than just relying on object keywords. This makes it easier to find the exact photos you're looking for. Additionally, Queryable operates offline and without the need for network access, ensuring the privacy of your photo album.

To use Queryable, you'll need to initially build an index of all your photos, which may take a few minutes depending on the number of photos you have. This step is performed only once. Afterward, you can start searching for anything you want. Whenever you add new photos, you can manually update the index to make them searchable.

Queryable prioritizes your privacy and is designed to be completely offline. It never requests network access, thereby avoiding any privacy issues. If desired, you can even turn off its network permissions. For versionand above, Queryable also gives users the option to choose whether to use wireless data to fetch photos from iCloud.

Please note that Queryable requires an iPhone model that supports CoreML. It runs CoreML locally, ensuring efficient and secure photo searches. The app requires iOS 16.0 or above and has not been tested on iPad or MacOS yet.

If you encounter any issues with Queryable, such as crashes during the index building process, ensure that your iPhone meets the requirements and that low battery mode is turned off. If problems persist, you can contact the developer via email at or on Twitter at immazzystar.