Queryable is an application that facilitates the search within your photo album using natural language inputs. It functions in an entirely offline mode, hence securing your photo album privacy. With natural language, you can precisely search and locate specific photos in your album. For example, by inputting 'a white cat lounging on a park bench,' you can pinpoint the exact photo matching this description. Queryable ensures that your image data stays private as it operates without connecting to the internet. This tool promises an effortless yet efficient system in finding specific memories within your photo album. It is also under the MIT open-source license, indicating its methods and codebase can be freely used and modified. Users can visualize the software's operations thanks to several detailed app view screenshots provided. The application can be conveniently downloaded for use in numerous compatible devices.
F.A.Q (13)
Queryable is an application that utilizes natural language processing to enable users to search their photo album effectively. It operates offline, ensuring the privacy of users' photo albums.
Queryable uses natural language inputs to find photos. This means a user can input a description like 'a white cat lounging on a park bench' and Queryable will pinpoint the exact photo matching this description.
Natural language processing is fundamental to Queryable's function. It allows the app to understand and interpret the descriptions inputted by users, therefore enabling precise photo searches. With natural language processing, the app can recognize specific elements within these descriptions.
Queryable operates in an entirely offline mode, meaning it never connects to the internet. This feature ensures the privacy of users' photos and other potentially sensitive image data.
Queryable functions in an entirely offline mode to maintain and ensure the privacy of users' photo album. With the offline mode, there is no risk of data being shared via the internet, which reduces the risk of potential privacy breaches.
To use natural language inputs in Queryable, a user can input a detailed description of the photo they're looking for. The app can understand and interpret these descriptions to locate the specific images.
The MIT open-source license in the context of Queryable means that users are free to utilize, modify and distribute the codebase of the application as they wish without any restrictions. This provides users with the possibilities of customizing the application to meet their specific requirements.
To modify Queryable's codebase, this user would have to download it from the GitHub repository where it's hosted. From there, they can make any modifications in accordance with the MIT license. However, knowledge in programming is crucial to carry out these tasks.
With Queryable, users can search for any photo saved in their album by providing a description of the photo through inputs in natural language.
The search phrases in Queryable can be quite specific. Users can make their searches as detailed as 'a white cat lounging on a park bench', and the app would be capable of accurately finding the photo.
The only type of personal data that is potentially secured by Queryable is the users' photo album. Its offline mode functionality ensures these image data do not leave the device or connect to the internet, thus keeping it secure.
No, users don't have to possess any coding skill to use Queryable effectively. The app is designed for general users to be able to navigate and use it without necessarily being proficient in programming. However, for persons interested in altering the codebase, programming skills are necessary.
The purpose of the detailed app view screenshots in Queryable documentation is to allow users to visualize how the software operates. It can assist users in understanding the application's user interface and get a feel of its functionality before they even download or use it.