AI Tech Suite

Queryable

Queryable screenshot

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About

Queryable is a macOS application that utilizes offline semantic search to help users find photos stored in their albums using descriptive text. It allows users to use any text they remember, including scenarios, tones, objects, or emotions, to locate images without the need for internet access, ensuring privacy. After an initial indexing process, users can search their photos effectively. The app is designed to run on MacOS 13.0 or later and requires M1 chips or newer models for compatibility.

Platform

Keywords

ai tool privacy offline photo search coreml

Task

Features

• user privacy assurance

• offline operation

• find photos via text description

• indexing of photos for quick search

• coreml implementation for search

FAQs

What does Queryable do?

Queryable allows you to find photos based on text descriptions offline.

How does Queryable ensure privacy?

Queryable is designed to work completely offline and does not store user data.

What devices can run Queryable?

Queryable runs on macOS 13.0 or later with M1 chips or newer models only.

What is the indexing process?

The app builds an index for the photos on the first run, taking a few minutes depending on photo count.

Is there a support for iCloud?

Queryable has limited iCloud features, only using cached, low-definition images without original views.

What to do if the app crashes during indexing?

Ensure you meet the app requirements and try closing other memory-intensive applications.

Pricing Plans

Paid

USD3.99 / one-time

• Offline search

• Semantic image search

• Privacy preservation

Social Media

Mobile Apps

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