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[![Queryable](https://mazzzystar.github.io/images/2022-12-28/Queryable-search-result.jpg)](https://apps.apple.com/us/app/queryable-find-photo-by-text/id1661598353?platform=iphone)
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The open-source code of Queryable, an iOS app, leverages the OpenAI's [CLIP](https://github.com/openai/CLIP) model to conduct offline searches in the 'Photos' album. Unlike the label-based search feature built into the iOS Photos app, Queryable allows you to use natural language statements, such as `a brown dog sitting on a bench`, to search your album. Since it's offline, your album privacy won't be compromised by any company, including Apple or Google.
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The open-source code of Queryable, an iOS app, leverages the OpenAI's [CLIP](https://github.com/openai/CLIP) model to conduct offline searches in the 'Photos' album. Unlike the category-based search model built into the iOS Photos app, Queryable allows you to use natural language statements, such as `a brown dog sitting on a bench`, to search your album. Since it's offline, your album privacy won't be compromised by any company, including Apple or Google.
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[Blog](https://mazzzystar.github.io/2022/12/29/Run-CLIP-on-iPhone-to-Search-Photos/) | [Website](https://queryable.app/) | [App Store](https://apps.apple.com/us/app/queryable-find-photo-by-text/id1661598353?platform=iphone)
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