Dotient
Local-first desktop application for ML-powered file visual search
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Dotient is a local-first desktop application designed to help users organize and search through their personal files using ML-powered visual search. It operates fully offline, ensuring that personal files remain private and never leave the user's machine. By embedding files with a quantized vision and text model, Dotient allows users to find files by describing what they look like rather than guessing filenames. It features an interactive node graph to visualize file similarities, 'Cubbies' for organizing related collections, and 'Signal Tuning' for users to custom fine-tune their search results.
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- Visual Search using natural language
- Visualize with the Graph to view similarity clusters
- Organize with Cubbies for collections, moodboards, and to-do lists
- Signal Tuning in the Lab to custom fine-tune search results
- Local-first privacy operating fully offline
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To use Dotient, first drop any personal files into the application to import them locally. The built-in quantized vision and text model will then index and embed your files to create searchable profiles. Once indexed, you can search your archive using natural language descriptions of what the files look like.
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- Photographers searching through thousands of shoots instantly by describing the shot without manual tagging
- Designers dumping reference images into cubbies to create moodboards and design annotations
- Individuals searching their untagged personal camera roll for specific memories like a 'beach sunset'
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