Local-first desktop app for ML-powered visual file search.
What it does
Enables natural language search to find files based on visual and semantic content without needing filenames.
Allows visual similarity searching where users can click an image to find conceptually or visually related files.
Provides a node-based graph visualization to view archives, auto-detecting clusters and similarity patterns between files.
Supports file organization through 'Cubbies,' allowing users to create collections, annotate files, and build mood boards.
Why it works
Local-first architecture ensures all data remains on the user's machine, providing superior privacy over cloud-based alternatives.
Visual search capability removes the burden of manual file naming, tagging, or complex folder maintenance.
Rust-based backend threads ensure high performance and responsiveness even when indexing large file collections.
It adapts to how users think about their files rather than forcing rigid organizational hierarchies.
Local-first desktop app for ML-powered visual file search.
Overview
Dotient is a privacy-focused, local-first desktop application that allows users to organize and search personal files using ML-powered visual and semantic search. It eliminates the need for manual tagging or folder management by letting users describe files in natural language or find similar visual content. All processing, indexing, and embeddings occur entirely on-device, ensuring complete data privacy and offline functionality.
Founded year:2024
Founder:Declan
Team size:1
Popularity:Niche, privacy-focused productivity tool for creative professionals.
Enables natural language search to find files based on visual and semantic content without needing filenames.
Allows visual similarity searching where users can click an image to find conceptually or visually related files.
Provides a node-based graph visualization to view archives, auto-detecting clusters and similarity patterns between files.
Supports file organization through 'Cubbies,' allowing users to create collections, annotate files, and build mood boards.
Who it's for
Creative Professionals
Photographers and Designers
Individuals with large local file archives
Privacy-conscious users
Why it works
Local-first architecture ensures all data remains on the user's machine, providing superior privacy over cloud-based alternatives.
Visual search capability removes the burden of manual file naming, tagging, or complex folder maintenance.
Rust-based backend threads ensure high performance and responsiveness even when indexing large file collections.
It adapts to how users think about their files rather than forcing rigid organizational hierarchies.
Founder story
Dotient was developed by Declan to solve the persistent frustration of lost files in disorganized personal archives. Frustrated by cloud services that harvest user data and traditional search tools that rely solely on filenames, the developer built a local, privacy-centric solution. The project focuses on utilizing on-device machine learning to make personal file discovery intuitive, visual, and secure.
Alternatives
Comparison overview
Unlike cloud-based tools that ship data to external APIs, Dotient runs entirely offline for maximum privacy.
It focuses on visual and semantic search rather than just metadata-based file organization.