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Desktop Docs
Document management
Paid

Desktop Docs

Privacy-first macOS app using ML for semantic search and management of local photos and videos without cloud uploads.

Rating
0
Reviews
0
Upvotes
4 months ago
Listed
Document management
Semantic Search
Local AI
Photo Management
Video Search
Privacy
File Organizer
Tool information
Provider
Desktop Docs
Platforms
macOS
Languages
English
Added to directory
4 months ago
Last updated
about 2 months ago
Rating
Not available
Pricing
Paid

About Desktop Docs

What the tool does and who it's for

Desktop Docs is a privacy-focused local file management and search application built for macOS. Originally developed with Electron and recently rebuilt in Rust and Tauri for maximum performance, it uses machine learning (CLIP embeddings) to enable semantic search across your local photos and videos. Unlike traditional keyword-based search, it allows users to find files using natural language descriptions or reverse image search, all while keeping data entirely on the device. It simplifies the process of browsing, editing, and exporting assets by indexing content based on visual meaning rather than just filenames.

Key capabilities

Local Semantic Search: Find photos and videos using natural language descriptions (e.g., 'sunset at the beach').
Privacy-First Architecture: All machine learning models and indexing stay 100% on your local machine.
Reverse Image Search: Upload a reference image to find similar scenes or files in your local library.
Rust-Powered Performance: Rebuilt from Electron to Rust/Tauri for an 83% smaller app size and faster indexing.
Video Indexing: Efficiently processes long-form video content to find specific moments via text.
Batch Exporting: Easily select and export found assets for use in other projects.
Offline Capability: Works entirely without an internet connection once installed.
High-Speed Indexing: Optimized processing that can index a 30-minute video in approximately 3 minutes.

Pricing

Paid — plans below

Lifetime License

Most popular

$24.99

  • One-time purchase
  • Unlimited local indexing
  • Semantic search for photos and videos
  • Reverse image search
  • Privacy-focused local processing

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