LyAhn a40e5c2771 feat: watchdog, EXIF capture date, and timeline view
Merges feat/watchdog-exif-timeline into main.

- Adaptive filesystem watchdog: switches between inotify/ReadDirectoryChanges
  and polling with zero CPU when idle; watcher events update sidebar counts live
- EXIF taken_at: extracted at index time and stored as a sortable column;
  new taken_asc/taken_desc sort orders; migration is safe on existing DBs
- Timeline view: virtualised month-grouped grid (react-virtual v3), reuses
  ImageTile/ContextMenu, Calendar icon in Sidebar, defaults to taken_asc sort
- Bug fixes: startup migration panic on existing DBs without taken_at column,
  "Unknown Date" grouping due to null created_at fallback, watcher not updating
  folder image counts, cols overflow in Timeline grid
2026-06-08 22:54:33 +01:00
2026-04-05 19:12:48 +01:00

Phokus

A local-first desktop media library for browsing, filtering, and curating image and video folders.

Features

  • Add and remove media folders; background indexing with live progress
  • Browse all media or filter by folder, type (image/video), favorites, or star rating
  • Filename search, semantic search (/s query), and tag search (/t tag)
  • Similar image search — find visually similar media by image or selected region
  • AI tagging via WD tagger (ONNX, CPU/DirectML) with confidence threshold control
  • Explore view — visual cluster map and tag cloud for browsing by theme
  • Duplicate finder — scan for exact duplicates by file hash with bulk delete
  • Lightbox preview with keyboard navigation, inline tag editing, and rating controls
  • Sort by date, name, size, rating, or duration
  • Grid density controls (compact / comfortable / detail)

Supported formats

Images Videos
jpg, jpeg, png, gif, bmp mp4, mov, m4v
tiff, tif, webp, avif, heic, heif webm

Stack

  • Tauri 2 + Rust backend
  • React 19 + TypeScript + Zustand
  • SQLite + sqlite-vec (vector search)
  • ONNX Runtime (ort) for AI tagging
  • Candle (Rust ML) for visual embeddings
  • FFmpeg sidecar for video thumbnails and metadata
  • Vite + Tailwind CSS v4

Development

Prerequisites: Node.js 20+, pnpm, Rust toolchain, Tauri system prerequisites for Windows.

pnpm install

# Run with hot-reload (frontend + Rust)
pnpm dev:app

# Frontend only
pnpm dev:vite

# Production build
pnpm build:app

How it works

  1. Add a folder from the sidebar — the Rust indexer walks it recursively.
  2. Supported files are written to SQLite with metadata (path, dimensions, media type, etc.).
  3. Background workers generate thumbnails, compute visual embeddings, and run AI tagging.
  4. Progress events stream back to the UI while the gallery updates incrementally.
  5. Embeddings power semantic search and the similar images feature via an HNSW index.
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Description
Local-first image gallery with semantic search and AI tagging (Tauri + React + Rust)
Readme MIT 14 MiB
Languages
TypeScript 60.4%
Rust 37.5%
CSS 1.3%
Shell 0.4%
JavaScript 0.2%
Other 0.2%