LyAhn d1eb75a4f5 feat(settings): add compact database card to General section
Adds get_database_info and vacuum_database Tauri commands. The General
section now shows current DB size and reclaimable space on load, with a
Compact now button that runs PRAGMA wal_checkpoint(FULL) + VACUUM and
reports how many MB were freed. Button disables automatically when the
database is already compact (< 0.5 MB reclaimable).
2026-06-09 00:40:05 +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.
S
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%