LyAhn a4486547e8 perf(thumbnails): scaled JPEG decode and continuous worker batching
Major speedups for large-folder thumbnail generation:

- JPEGs decode through mozjpeg at the smallest DCT scale covering
  320px instead of full resolution, with catch_unwind and a fallback
  to the image crate for anything mozjpeg rejects. EXIF orientation
  preserved in both paths.
- RGB8 pipeline end to end (no RGBA round-trip) and CatmullRom resize
  in place of Lanczos3.
- Video posters grab the seeked frame directly instead of running the
  ffmpeg thumbnail filter (which decoded ~100 frames), with decode
  threads capped at 2 per process.
- Workers only sleep when the queue is empty rather than 250ms after
  every batch. Image batches commit before videos start, and videos
  run sequentially off the rayon pool (blocking ffmpeg waits were
  starving image decode) with per-item commits so progress keeps
  moving through slow stretches.
2026-06-12 08:13:12 +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%