LyAhn 334ac54e00 perf(workers): scaled embedding preprocessing and idle-only backoff
- Embedding and tagging workers now sleep their backoff interval
  (500ms/750ms) only when the queue is empty, the model is not ready,
  or a batch errored — previously every batch paid the sleep even with
  work pending.
- CLIP preprocessing no longer decodes originals at full resolution:
  decode_for_thumbnail is generalized into decode_image_scaled with a
  cover mode (shortest side >= target) and the embedder decodes JPEGs
  at the smallest DCT scale covering its 224px fill-crop, in parallel
  via rayon. The forward pass, not image decode, is now the dominant
  embedding cost.
- EXIF orientation is now applied before embedding, so rotated photos
  embed the way they are displayed (previously embedded sideways).
  Existing stored embeddings are unaffected.
2026-06-12 09:00:25 +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%