PICAZHU desktop photo viewer interface background
Local-first desktop photo viewer & image browser

PICAZHU: Free Desktop Photo Viewer & Image Browser — Browse your media.
Not someone else's library.

Point to your real folders. Index photos and videos instantly. Browse everything through a fast, beautiful, folder-first photo viewer — without importing a single file.

Local-first·No forced imports·Your folders, untouched
PICAZHU desktop photo viewer for macOS — folder sidebar, AI tag list, media grid, and metadata details panel

A visual photo viewer & image browser.
Not a bloated photo manager.

Point to a folder

Choose any folder on your drive

Index instantly

Lightning-fast media discovery

Browse beautifully

Visual grid, previews, details

Files stay put

No imports, no copies, no lock-in

 

Photos browsed smoothly

 

Indexing speed

 

Files moved or copied

 

Your control, your folders

A complete photo viewer & image browser —
everything you need. Nothing you don't.

Folder-first navigation

Your real directory structure, front and center. Breadcrumbs, pinned, recent.

Virtualized media grid

Smooth scrolling across thousands of files with adjustable thumbnail size.

Preview & inspector panel

EXIF, GPS, camera info, video codec, and full preview in one view.

Quick preview

Instant full-screen preview — Space for native Quick Look on macOS.

Search & saved searches

Filenames, paths, metadata, OCR, and AI tags. Save any query for one-click recall.

Smart filter chips

Images, videos, date ranges, file size, AI-analyzed, favorites — all combine with search.

Favorites

Star any photo or video. Filter to show only your best work.

Tag cloud sidebar

AI tags sized by frequency. Click any tag to filter your whole library instantly.

Pinned & recent folders

Bookmark your most important locations and jump back fast.

HEIC support

Windows WIC + bundled libheif fallback. Modern camera formats just work.

iPhone import (Windows)

USB import via portable-device access. Visual picker, dedupe, auto-rename.

Drag & drop folders

Drop folders from Finder or Explorer to add them as watched roots.

Live folder watching

FSEvents-based monitoring picks up adds, deletes, renames, and moves automatically.

Light & dark themes

Runtime theme switching backed by tested dynamic resources.

Select & export originals

Multi-select with keyboard or mouse. Export real files — no conversions, no lock-in.

Video playback & previews

Visual video cards with full preview and playback, not just thumbnails.

Right-click actions

Open, reveal in folder, copy path, export, analyze, clear AI — all from context menus.

Keyboard navigation

Arrow keys move selection, Enter opens, Cmd/Ctrl shortcuts for everything.

Diagnostics & recovery

Find broken files, surface stale bookmarks, rebuild the catalog any time.

Streaming indexing

500-file batches commit progressively. Pause, resume, or stop anytime.

Built for creatives who
manage real-world photo collections.

Photographer shooting at sunset with a DSLR camera
Photographer reviewing photos in a studio environment

The old way

Forced to import into a proprietary library
Can't browse real folders visually
Slow, bloated interfaces
Too many features you never use
Files locked away in opaque databases

The PICAZHU way

Browse your real filesystem directly
Visual grid that's fast and beautiful
Clean, minimal, zero clutter
Focused tools for browsing and previewing
Your files stay exactly where they are
PhotographersVideographersContent CreatorsEditorsArchivists
Creative photography workspace background

See the photo viewer in action.

Interactive mockups of the PICAZHU image browser interface.

The Full Picture

Library sidebar, media grid, preview panel, and live indexing status — all in one clean, focused interface.

PICAZHU desktop photo viewer for macOS — folder sidebar, AI tag list, media grid, and metadata details panel
PICAZHU folder-first library sidebar with pinned folders, recent locations, and AI tag cloud

Folder-First Navigation

Your real directory structure, pinned folders, recent locations, and saved searches — all curated entry points into your media library.

PICAZHU preview panel with file size, dimensions, modified date, path, and AI analysis caption

Preview & Details

Inspect any image or video before opening it. Open originals, show in folder, or launch Quick Preview — all one click away.

Visual Media Grid

Browse your photos and videos in a responsive grid with real file paths, dimensions, and metadata at a glance.

PICAZHU media grid showing photos and videos with AI badges, durations, and filename labels

Quick Preview

Focused full-size viewing without leaving the browser. See every detail at full resolution in a dedicated window.

PICAZHU Quick Look preview overlay over the media grid with app version and key features
PICAZHU AI Settings dialog — switch between Local Ollama, Ollama Cloud, and OpenAI providers and pick vision and embedding models

AI & Settings

Configure thumbnail caching, enable AI globally, and connect your local Ollama endpoint — all from the settings panel.

JPG·PNG·HEIC·MP4·MOV·RAW·Folder Browsing·Quick Preview·Batch Export·OCR Search·Visual Tags·Keyboard Shortcuts·JPG·PNG·HEIC·MP4·MOV·RAW·Folder Browsing·Quick Preview·Batch Export·OCR Search·Visual Tags·Keyboard Shortcuts
Privacy and security concept background

Your files. Your rules.
Always.

No uploads, no cloud, no accounts

Everything stays on your computer. No sign-ups, no subscriptions, no telemetry.

AI is always your choice

Off by default. Run fully local with Ollama or LM Studio, or pick a cloud provider — your call, one toggle.

Thumbnails-only to AI

AI models only ever see 512px thumbnails from the cache. Your original files never leave the app.

Local SQLite catalog

WAL-mode database, crash-safe, lives under your user folder. No background sync, no remote storage.

Pause, resume, or stop anytime

You're in charge of indexing. Walk away and pick up where you left off.

Export originals — never locked in

Files are never converted or trapped. Export the real thing — proprietary library not required.

PICAZHU Windows desktop application background
AI-powered image recognition and visual tagging background
Partially available

Future-ready intelligence.
Always optional.

Live

Per-folder opt-in

Right-click any folder to analyze it. Nothing runs automatically — you decide what gets processed.

Live

Structured visual tagging

Caption, 5–15 tags, detected objects, scene, and confidence score for every image.

Live

Apple Vision OCR

On-device text extraction from signs, labels, and screens — fully searchable across your library.

Live

10-language OCR

English, Russian, French, German, Spanish, Italian, Portuguese, Chinese, Japanese, Korean.

Live

Video keyframe analysis

Extracts 5 frames per video, runs VLM + OCR in parallel, merges into one searchable result.

Live

Hybrid semantic search

FTS5 full-text + cosine-similarity ranking over caption embeddings. Search what you mean.

Cross-library tag merging

On the roadmap · Unified tag taxonomy across all your watched roots.

Embeddings on Windows

On the roadmap · Hybrid semantic ranking parity coming to the Windows build.

Local Ollama+Ollama Cloud+OpenAI GPT-4o+LM Studio
Switch providers in one toggle · Thumbnails only · Originals never leave your machine
Creative workflow photography background

How PICAZHU works — three steps. That's it.

01

Choose your folders

Point PICAZHU at any directory on your drive.

02

PICAZHU indexes everything

Photos, videos, metadata — discovered in seconds.

03

Browse, search, preview

A fast visual interface built for real workflows.

04

Select and export your best work

Pick favourites, export originals. No conversions, no lock-in.

Frequently asked questions

Everything you need to know about PICAZHU.

Download PICAZHU photo viewer call-to-action background

Your photos deserve a better organizer
than a bloated library.

Get PICAZHU and take back control of your media workflow. Fast, visual, and built for the way you actually work.

Windows — Open Source

Download the latest signed-ready installer or portable build, browse releases, file issues, or contribute on GitHub.

View on GitHubBrowse releases →