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PictoPy Features

  • Intelligent Photo Tagging: Automatically tags photos based on detected objects, faces, and facial recognition.
  • Traditional Gallery Management: Complete album organization and management tools.
  • Memories Feature: Automatically organize photos into meaningful collections based on location and date, with Google Photos-style presentation.

Advanced Image Analysis

  • Object detection using YOLOv11 for identifying various items in images
  • Face detection and clustering powered by FaceNet.
  • Spatial Clustering: Groups photos by location using DBSCAN algorithm (5km radius)
  • Temporal Grouping: Organizes photos by date with monthly grouping
  • Reverse Geocoding: Identifies actual city names from GPS coordinates

Privacy-Focused Design

  • Entirely offline: All data stays on your local machine.
  • No reliance on remote servers for processing.
  • Models are stored locally and customizable by the user.

Efficient Data Handling & Processing

  • Lightweight SQLite database for storing image metadata, face embeddings, and album info.
  • Background image processing using asyncio for a smooth UI experience.

Smart Search & Retrieval

  • Search photos based on:
  • Detected objects
  • Recognized faces
  • Embedded metadata
  • Find visually or semantically similar images

Memories Feature

Automatically creates meaningful photo collections inspired by Google Photos:

On This Day

  • Shows photos from the same date in previous years
  • Featured card display with "On this day last year" messaging
  • Nostalgic look back at past moments

Smart Grouping

  • Location-based Memories: Groups photos taken at the same location (5km radius using DBSCAN clustering)
  • Displays as "Trip to [City Name], [Year]" (e.g., "Trip to Jaipur, 2025")
  • Uses reverse geocoding to show actual city names
  • Supports 30+ major cities worldwide
  • Date-based Memories: Groups photos by month for images without GPS data
  • Perfect for photos without location metadata
  • Organized chronologically

Intelligent Filtering

  • Filter by All, Location, or Date memories
  • View counts for each category
  • Seamless navigation between memory types

Memory Sections

  • Recent Memories: Last 30 days of captured moments
  • This Year: All memories from the current year
  • All Memories: Complete collection organized by recency

Rich Viewing Experience

  • Full-screen image viewer with zoom support
  • Slideshow mode for automatic playback
  • Image metadata panel with EXIF data
  • Keyboard shortcuts (Space, arrows, +/-, R, ESC)
  • Thumbnail navigation strip
  • Favorite marking and folder opening

Technical Implementation

  • Backend: Python with DBSCAN clustering algorithm
  • Frontend: React + Redux Toolkit for state management
  • Real-time memory generation with configurable parameters
  • Flexible clustering: works with date OR location (not both required)
  • Efficient SQLite queries for fast retrieval

Cross-Platform Compatibility

  • Available on major operating systems (Windows, macOS, Linux)

Technical Stack

Component Technology
Frontend React
Desktop Framework Tauri
Rust Backend Rust
Python Backend Python
Database SQLite
Image Processing OpenCV, ONNX Runtime
Object Detection YOLOv11
Face Recognition FaceNet
API Framework FastAPI
State Management Redux Toolkit
Styling Tailwind CSS
Routing React Router
UI Components ShadCN
Build Tool Vite
Type Checking TypeScript