PictoPy Features
Gallery Application
- Intelligent Photo Tagging: Automatically tags photos based on detected objects, faces, and facial recognition.
- Traditional Gallery Management: Complete album organization and management tools.
Advanced Image Analysis
- Object detection using YOLOv8 for identifying various items in images
- Face detection and clustering powered by FaceNet.
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
- 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 |
YOLOv8 |
| 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 |