Metadata & AI Intelligence
Extract insights from photos and build intelligent search capabilities
Module Overview
Transform your photo browser into an intelligent system by extracting and utilizing metadata. You'll implement EXIF data processing, location mapping, and smart search functionality—all with Claude Code's assistance in handling complex data transformations and AI integration.
EXIF Processing
Extract camera settings, timestamps, and technical data
Location Mapping
Visualize photos on maps using GPS coordinates
Smart Search
Implement intelligent search across all metadata
What You'll Learn
Parse EXIF data from images using Rust libraries with Claude's help
Store and index metadata efficiently for fast retrieval
Build a location-based photo map view with clustering
Implement full-text search across photo metadata
Create smart filters based on camera settings and dates
Handle edge cases like missing or corrupted metadata
Technical Implementation
Backend Processing
• EXIF parsing with kamadak-exif
• Async metadata extraction
• SQLite for metadata storage
• Batch processing optimization
Frontend Features
• Interactive map component
• Real-time search interface
• Metadata detail panels
• Filter UI components
Metadata You'll Extract
Camera Information
• Camera make & model
• Lens information
• Focal length
• ISO speed
• Aperture (f-stop)
• Shutter speed
Location & Time
• GPS coordinates
• Altitude information
• Location names
• Capture timestamp
• Timezone data
• Date organization
AI-Powered Features
Learn how Claude Code helps you implement advanced features:
- • Generate search queries from natural language input
- • Suggest photo organization based on metadata patterns
- • Create intelligent auto-tagging systems
- • Build similarity detection algorithms