Geotag: GPS Camera & Spatial Reporting

A high-precision GPS camera and location-tagging tool designed for professional site inspections, travel documentation, and verified media capture.

Geotag is a powerful iOS utility that merges high-definition photography with real-time geospatial data. Engineered for industries requiring verified visual proof - such as construction, banking, and field research - the app overlays precise coordinates, weather conditions, and timestamps directly onto media. It features an advanced folder-based management system and professional PDF reporting tools to transform raw captures into actionable documentation.

Core Features

Dynamic Data Overlays: Real-time rendering of GPS coordinates, address, weather (temp/wind), compass heading, and altitude directly on the camera preview.
Smart Folder Categorization: Dedicated modules for "Site Visits," "Bank Verifications," and "Inspections" to keep professional assets organized.
High-Fidelity Media Capture: Toggle between Photo and Video modes with native iOS camera optimizations.
Professional PDF Reporting: Export captured media into branded PDF documents with orientation controls (Portrait/Landscape) for official submissions.
Geospatial Media Gallery: Integrated map view and grid gallery to relive moments or verify site data via spatial context.
Secure Cloud Sync & Export: Seamless sharing options and secure storage for sensitive inspection data.

Technical Stack

Frontend & UI/UX: SwiftUI and UIKit (Hybrid), Figma for high-fidelity prototyping and design flow.
Core Frameworks:
- CoreLocation: For high-precision latitude/longitude tracking and geofencing.
- AVFoundation: For advanced camera controls, video processing, and custom overlays.
- CoreMedia: For managing metadata timestamps and synchronization.
APIs & Integrations:
- MapKit / Google Maps API: For real-time map rendering and coordinate picking.
- OpenWeatherMap API: To fetch live environmental data (temperature, wind speed) based on GPS data.
- CoreMotion: To drive the real-time compass and altitude sensor data.
Backend & Storage: Node.js REST API with MongoDB (as per your backend preference) for user profiles and cloud backups.
Reporting: PDFKit for native PDF generation and asset formatting.

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