Case Study
TagCam – AI Photo Search
TagCam is a specialized camera app that makes searching and tagging photos a breeze. It has a built-in AI based on GPT which you can ask for any photo, and it will find it.
Organization
Zero-Manual Sorting
Security
Private App Gallery
Workflow
Instant Cloud Sync
The challenge
Professional photographers struggle with photo clutter. Business photos get lost in personal camera rolls, and crucial context (dates, project IDs, locations) is often forgotten by the time it is needed.
Our approach
- Sorted Photo Gallery: Photos can be tagged manually or AI-based, making photo management fun and easy.
- Face Recognition Engine: Developed proprietary tagging and face recognition technology.
- Smart Folder Architecture: Designed a Tag-First workflow where users select their destination folder before shooting, ensuring instant organization.
- Integrated OCR Technology: Implemented text recognition to allow users to search for text within their captured photos.
Feature highlights
Technical wins that materially improved UX, performance, or security for this product.
Duplicate Photo Detection & Removal
Quickly scan your library to identify and remove duplicate photos, freeing up valuable storage space in seconds.
Face Recognition & Tagging
Easily group and tag your photos using advanced face recognition. Search for photos of your loved ones with just a tap.
Folder & Album Management
Create and organize your photo folders and albums seamlessly. Sort your memories the way you want.
Stacking for a Cleaner Gallery
Group similar photos into stacks for a tidy and organized gallery view. Perfect for burst shots and similar captures.
Smart Cleanup Tools
Delete unnecessary photos with precision. Clean up your camera roll without worrying about losing important memories.
Technical stack
A clear breakdown of how this product is architected across frontend, backend, and infrastructure.
Frontend
- Native iOS (Swift)
- SwiftUI
- Combine
Backend
- Firebase for user sync
- Cloud Functions for metadata processing
Infrastructure
- Apple CloudKit
- iOS Vision Framework (for OCR)
Technical feature list
From onboarding to the core experience.
Shooting with active watermark overlays and folder selection.
Creating and managing the hierarchical folder structure.
Navigating the organized, private business photo library.
One-tap cloud backup and professional PDF/Image export.
Have a similar challenge in mind?
We can adapt this architecture to your use case, stack preferences, and compliance requirements.