Glow
Transform your photos effortlessly with AI technology.
The Challenge
Users needed an easy way to enhance their photos with professional-quality AI filters without complex editing software.
Our Solution
We built a mobile app that leverages advanced AI models to transform photos with one tap, offering a range of artistic styles and enhancements.
The Outcome
The app achieved significant user adoption with high engagement rates and positive reviews for its intuitive interface and quality results.
Overview
Glow is an AI-powered photo enhancement app that transforms ordinary photos into professional-quality images with a single tap. Built for iOS and Android using React Native, the app leverages advanced machine learning models to apply artistic styles and enhancements.
The Problem
Users wanted professional-quality photo enhancements without the complexity of traditional editing software. Existing solutions were either too complicated for casual users or produced low-quality results.
Constraints
- Cross-platform requirement (iOS and Android)
- Real-time processing expectations from users
- Cost-effective cloud infrastructure for AI processing
- App Store guidelines for image processing apps
Our Role
Bear Labs handled the complete product development:
- Mobile app architecture and development
- AI model integration and optimization
- Cloud infrastructure setup
- App Store deployment and optimization
Key Decisions
React Native for cross-platform: Chosen for faster development and code sharing between iOS and Android, while maintaining native performance for image processing.
TensorFlow for AI processing: Selected for its extensive pre-trained models and efficient mobile deployment options.
AWS Lambda for serverless processing: Enabled cost-effective scaling based on actual usage rather than fixed server costs.
Implementation
The app was built with a focus on user experience:
- One-tap enhancement workflow
- Multiple AI filter styles
- Batch processing capability
- Offline mode for basic enhancements
Results
- High user engagement with an average session time of 8 minutes
- 4.6+ star rating on both app stores
- Strong organic growth through social sharing
- Low server costs due to efficient AI model optimization
What We’d Do Differently
We would explore on-device AI processing earlier in the project. While cloud processing works well, on-device would reduce latency and improve the user experience for basic enhancements.
Relevant Services
Project Info
- Industry
- AI Photo Editing
- Category
- Mobile
- Timeline
- 4 months
- Client Type
- Internal
Tech Stack
Services
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