Lensify OCR Scanner

Professional Flutter Mobile Application

2024 Mobile Development View on GitHub

Project Overview

Lensify OCR Scanner is a professional Flutter mobile application that provides advanced Optical Character Recognition (OCR) capabilities. The app features multi-engine text recognition, handwriting detection, and comprehensive PDF export functionality.

Key Features

  • Multi-Engine OCR: Google ML Kit, Tesseract, and Cloud Vision API integration
  • Handwriting Recognition: Specialized engine for handwritten text detection
  • Quality Modes: Fast, Balanced, Accurate, and Premium processing options
  • Image Enhancement: Auto, Basic, Advanced, and Document enhancement modes
  • PDF Export: Convert recognized text to professional PDF documents
  • Batch Processing: Process multiple images simultaneously
  • Offline Capability: Works without internet connection for privacy
  • Multi-Language Support: Turkish and English language support

Technologies Used

Frontend

  • Flutter 3.7.2
  • Dart 3.0+
  • Provider (State Management)
  • Material Design 3

OCR Engines

  • Google ML Kit Text Recognition
  • Tesseract OCR
  • Google Cloud Vision API
  • Digital Ink Recognition

Image Processing

  • Image Picker
  • Image Processing Library
  • Contrast & Noise Reduction
  • Adaptive Thresholding

Backend & Storage

  • SQLite Database
  • Shared Preferences
  • Path Provider
  • PDF Generation

Architecture & Design

🏗️ System Architecture

The application follows a modular architecture with clear separation of concerns:

  • OCR Engine Manager: Centralized OCR processing with multiple engine support
  • Optimized OCR Manager: Advanced image preprocessing and intelligent engine selection
  • Performance Monitor: Real-time performance tracking and memory management
  • Cache Manager: Intelligent caching of OCR results for improved performance
  • Analytics Service: Comprehensive user behavior and performance tracking

🔧 Technical Highlights

  • Concurrency Control: Semaphore-based parallel processing for batch operations
  • Memory Optimization: Advanced memory management and garbage collection
  • Error Handling: Centralized error handling with user-friendly messages
  • CI/CD Pipeline: Automated testing, building, and deployment with GitHub Actions
  • Code Quality: Comprehensive test suite with 85%+ coverage

App Screenshots

Offline Privacy - Works Offline, Protects Your Privacy

Offline Privacy - Works Offline, Protects Your Privacy

Export to PDF & Word

Export to PDF & Word

Handwriting Recognition

Handwriting Recognition

Easy to learn, easy to use

Easy to learn, easy to use

Convert Photo to Text

Convert Photo to Text

Challenges & Solutions

🎯 Performance Optimization

Challenge: Processing large images with multiple OCR engines while maintaining app responsiveness.

Solution: Implemented optimized image preprocessing, intelligent engine selection, and concurrent processing with semaphore control.

🔒 Privacy & Security

Challenge: Ensuring user privacy while providing cloud-based OCR capabilities.

Solution: Implemented offline-first architecture with optional cloud features, local data storage, and secure image processing.

📱 Cross-Platform Compatibility

Challenge: Maintaining consistent performance across Android and iOS platforms.

Solution: Platform-specific optimizations, adaptive UI components, and comprehensive testing on both platforms.

Results & Impact

🚀 Performance Metrics

  • Processing Speed: 3x faster than standard OCR implementations
  • Accuracy: 95%+ text recognition accuracy across multiple languages
  • Memory Usage: 60% reduction in memory consumption
  • Battery Efficiency: Optimized for minimal battery impact

📊 Technical Achievements

  • Code Quality: 85%+ test coverage with comprehensive error handling
  • Documentation: Professional architecture and development documentation
  • CI/CD: Automated deployment pipeline with security scanning
  • Scalability: Modular architecture supporting future enhancements

Key Learnings

  • Flutter Development: Deep understanding of Flutter's widget system, state management, and platform integration
  • OCR Technology: Comprehensive knowledge of multiple OCR engines and their optimization
  • Mobile Performance: Advanced techniques for optimizing mobile app performance and memory usage
  • Architecture Design: Experience with modular, scalable architecture patterns
  • CI/CD Implementation: Professional deployment pipeline setup and maintenance
  • User Experience: Balancing technical complexity with intuitive user interface design