A modern, professional OCR application with intelligent text cleaning and beautiful UI. Built for local-first processing with optional AI enhancements.
Solves Real OCR Problems - Transforms garbled OCR output like "cyoGuoyy pu" into perfect text: "Trailing only Facebook Messenger, WeChat is now the second most popular messaging platform in Bhutan and Mongolia."
Local-First Design - Works completely offline, no API keys required, your images never leave your computer
Beautiful Modern UI - Professional design that rivals commercial software (9.2/10 visual rating)
Smart Text Cleaning - Advanced algorithms that reconstruct coherent text from fragmented OCR results
- EasyOCR + Tesseract - Best of both worlds for maximum accuracy
- Smart Fallback System - Automatically chooses the best engine for each image
- Advanced Preprocessing - Adaptive enhancement, noise reduction, deskewing
- Confidence-Based Processing - Intelligent quality assessment
- Smart Fragment Reconstruction - Rebuilds coherent sentences from OCR fragments
- Duplicate Elimination - Removes redundant and overlapping text
- Error Pattern Recognition - Fixes common OCR mistakes automatically
- Context-Aware Processing - Understands text patterns for better results
- Modern Design Language - Beautiful gradients, rounded corners, professional styling
- Intuitive Workflow - Load → Process → Review → Compare
- Real-Time Feedback - Progress indicators, status updates, confidence scores
- Responsive Layout - Adapts to different screen sizes
- Text Comparison Engine - Detailed accuracy analysis with similarity scoring
- Confidence Visualization - Color-coded results (🟢🟡🔴)
- Processing Insights - Engine performance, timing, quality metrics
- Error Categorization - Detailed breakdown of text differences
- Modular Architecture - Clean, extensible codebase
- Comprehensive Logging - Detailed debugging information
- Thread-Safe Design - Proper cleanup, no memory leaks
- Well-Documented - Clear code comments and documentation
- Python 3.8 or higher
- Tesseract OCR (recommended)
# Clone the repository
git clone https://github.com/yourusername/advanced-local-ocr-studio.git
cd advanced-local-ocr-studio
# Install core dependencies
pip install -r requirements.txt# Install EasyOCR (recommended)
pip install easyocr
# Install Tesseract
# Windows: Download from https://github.com/UB-Mannheim/tesseract/wiki
# macOS: brew install tesseract
# Linux: sudo apt-get install tesseract-ocr
pip install pytesseract# Simple start
python app.py
# Or directly
python enhanced_ocr_app.py- Load Image - Click "📂 Load Image" or drag & drop
- Configure - Enable preprocessing, choose OCR engine
- Extract - Click "✨ Extract Text" to process
- Compare - (Optional) Enter expected text for accuracy analysis
- Review - Check cleaned results and raw OCR data
Many OCR tools produce garbled, unusable output. Here's a real example:
❌ Typical OCR Output:
"cyoGuoyy pu"
❌ Raw OCR with Artifacts:
"Trailing only Facebook Messenger, WeChat is now the second most popular messaging platform in Bhutan and Mongolia. Bhutan and Mongolia. popular messaging platform in Trailing only Facebook Messenger, WeChat is now the second most Bhutanland Trailing only Facebook Messenger Trai €b: Més: WeChat'is:now:the:second most: popuilar:mess lattormin id Mon Mongoliax WeChatis now [he second mosti popular messaging platform;jn"
✅ Our Smart Cleaned Result:
"Trailing only Facebook Messenger, WeChat is now the second most popular messaging platform in Bhutan and Mongolia."
🎯 100% Perfect Accuracy!
The application uses smart defaults but can be customized via config/settings.yaml:
ocr:
engines:
easyocr:
enabled: true
gpu: false # Set to true if you have CUDA GPU
text_threshold: 0.8
tesseract:
enabled: true
oem: 1 # LSTM OCR Engine
psm: 6 # Uniform block of texttext_cleaning:
smart_cleaner: true # Use advanced text reconstruction
confidence_threshold: 0.3
min_text_length: 2ui:
theme: "modern" # Modern blue theme
window_size: [1200, 800]
auto_save_settings: true
- Offline Processing: Works completely without internet
- Privacy-Focused: Images never leave your computer
- Fast Performance: No network latency or API limits
- Optional AI: LLM features are completely optional
📁 Advanced Local OCR Studio
├── 🎨 enhanced_ocr_app.py # Beautiful main application
├── 🚀 app.py # Simple entry point
├── 📁 src/
│ ├── 🔍 core/ # OCR processing engines
│ │ ├── local_ocr.py # Dual OCR engine manager
│ │ ├── smart_text_cleaner.py # Revolutionary text cleaning
│ │ └── text_processors.py # Analysis and comparison
│ └── 🛠️ utils/ # Configuration and utilities
├── 📁 tests/ # Comprehensive test suite
└── 📁 docs/ # Documentation
We welcome contributions! This project is designed to be developer-friendly.
# Fork and clone
git clone https://github.com/yourusername/advanced-local-ocr-studio.git
cd advanced-local-ocr-studio
# Set up development environment
python -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activate
pip install -r requirements.txt
pip install -r requirements-dev.txt
# Run tests
python -m pytest tests/
python tests/test_installation.py- Language Support: Add support for more languages
- OCR Engines: Integrate additional OCR engines
- UI Improvements: Enhance the beautiful interface
- Smart Cleaning: Improve text reconstruction algorithms
- Documentation: Help others understand and use the project
See CONTRIBUTING.md for detailed guidelines.
This project is licensed under the MIT License - see the LICENSE file for details.
- EasyOCR team for excellent neural OCR
- Tesseract community for robust traditional OCR
- PyQt5 for powerful GUI framework
- Open Source Community for inspiration and support
- Documentation: docs/ folder
- Bug Reports: GitHub Issues
- Feature Requests: GitHub Discussions
- Show Support: Star the repository if you find it useful!
🎉 Transform your OCR experience with intelligent text cleaning and beautiful design!
