THP OCR - Advanced Optical Character Recognition
THP OCR is a powerful OCR (Optical Character Recognition) library that provides advanced text extraction capabilities with preprocessing and post-processing pipelines.
Features
-
Advanced Preprocessing
- Image enhancement
- Noise reduction
- Skew correction
- Binarization
- Layout analysis
-
Accurate Text Recognition
- Multi-language support
- Handwriting recognition
- Table structure detection
- Form field extraction
- Mathematical formula recognition
-
Smart Post-processing
- Context-aware correction
- Spell checking
- Grammar correction
- Formatting preservation
- JSON/XML output
Installation
pip install thp-ocr
Quick Start
from thp_ocr import OCREngine # Initialize the engine ocr = OCREngine() # Process an image text = ocr.process_image("document.jpg") print(text) # Process with specific options result = ocr.process_image( "form.pdf", lang="en", detect_tables=True, preserve_layout=True )
Use Cases
-
Document Digitization
- Convert scanned documents to text
- Preserve document formatting
- Extract structured data
-
Form Processing
- Automated form field extraction
- Data validation
- Database integration
-
Academic Research
- Process research papers
- Extract mathematical equations
- Convert handwritten notes
-
Business Automation
- Invoice processing
- Receipt scanning
- Business card digitization
Pipeline Architecture
-
Preprocessing Stage
- Image enhancement
- Noise reduction
- Layout analysis
-
Recognition Stage
- Text detection
- Character recognition
- Structure analysis
-
Post-processing Stage
- Error correction
- Format preservation
- Output generation
Contributing
We welcome contributions! Here's how you can help:
- Fork the repository
- Create a feature branch
- Submit a pull request
Documentation
Visit our documentation for:
- API reference
- Usage examples
- Best practices
- Troubleshooting
Community
License
THP OCR is released under the MIT License. See LICENSE file for details.