AI-Powered
Document Data Extractor
The AIPowered Document Data Extractor utilizes advanced AI technologies such as computer vision, natural language processing (NLP), and optical character recognition (OCR) to accurately and efficiently extract data from various documents. This system streamlines data extraction processes, ensuring high precision and reliability, and is designed for deployment on Azure.
How it works
The system captures and processes document images using AI techniques, extracting, classifying, and validating data for accurate reporting. A feedback loop ensures continuous improvement in accuracy and efficiency
Image Acquisition
Capture high-resolution images of documents using cameras or scanners for optimal data quality.
Preprocessing
Enhance image clarity and remove noise, preparing data for accurate text extraction.
Text Detection
Utilize advanced OCR and computer vision to locate and identify text within document images.
Data Extraction
Employ NLP and CNN models to extract essential data fields from detected text.
Data Classification
Organize extracted data into predefined categories like names, addresses, and IDs.
Validation, Reporting, & Feedback
Ensure data accuracy, generate reports, and enhance models through feedback.
Data Extraction
Employ NLP and CNN models to extract essential data fields from detected text.
Data Classification
Organize extracted data into predefined categories like names, addresses, and IDs.
Validation, Reporting, & Feedback
Ensure data accuracy, generate reports, and enhance models through feedback.
Key features
Advanced Document Parsing
High Accuracy and Precision
Efficient Data Extraction
Versatility and Integration
Continuous Improvement
Azure Deployment
Technical Skills
- Computer Vision
- NLP
- OCR
- Python
- PyTorch
- FastAPI
- Azure Deployment
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