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.

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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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