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SUCCESS STORIES

IDP

Problem/Challenges

Intelligent Document Processing leading to structured representation. Traditional methods are low on accuracy and require detailed rule specification.

Innovation

  • 1.Ensemble intelligence to analyze scanned documents, allowing higher accuracy than individual algorithms.
  • 2.Automated structure extraction from heterogeneous documents without detailed rule specification.
  • 3.Intelligent confidence computation from multiple signals.

Approach

An AI solution powered by Deep Learning Algorithms, which analyzes scanned documents using an ensemble of models to extract information and structure them in a defined format and has following capabilities:

  • 1.Image processing to remove noise, adjust tilt
  • 2.Converting scanned documents to text by the use of multiple technologies, including custom Deep Learning models
  • 3.Automated layout and format detection (tables, paragraphs)
  • 4.Automated detection of constructs (addresses, invoice items, custom constructs)
  • 5.Entity recognition
  • 6.Knowledge graph creation

Result

Able to get the accuracy and ease of configuration—replacing human involvement in complex workflows.