Document Processing

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Summary

Traditional Optical Character Recognition (OCR) can merely extract words from documents. Deep Learning-based object detection technology makes it possible to capture context, fields, and relationships from scanned documents

We can develop a fully automated document processing workflow able to process thousands of documents per hour and convert the extractions to a searchable format

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Features:

Extract textual fields from unstructured text, forms, and tables and convert them to searchable structured data

Identify selected fields in a document and use them as search indexes

Full support for “Human in the Loop” validation

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Examples:

Medical Document Processing

Legal and Insurance Document Processing

Manufacturing and Industrial Document Processing