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
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
Examples:
✓ Automate the extraction of various fields and corresponding values. Eliminate the manual data entry errors
✓ Sift through resumes and identify candidates with certain skills, seniority, or experience
✓ Search thousands of court cases presided by a certain judge leading to conviction
✓ Identify occurrences of certain terms used in captions of diagrams in documents
✓ Change the text in selected fields of documents in a mass scale