Orzota DocuAI converts scanned documents to knowledge and insights. The goal of Orzota DocuAI is to minimize manual handling, providing automated document insights . Many businesses deal will documents that are delivered via fax, snail mail, scans taken via cell phones, etc. All these varied types of documents make it into a file store. Because of their unstructured nature, they are then manually processed; someone manually keys in the information in these documents to convert them to usable form or worse – they survive in their raw form throughput the document processing workflow.
With DocuAI, a scanned document is processed just once; the document is OCRed and all relevant information is extracted, the document is automatically classified, and stored in a big data system. DocuAI uses AI, ML and NLP techniques to continuously learn and improve the classification and extraction process to provide document insights. As accuracy improves, it minimizes the need for any manual intervention to validate extracted content.
Upstream applications can access the data using web services or the data can be exported to other databases.
Orzota DocuAI Architecture
The Orzota DocuAI Solution uses Big Data technologies to process a large number of documents (image files, PDFs, etc.) automatically providing instant search, document insights and analysis capabilities. A cognitive engine provides an easy to use interface for the mobile user; using NLP to search and return the data requested. A full functional big data search facility provides powerful regular expression search for the desktop user as well.
The resulting data is stored in a big data system and is instantly searchable. The key information (e.g. form fields like name, company, address, etc.) is saved in structured form for easy retrieval and further processing by upstream applications.
An analytics layer provides an easy-to-use interface and powerful analytics about the documents being extracted.
Orzota DocuAI Advantages
The Orzota DocuAI Solution provides many advantages over traditional tools and methods of processing documents:
- Process large number of documents in parallel, in near real-time
- Auto classify documents using AI Techniques
- Automate translation of document content into structured tables
- Search for almost anything in the processed documents
- Allow for sophisticated business insights and analytics
- Cognitive (AI) Engine provides a natural language interface to search for documents