Accenture Global Solutions Limited

Kedar Bhat

Sawani Bade

Akanksha Juneja

Shruti Chhabra

Samatha Kottha

Himani Bhatt

Praneeth Medhatithi Shishtla

Debayan Chakraborty

Srinivasan Ponpathirkoottam Raghavan

Sreerekha T V

Amit Nandi

Soubhagya Ranjan Mohapatra

Ashok Kumar Shivarajan

Karthick Selvamuthukumaran

A hybrid rule-based Artificial Intelligence (AI) document processing system processes a non-editable document with at least one invoice to accurately extract data from tables in the invoices. The non-editable document is preprocessed for conversion into a markup format and pages including the invoice are identified. The invoice is processed via a document process by parsing the pages in different directions to generate a first set of predictions and via a block process wherein logical information blocks from the invoice are processed to generate a second set of predictions. The missing entries from a selected table are identified by applying rules to the first set of predictions and the second set of predictions. Any discrepancy between the missing entry values between the first and second set of predictions are resolved and the resulting data is exported to downstream systems for further uses.

Document processing using hybrid rule-based artificial intelligence (AI) mechanisms

Growing community of inventors

Mumbai, India

Kedar Bhat