Automatic invoice template generation based on information extracted from individual invoices

Abstract

An electronic copy of an existing invoice is used to extract text therefrom. The extracted text is processed using a hybrid approach-combining fuzzy matching and natural language processing-to map portions of the extracted text to a computer application's specific standard fields. The initial stage is fuzzy matching to map portions of the extracted text to a dictionary of standard fields. For the unmapped portions of the text, natural language processing models such as a fine-tuned DistilBERT model is invoked to determine a second stage mappings. Mappings from the two stages are combined and duplicates are removed to generate a final mapping. The final mapping and the geometrical information of the extracted text is used to generate an electronic template of the invoice. The electronic template can be used to generate future invoices with the same/similar formatting or look and feel of the existing invoice.

Dependencies are inferred from the claim text.