Invoice and receipt processing using Amazon Textract Sample solution architecture to automate invoice and receipts processing.How to process the response with the Amazon Textract parser library.Anatomy of the Amazon Textract AnalyzeExpense API response.A walkthrough of the Amazon Textract console.How Amazon Textract processes invoices and receipts.We cover the following topics in this post: While AWS takes care of building, training, and deploying advanced ML models in a highly available and scalable environment, you take advantage of these models with simple-to-use API actions. In this post, we walk you through processing an invoice/receipt using Amazon Textract and extracting a set of fields and line-item details. In this post, we show how you can use Amazon Textract’s new Analyze Expense API to extract line item details in addition to key-value pairs from invoices and receipts, which is a frequent request we hear from customers. Amazon Textract uses machine learning (ML) to understand the context of invoices and receipts, and automatically extracts specific information like vendor name, price, and payment terms. These types of documents are difficult to process at scale because they follow no set design rules, yet any individual customer encounters thousands of distinct types of these documents. Receipts and invoices are documents that are critical to small and medium businesses (SMBs), startups, and enterprises for managing their accounts payable processes.
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