Understanding document enrichment

To get insights and business value from your documents, you will need to understand dynamic topics and document attributes. You also have a requirement to augment documents, such as redacting sensitive information, translating the extracted data to an additional language as per your needs, or just augmenting documents with inferred metadata. Getting these additional insights is known as the document enrichment stage of the IDP pipeline. During the document enrichment stage, you augment and append your existing document insights with business- or domain-specific context from additional sources. Let’s discuss a couple of examples of document enrichment.

For example, your need is to translate documents from English to Spanish to support global customers. You can leverage AWS AI services such as Amazon Translate to translate documents from one language to another. We will use the following architecture for the translation of text in a document...