This example workflow demonstrates how to extract structured information (e.g., invoice number, date, customer name, total amount, IBAN, email) from invoice texts using the Document Entity Extractor component and an OpenAI LLM. The workflow takes unstructured invoice documents and a list of entities as input, and produces a table with the extracted values.
This workflow can be adapted to any type of document (contracts, receipts, letters) by changing the input text and the entity list.