Collect a set of labeled training documents, train the model using Azure Custom Document Understanding, evaluate its performance, and publish it when ready.

Use the prebuilt models to extract data from the documents and manually correct any errors.

Create a custom Azure AI Search skill and use it to extract data from the documents.

Use Azure Machine Learning to build and train a custom machine learning model.