Document Classification with Custom Schemas
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Prerequisites
- Concept SAP Document AI [SAP Document AI](https://architecture.learning.sap.com/docs/ref-arch/RA0030/readme) is a cloud-based service that uses machine learning to extract structured data from unstructured business documents such as invoices, purchase orders, remittance advices, and delivery notes. Developers use it to automate intelligent document processing pipelines that ingest documents arriving through diverse channels — including emails, faxes, messaging apps, and FTP servers — and transform the extracted, validated data into business documents in enterprise systems. The [end-to-end processing pattern](https://architecture.learning.sap.com/docs/ref-arch/RA0030/0-end-to-end/readme) covers ingestion, enrichment, and posting stages, enabling enterprises to handle the high volumes of business documents they process daily.
- Concept Schema and Configuration Management A **schema** in SAP HANA is a logical container used to organize and group database objects such as tables, views, and procedures. Developers create schemas to structure custom data, for example to store custom documents, and can inspect their contents using the [SAP HANA Database Explorer](https://developers.sap.com/tutorials/hana-dbx-browse-schema.html). By defining a dedicated schema, developers keep related objects together and manage access to them within the SAP HANA database.
- Concept SAP Document AI Service Setup and Subscription The concept provided is `undefined`, so no valid concept name was supplied. Based on the available sources, which all relate to **SAP Document AI** tutorials, a definition cannot be accurately scoped to a single, specific developer concept. Please provide a valid concept name — for example, "SAP Document AI", "OAuth Access Token", "Document Schema", or "Document Template" — so that a precise, source-grounded definition can be written.