Document Information Extraction

Automate and scale your business document processing for a wide range of document types using this machine learning-based service available on SAP Business Technology Platform.

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First Steps

Document Information Extraction is part of the SAP AI Services portfolio and available on SAP Business Technology Platform (SAP BTP).

It helps you to process large amounts of business documents that have content in headers and tables. You can use the extracted information, for example, to automatically process payables, invoices, or payment notes while making sure that invoices and payables match. After you upload a document file to the service, it returns the extraction results from header fields and line items. 

With Document Information Extraction, companies can:

  • Process more documents faster with less errors
  • Increase quality and compliance mechanisms
  • Reduce the time required to process a document
  • Allow the members of your organization to focus on more relevant tasks that are in their field of expertise

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Key Features

Information Extraction
Automate the extraction of relevant information from business documents. The Document API takes document files as input and returns header fields and line items as structured data.

Data Enrichment
Match a business document to an enrichment data record based on the information extracted from the document. The Enrichment Data API takes document files as input and returns the ID of the matching enrichment data records.

Intuitive UI
Leverage the Document Information Extraction UI for documents, schemas, and templates.

Use Case: Process a Pokemon Card in 90 Seconds with Generative AI

Use Case: Process a Pokemon Card in 90 Seconds with Generative AI

Leverage the new generative AI capabilities of Document Information Extraction, premium edition with this simple use case. With a short description of required fields, the service will automatically extract and organize data from a Pokemon card, eliminating the need for manual intervention and drastically reducing time-to-value.

Watch the demo and start yourself with any kind of document, such as invoices or payment notes.

Use Case: Extract and Map Invoice Data Automatically into SAP Business Network

Use Case: Extract and Map Invoice Data Automatically into SAP Business Network

Powered by the Document Information Extraction service, the Intelligent Invoice Conversion feature of SAP Business Network enables the conversion of PDFs and image invoice files into SAP Business Network invoices. It brings intelligence into the invoice conversion process, extracting and mapping invoice data automatically. It also provides an intuitive document interface that suppliers can use to build and review annotation rules for extracting complex invoice data.

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Use Case: Document Information Extraction for Invoice Processing

Learn how to automate the data extraction process from business invoices using Document Information Extraction capabilities natively embedded in SAP Process Automation, also available on SAP Business Technology Platform.
Save and optimize many hours for your employees!

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Read the Aspen Pumps customer story

Use Case: Centralize Invoice Processes in SAP S/4HANA

SAP Central Invoice Management provides customers a single point of access to supplier invoices from multiple connected systems, such as SAP ERP, SAP S/4HANA, and SAP S/4HANA Cloud. Increase the automation rate in invoice processing by automatically recognizing and transforming PDF and other formats of invoices. Automate cost and tax code assignments, and correct natively.


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Use Case: Create Sales Orders from Unstructured Data

Sales Order Automation in SAP S/4HANA helps your sales team to quickly create sales orders from purchase order files which they receive from customers. After a file is uploaded, the SAP S/4HANA automatically extracts information into a sales order request and proposes values for sales order request fields. Your sales team can then convert the sales order request into a complete sales order.

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Additional Use Cases Powered by Document Information Extraction

Additional Use Cases Powered by Document Information Extraction