Summary
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This module introduces information extraction across multiple content types—documents, audio, and video—using Azure Content Understanding. The module is designed to help you understand what information extraction is, why it matters, and how to use Azure Content Understanding in application code to extract structured data from unstructured content.
Here’s a concise, unified summary of the three documents:
Summary
This module introduces Azure Content Understanding in Microsoft Foundry and explain how it extracts structured data from documents, audio, and video using AI-powered analyzers. The service is designed to automate the processing of unstructured business content—such as invoices, forms, call recordings, and meeting videos—by converting it into structured, machine-readable output (typically JSON) that can be easily stored, searched, or integrated into downstream systems.
Across all content types, Azure Content Understanding follows a consistent workflow. The service first ingests content, then analyzes it using AI models, and finally returns structured results. Users can experiment in the Foundry portal or build client applications using the Content Understanding REST API or Python SDK, which handles asynchronous analysis and polling. Together, these capabilities enable scalable, automated understanding of business data in any format.
To learn more, check out the links:
- Review the glossary of terms associated with Azure Content Understanding.
- Learn more about Azure Content Understanding's workflow from the documentation.
- Read more about Azure Content Understanding analyzers and their configurations in the documentation.
- Try out Azure Content Understanding using the REST API with a quickstart tutorial from the documentation.