Introduction
Anyone who has manually processed invoices or forms knows how challenging it is. The great news is that we can use AI to eliminate manual effort and build the information systems of the future. AI-powered information extraction and analysis enable organizations to gain actionable insights from data that might otherwise be locked up in documents, images, audio, video, or other assets.
Examples of information extraction scenarios include:
- Expense claim processing: A company needs to extract expense descriptions and amounts from scanned receipts.
- Customer support: An agency needs to analyze recorded support calls to identify common problems and resolutions.
- Capacity planning: A tourist organization needs to estimate visitor volumes by analyzing video footage and images.
Microsoft Azure Content Understanding in Foundry Tools uses AI to extract structured information from unstructured content. Azure Content Understanding helps applications understand what is in content by identifying entities, fields, relationships, and meaning in the content.
Azure Content Understanding extracts structured data from multiple content types including:
- Documents & images: such as PDFs, forms, invoices, receipts, contracts
- Audio: such as recordings or calls
- Video: such as video of meetings or other media files
Azure Content Understanding's AI-powered information extraction automates the process of turning unstructured content into machine‑readable data that can be searched and analyzed. Next, learn how to extract structured data from unstructured documents and forms.
Note
We recognize that different people like to learn in different ways. You can choose to complete this module in video-based format or you can read the content as text and images. The text contains greater detail than the videos, so in some cases you might want to refer to it as supplemental material to the video presentation.