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Fix formatting in introduction markdown
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learn-pr/wwl-data-ai/get-started-information-extraction/includes/1-introduction.md

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@@ -17,13 +17,13 @@ Examples of information extraction scenarios include:
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Azure Content Understanding extracts structured data from multiple content types including:
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- **Documents & images:**: such as PDFs, forms, invoices, receipts, contracts
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- **Audio:**: such as recordings or calls
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- **Video:**: such as video of meetings or other media files
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- **Documents & images**: such as PDFs, forms, invoices, receipts, contracts
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- **Audio**: such as recordings or calls
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- **Video**: such as video of meetings or other media files
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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.
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::: zone-end
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> [!NOTE]
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> 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.
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> 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.

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