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Merge pull request #4912 from laujan/patch-6
jp-4793-update-overview
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articles/ai-services/content-understanding/overview.md

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## Why process with Content Understanding?
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* **Simplify and streamline workflows**. Azure AI Content Understanding standardizes the extraction of content, structure, and insights from various content types into a unified process.
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* **Simplify and streamline workflows**. Azure AI Content Understanding standardizes the extraction and classification of content, structure, and insights from various content types into a unified process.
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* **Simplify field extraction**. Content Understanding's field extraction makes it easier to generate structured output from unstructured content. Define a schema to extract, classify, or generate field values with no complex prompt engineering
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* **Analytics and reporting**: Content Understanding's extracted field outputs enhance analytics and reporting, allowing businesses to gain valuable insights, conduct deeper analysis, and make informed decisions based on accurate reports.
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* **Optimize workflow through classification**: Content Understanding's classification feature will enable you to categorize the documents first, before routing it to the associated analyzer for extraction.
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## Applications
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Common applications for Content Understanding include:

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