Harvest information from multimodal content and turn it into structured data using Azure AI and perform further analysis in Microsoft Fabric.
We are excited to share that we have released a new Microsoft Fabric pipeline template that helps you easily send the results from Azure AI Content Understanding into a Fabric Lakehouse!
This template makes it easier than ever to harvest information from multimodal content and turn it into structured data using Content Understanding and perform further analysis in Microsoft Fabric. Whether you are looking to extract insights from a contract, call transcript, or video footage, this template simplifies the process and gives you fast access to Fabric’s powerful data tools.
Why It Matters
Azure AI Content Understanding uses powerful large language models (LLMs) to extract key information from documents, videos, audio, and image files. For example, it can identify key phrases in documents, extract tables from invoices, or generate video chapters and summaries. This template lets you seamlessly feed structured JSON outputs from Content Understanding into a Fabric Lakehouse, where you can immediately use Power BI, Dataflows, and other tools to analyze and make sense of the data.
Key Benefits
- Quick Setup: Move from unstructured content to structured data in no time—no complicated setup required!
- Seamless Integration: Connect Azure AI and Microsoft Fabric effortlessly.
- Secure & Scalable: Every component is built on Microsoft’s cloud, ensuring your data is safe and scalable as your needs grow.
Try It Now
You can find the template and setup instructions on GitHub.
We would love to hear how you are using it! Feel free to leave any questions or feedback in the comments below or send us an email.
Resources & Documentation
Explore the following resources to learn more about Azure AI Content Understanding and Microsoft Fabric
- Azure Content Understanding Overview
- Microsoft Fabric Overview
- Azure Content Understanding in Azure AI Foundry
- Azure Content Understanding FAQs
