Unlock Multimodal Data Insights with Azure AI Content Understanding: New Code Samples Available

Microsoft

Jan 17, 2025

We are excited to share code samples that leverage the Azure AI Content Understanding service to help you extract insights from your images, documents, videos, and audio content.

These code samples are available on GitHub and cover the following:

Azure AI integrations

Visual Document Search: Leverage Azure Document Intelligence, Content Understanding, Azure Search, and Azure OpenAI to unlock natural language search of document contents for a complex document with pictures of charts and diagrams.
Video Chapter Generation: Generate video chapters using Azure Content Understanding and Azure OpenAI. This allows you to break long videos into smaller, labeled parts with key details, making it easier to find, share, and access the most relevant content.
Video Content Discovery: Learn how to use Content Understanding, Azure Search, and Azure OpenAI models to process videos and create a searchable index for AI-driven content discovery.

Content Understanding Operations

Analyzer Templates: An Analyzer enables you to tailor Content Understanding to extract valuable insights from your content based on your specific needs. Start quickly with these ready-made templates.
Content Extraction: Learn how Content Understanding API can extract semantic information from various files including performing OCR to recognize tables in documents, transcribing audio files, and analyzing faces in videos.
Field Extraction: This example demonstrates how to extract specific fields from your content. For instance, you can identify the invoice amount in a document, capture names mentioned in an audio file, or generate a summary of a video.
Analyzer Training: For document scenarios, you can further enhance field extraction performance by providing a few labeled samples.
Analyzer management: Create a minimal analyzer, list all analyzers in your resource, and delete any analyzers you no longer need.

Azure AI Content Understanding: Turn Multimodal Content into Structured Data

Azure AI Content Understanding is a cutting-edge Azure AI offering designed to help businesses seamlessly extract insights from various content types. Built with and for Generative AI, it empowers organizations to seamlessly develop GenAI solutions using the latest models, without needing advanced AI expertise. Content Understanding simplifies the processing of unstructured data stores of documents, images, videos, and audio—transforming them into structured, actionable insights. It is versatile and adaptable across numerous industries and, use case scenarios, offering customization and support for input from multiple data types. Here are a few example use cases:

Retrieval Augmented Generation (RAG): Enhance and integrate content from any format to power effective content searches or provide answers to frequent questions in scenarios like customer service or enterprise-wide data retrieval.

Post-call analytics: Organizations use Content Understanding to analyze call center or meeting recordings, extracting insights like sentiment, speaker details, and topics discussed, including names, companies, and other relevant data.

Insurance claims processing: Automate time-consuming processes like analyzing and handling insurance claims or other low-latency batch processing tasks.

Media asset management and content creation: Extract essential features from images and videos to streamline media asset organization and enable entity-based searches for brands, settings, key products, and people.