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azure-ai-contentunderstanding-py

Extract semantic content from documents, images, audio, and video using Azure AI Content Understanding in Python.

2.9k|323|Updated Jan 16, 2026
Search Tags:#python#analysis#azure#sdk#multimodal#transcription#content-understanding
One-click install
npx skills add https://github.com/microsoft/skills --skill azure-ai-contentunderstanding-py-microsoft
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: azure-ai-contentunderstanding-py
Source: https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-ai-contentunderstanding-py
Command: npx skills add https://github.com/microsoft/skills --skill azure-ai-contentunderstanding-py-microsoft

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This SDK enables developers to extract semantic content from documents, images, audio, and video using Azure AI Content Understanding in Python, powering richer data, search, and automation.

Core Features & Use Cases

  • Multimodal content extraction: documents, images, audio, and video.
  • Asynchronous analysis via long-running operations with begin_analyze and poller.result.
  • Use cases include building RAG workflows, content indexing, and automated content analysis pipelines.

Quick Start

Install the azure-ai-contentunderstanding package and create a ContentUnderstandingClient to analyze multimedia content.

Frequently Asked Questions about azure-ai-contentunderstanding-py

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract semantic content from multimodal data like audio and video in Python?▼

You can extract semantic content from multimodal data using the Azure AI Content Understanding Python SDK. It enables automated analysis of documents, images, audio, and video to power richer data, search, and automation workflows.

What is the best way to handle long-running analysis for large video and audio files in Azure?▼

Handling long-running analysis for large files requires asynchronous operations. The Azure AI Content Understanding SDK uses begin_analyze and poller.result methods to manage and retrieve results from extended multimodal processing tasks.

Can I use Azure Content Understanding to build automated RAG workflows with multimodal inputs?▼

Yes, Azure Content Understanding supports building RAG workflows with multimodal inputs. It extracts semantic content from documents, images, audio, and video to provide structured data for retrieval augmented generation pipelines.

Does the Azure Content Understanding Python SDK support custom analyzers for specific document formats?▼

Yes, the Azure Content Understanding Python SDK supports prebuilt and custom analyzers. This allows developers to tailor multimodal content extraction and semantic analysis to specific document, image, audio, or video formats.

Do I need an async client to process multimodal content extraction in Azure?▼

Yes, an async client is required for processing multimodal content extraction in Azure. The SDK relies on asynchronous clients and long-running operations to handle automated analysis of audio, video, documents, and images.

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