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content-understanding

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Turn multimodal content into structured data.

Data & Analytics#analysis#RAG#multimodal#data-extraction#analyzers#Azure Content Understanding
Authorsamelhousseini
Version1.0.0
Installs0

System Documentation

What problem does it solve?

The Content Understanding Skill helps you transform unstructured multimodal content into structured, searchable data by applying Azure AI Content Understanding. It addresses the manual burden of extracting fields from documents, images, audio, and video.

Core Features & Use Cases

  • Multimodal processing: Analyze documents, images, audio, and video to extract meaningful data.
  • Prebuilt and custom analyzers: Use 14 prebuilt analyzers or create domain-specific analyzers with AI-generated fields.
  • RAG-ready output: Generate markdown-friendly results optimized for retrieval and integration.
  • Use Case: Ingest invoices to extract vendor, totals, and line items; transcribe audio; or derive meaning from videos.

Quick Start

To begin, configure your endpoint and API key, install dependencies, and run a sample analysis using the provided Python client.

Dependency Matrix

Required Modules

requestspython-dotenvazure-identity

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: content-understanding
Download link: https://github.com/samelhousseini/microhacks/archive/main.zip#content-understanding

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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