Overview
Accelerate multimodal AI app development
Azure AI Content Understanding helps enterprises transform unstructured multimodal data into insights.
- Derive meaningful insights from diverse types of input data, ranging from text, audio, images, and video.
- Achieve precise, high-quality data for downstream applications with sophisticated AI methods such as scheme extraction and grounding.
- Streamline and unify pipelines of varied data types into a single streamlined workflow, reducing overall costs and accelerating time to value.
- See how businesses and call center operators generate valuable insights from call recordings to track essential KPIs, enhance product experiences, and respond to customer inquiries more swiftly and accurately.
Features
Multimodal AI: Transforming data into insights
Multimodal data ingestion
Ingest a range of modalities—such as documents, images, audio, or video—and use a range of AI models available in Azure AI to transform input data into structured output that can be easily processed and analyzed by downstream applications.
Customizable output schemas
Customize the schemas of extracted results to meet your specific needs. Tailor the format and structure of summaries, insights, or features to include only the most relevant details—such as key points or timestamps—from video or audio files.
Confidence scores
Utilize confidence scores to reduce human intervention and increase accuracy with continuous improvement through user feedback.
Output ready for downstream applications
Automate business processes by building enterprise AI apps or agentic workflows. Use outputs that downstream applications can consume for reasoning with retrieval-augmented generation (RAG).
Grounding
Ensure the information extracted, inferred, or abstracted is represented in the underlying content.
Automatic labeling
Save time and effort on manual annotation and create models quicker by using large language models (LLMs) to extract fields from various document types.
Security
Built-in security and compliance
Microsoft has committed to investing $20 billion in cybersecurity over five years.
We employ more than 8,500 security and threat intelligence experts across 77 countries.
Azure has one of the largest compliance certification portfolios in the industry.
PRICING
Flexible pricing to meet your needs
Pay for only what you use. There are no upfront costs with Azure AI Content Understanding pay-as-you-go pricing. Pricing is based on input (content extraction) and output (field extraction) costs.
Use cases
Apply Azure AI Content Understanding to a variety of use cases
Discover how others are leveraging Azure AI Content Understanding.
Customer stories
See how customers innovate with Azure AI Content Understanding
Resources
Get started with Azure AI Content Understanding
FAQ
Frequently asked questions
- Content Understanding is a new Azure AI service that helps enterprises accelerate multimodal AI app development in the age of generative AI. Content Understanding takes diverse types of input data—ranging from text, audio, images, documents, and video—and enables organizations to build generative AI solutions seamlessly with the latest models available. AI can already analyze docs, build bots, and recognize faces. Content Understanding offers a new opportunity for enterprises to develop applications that can combine all of these using prebuilt templates designed to address the most common use-cases, or they can build custom models to address domain-specific or enterprise-specific use cases—all without ever requiring specialized generative AI skills such as prompt engineering. The service allows enterprises to bring their domain expertise and build automation workflows, continuously improving the output and always ensuring robust accuracy. This new AI service is built using industry-leading Azure enterprise security, data privacy, and responsible AI guidelines.
- Content Understanding enables developers to incorporate data types across modalities simultaneously into their existing apps and deploy custom models for their enterprise. It significantly simplifies generative AI solution development for multimodal scenarios and removes the manual effort to switch to the latest model upon release. It accelerates time-to-value with multiple modalities simultaneously analyzed in a unified workflow.
- Check out Azure AI Content Understanding in the Azure AI Foundry.
- Pay for only what you use. There are no upfront costs with Azure AI Content Understanding pay-as-you-go pricing. Pricing is based on input (content extraction) and output (field extraction) costs.
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