Media Insights on AWS

A flexible framework to accelerate building robust multimedia applications with AWS machine learning


Media Insights on AWS is a development framework that incorporates AWS machine learning services into multimedia applications for processing videos, images, audio, and text. The solution provides purpose-built APIs that allow developers to plug into these services and build innovative media workflows without handling backend complexities. It automatically streamlines resource provisioning, storage, transcoding, annotations, model optimizations, and other orchestration tasks to simplify workflow creation. Using this AWS Solution, you can leverage computer vision, speech recognition, language analysis, and other artificial intelligence (AI) services to empower rapid prototyping and intelligent media software deployment.



Reduce development time

This solution manages workflow orchestration and data persistence so that you can focus on applications that extract value from media or automate manual workflows.


You can extend and customize the solution to fit new use cases. Operators are generated, pre-built state machines that you can extend to handle specific use cases.

Modular framework

Components are described by clean interfaces. Operators are small single purpose components that transform or extract metadata from media. You can define custom operators or use any of the included pre-built operators.

Technical details

You can automatically deploy this architecture using the implementation guide and the accompanying AWS CloudFormation template.

Use cases for this AWS Solution
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Deployment options
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Deploy this solution by launching it in your AWS Console
AWS Media Blog
How to rapidly prototype multimedia applications on AWS with the Media Insights Engine

This blog explores the Media Insights Engine solution which aims to help developers focus less on the scaffolding and more on the things that make their applications impactful. 

Learn about the modular framework the Media Insights Engine is built on, as well as use cases and practical applications for this solution.

Read the full blog post 

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