AI for Accessibility

Within minutes, the YuJa Cloud categorizes the video content and automatically generates topic tags and topic-headers.

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Our AI for Accessibility Platform is Deployed By Leading Organizations

Our AI for Accessibility Platform is Deployed By Leading Organizations
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Automatically Categorize Presentation Topics and Create Metatags

YuJa’s Semantic Topic Analysis provides an automated, topical overview of subjects covered in a capture or uploaded video. The technology is able to quickly categorize the information in the video and creates a visual mindmap for the viewer.

Automatically Categorize Presentation Topics and Create Metatags

The Benefits of Semantic Topic Analysis

Searchable Campus and Course Libraries

Super-topics become searchable tags, making it simple for students to find relevant content to further their academic goals.

Searchable Campus and Course Libraries
Review Content Before Watching a Lecture

Topics and super-topics enable students or instructors to quickly review lecture content, without watching the lecture.

Review Content Before Watching a Lecture
Make Connections with Different Topics

Semantic Topic Analysis provides students with increased ability to make connections between different facts and subjects.

Make Connections with Different Topics
One-Look Summary

The topics and super-topics provide a quick, one-look summary of lecture capture or video content.

One-Look Summary

To learn more about our Enterprise Video Platform’s AI for Accessibility solutions, call us at 1-888-257-2278

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How Semantic Topic Analysis Works

Semantic Topic Analysis starts with YuJa’s best-of-breed auto-captioning. Based on this, semantic topic analysis then creates searchable meta-layers, topic maps, and searchable tags.

Semantic Topic Analysis automatically reviews auto-captions to create an additional searchable topic meta-layer.


Lecture capture content is organized into topics in the lecture and super-topics that the topics fit into or under.


Super-topics become searchable, identifiable tags within the Media Management.

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