AWS First Steps
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New feature

TwelveLabs Pegasus 1.5 model now available on Amazon Bedrock

Amazon Bedrock now supports the TwelveLabs Pegasus 1.5 model, which generates structured, time-coded metadata from video, allowing applications to query specific moments without prior indexing.

Amazon Bedrock now supports the TwelveLabs Pegasus 1.5 model to generate structured, time-coded metadata from videos. Pegasus 1.5 reads entire videos, labeling events and their timing, converting footage into queryable data. Users define business-critical elements like editorial segments or speaker changes; Pegasus 1.5 detects these moments and returns them with timestamps, without requiring pre-indexing or ingest pipelines. It is accessible via US and global cross-region inference profiles. To get started, visit the Amazon Bedrock product page, access the model in the Amazon Bedrock console, or refer to Amazon Bedrock documentation for supported regions, APIs, features, and pricing.

Why it matters

This update benefits users who need to efficiently search for specific moments in video libraries or developers looking to convert video content into structured data for application use.

Regions: Listed in the official documentation

Read the original AWS announcement

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