TwelveLabs Pegasus 1.5 model now available on Amazon Bedrock

Amazon Bedrock now supports TwelveLabs Pegasus 1.5, a video-to-text model that generates structured, time-coded metadata from video. Until now, finding a moment in a large video library meant knowing where to look before you could ask about it. Pegasus 1.5 reads an entire video and labels what happens and when, turning footage into data your applications can query. You define what matters to your business, such as editorial segments, speaker changes, sports plays, or brand appearances, and Pegasus 1.5 finds those moments across the video and returns them with timestamps. It analyzes what it sees, hears, and reads on screen in a single pass, with no pre-indexing or ingestion pipeline to build first. Pegasus 1.5 is accessible through the 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 see the [Amazon Bedrock documentation](https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-twelvelabs-pegasus-v1-5.html) for supported Regions, APIs, features, and pricing.