TwelveLabs' video AI model can now find key moments in long videos on AWS
Amazon Web Services says TwelveLabs' Pegasus 1.5 is now on Amazon Bedrock. It lists matching moments in videos up to two hours long.
TwelveLabs' Pegasus 1.5 is an AI model that analyzes video. Amazon Web Services (AWS) announced on Oct 9, 2026 that it is now on its Amazon Bedrock service.
A user describes the moments they want, such as speaker changes, sports plays or brand logos. The model returns each matching part with start and end times. The list is built so other software can read it.
AWS says the model can handle videos up to two hours long in one request. The older Pegasus 1.2 handled one hour. Users can add a reference picture, such as a logo, to help find a product or person. AWS says no setup step is needed before sending a video.
Official releaseRead the original at AWS ML blog →Developers who build on AWS can add video search and summaries without a separate prep step. AWS says this work used to need manual review or several separate tools.
The facts
- AWS says TwelveLabs' Pegasus 1.5 became available on Amazon Bedrock, announced on Oct 9, 2026.
- Pegasus 1.5 turns long videos into structured, timestamped data. It returns every segment that matches the user's description as JSON, with start and end times.
- Pegasus 1.5 can analyze videos up to two hours long in a single request, up from one hour in Pegasus 1.2.
- Users can analyze videos straight from Amazon S3 storage or as an embedded file with no pre-indexing. AWS says the data stays within the AWS data boundary.
- Videos sent directly inside a request can be up to 25 MB, which AWS says suits short clips. Long videos are meant to be sent from Amazon S3.
- Pegasus 1.5 accepts reference images alongside text, for example to find a specific product, logo or person in a video.
- AWS says getting structured insights from video has historically required labor-intensive manual review or fragmented toolchains.
Sources
- AWS ML blog: Pegasus 1.5 from TwelveLabs is now available in Amazon Bedrock
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