{"version":1,"type":"story","url":"https://digestai.news/story/twelvelabs-pegasus-1-5-becomes-available-on-amazon-bedrock","json":"https://digestai.news/story/twelvelabs-pegasus-1-5-becomes-available-on-amazon-bedrock.json","markdown":"https://digestai.news/story/twelvelabs-pegasus-1-5-becomes-available-on-amazon-bedrock.md","slug":"twelvelabs-pegasus-1-5-becomes-available-on-amazon-bedrock","headline":"TwelveLabs Pegasus 1.5 becomes available on Amazon Bedrock","summary":"TwelveLabs announced that its Pegasus 1.5 video language model is now offered through Amazon Bedrock. The model can process videos up to two hours long—double the previous one‑hour limit—and returns time‑based metadata as JSON, including start and end timestamps and user‑defined fields. It adds multimodal prompting with up to 30 reference images and on‑the‑fly processing from Amazon S3 or base64 strings, eliminating the need for pre‑indexing pipelines.\n\nPegasus 1.5 supports English fully and partial support for a dozen other languages, analyzes objects, on‑screen text, and audio, and can handle video files up to 2 GB from S3 or 25 MB as base64. The service is billed through AWS Marketplace under TwelveLabs, appears on the AWS bill, and is currently available in the US West (Oregon) region. Documentation includes sample Python code, CloudWatch metrics for monitoring, and guidance on defining segment definitions for use cases such as news archive tagging, sports highlight detection, and streaming‑platform recommendations.","keyPoints":["Pegasus 1.5 processes videos up to two hours long, twice the previous limit.","Returns time‑based metadata as JSON and supports up to 30 reference images.","Available today on Amazon Bedrock in US West (Oregon); billing via AWS Marketplace."],"whyItMatters":"Automates extraction of searchable, timestamped metadata from long‑form video, cutting manual tagging costs and enabling new media, sports and streaming applications.","category":{"slug":"models","name":"Generative AI & Models","url":"https://digestai.news/category/models"},"entities":{"companies":["TwelveLabs","Amazon","AWS"],"models":["Pegasus 1.5"],"people":[]},"firstPublishedAt":"2026-10-19T16:49:19Z","updatedAt":"2026-10-19T16:49:19Z","sourceCount":1,"hasPrimarySource":true,"sources":[{"outlet":"AWS Machine Learning Blog","title":"Pegasus 1.5 from TwelveLabs is now available in Amazon Bedrock","url":"https://aws.amazon.com/blogs/machine-learning/pegasus-1-5-from-twelvelabs-is-now-available-in-amazon-bedrock","publishedAt":"2026-10-19T16:49:19Z","type":"primary","primary":true,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"TwelveLabs Pegasus 1.5 becomes available on Amazon Bedrock\", 19 October 2026, https://digestai.news/story/twelvelabs-pegasus-1-5-becomes-available-on-amazon-bedrock","publisher":"Digest AI","title":"TwelveLabs Pegasus 1.5 becomes available on Amazon Bedrock","datePublished":"2026-10-19T16:49:19Z","url":"https://digestai.news/story/twelvelabs-pegasus-1-5-becomes-available-on-amazon-bedrock"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}