Pegasus 1.5 transforms raw video into consistent, structured, timestamped data on-the-fly. Video becomes a queryable and computable asset, based on your company’s custom requirements. Define a schema of what matters in your domain, point it at any video up to 2 hours, and get back structured, time based metadata in a single API call. And, it’s multimodal – pass in an image, and find anytime this reference appears in your video. Your video library, finally queryable for humans and agents.
Today, we’re launching Pegasus 1.5, the first video language model turning video into queryable data assets. What would you build if your video was as queryable as text? Try the free Playground: twelvelabs.io
Video is the most opaque data source; it’s hard to know the content of your video without simply watching the video. Pegasus 1.5 lets you understand your video library, autonomously, on-the-fly, and at scale. More than that, it future proofs your archive and enables agents to actually navigate it with enriched and custom-defined metadata.
What’s New:
Time Based Metadata: Generate custom, time-coded metadata, based on your exact need. Some examples include: segment every time the speaker changes, segment every time my favorite basketball player dunks, and segment every time my logo appears on screen.
On the Fly Processing: Start with just one video, and get value immediately. If you’re a creator who needs to chapterize your content for youtube, with transcription and key events, upload the video on TwelveLabs, and Pegasus 1.5 will give you exactly what you need.
Multimodal Prompting: Pass in an image, and tell the model to show you every time the object in the image appears. Try it for product placement or for tracking your favorite player across a game.
We're proud to make a model that actually helps you understand your video content, in the way you want. We outperform top general models on segmentation and on multimodal inputs. We support 2 hours of video, which is more than two times other models. And, we’re way more cost efficient. Check it out, and would love your feedback!
Pegasus 1.5 is a significant leap in generative video AI: autonomous and reliable segmentation, long-form video support (up to 2 hours), with SOTA performances (30% better than Gemini 3 Pro, 3.1 Pro, and 3 Flash).
Try the free Playground at twelvelabs.io - Looking forward to see what you're building!
About Pegasus 1.5 by TwelveLabs on Product Hunt
“AI model for transforming video into Time-Based Metadata”
Pegasus 1.5 by TwelveLabs launched on Product Hunt on April 20th, 2026 and earned 161 upvotes and 5 comments, placing #5 on the daily leaderboard. Pegasus 1.5 transforms raw video into consistent, structured, timestamped data on-the-fly. Video becomes a queryable and computable asset, based on your company’s custom requirements. Define a schema of what matters in your domain, point it at any video up to 2 hours, and get back structured, time based metadata in a single API call. And, it’s multimodal – pass in an image, and find anytime this reference appears in your video. Your video library, finally queryable for humans and agents.
Pegasus 1.5 by TwelveLabs was featured in Developer Tools (511.1k followers), Artificial Intelligence (466.4k followers) and Video (1.8k followers) on Product Hunt. Together, these topics include over 157.1k products, making this a competitive space to launch in.
Who hunted Pegasus 1.5 by TwelveLabs?
Pegasus 1.5 by TwelveLabs was hunted by fmerian. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Reviews
Pegasus 1.5 by TwelveLabs has received 1 review on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
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fmerian
Impressive to see long-form support up to 2 hours. That’s where most current tools struggle, so this feels like a meaningful improvement.