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Product Hunt Pegasus 1.5 by TwelveLabs

AI model for transforming video into Time-Based Metadata

175
Traction Score
5
Discussions
Apr 20, 2026
Launch Date
View Origin Link

Product Positioning & Context

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.
Developer Tools Artificial Intelligence Video

Related Ecosystem & Alternatives

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Deep-Dive FAQs

What is Pegasus 1.5 by TwelveLabs?
Pegasus 1.5 by TwelveLabs is a digital product or tool described as: AI model for transforming video into Time-Based Metadata
Where did Pegasus 1.5 by TwelveLabs originate?
Data for Pegasus 1.5 by TwelveLabs was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was Pegasus 1.5 by TwelveLabs publicly launched?
The initial public indexing or launch date for Pegasus 1.5 by TwelveLabs within our tracked developer communities was recorded on April 20, 2026.
How popular is Pegasus 1.5 by TwelveLabs?
Pegasus 1.5 by TwelveLabs has achieved measurable traction, logging over 175 traction score and facilitating 5 recorded discussions or engagements.
Which technical categories define Pegasus 1.5 by TwelveLabs?
Based on metadata extraction, Pegasus 1.5 by TwelveLabs is categorized under topics such as: Developer Tools, Artificial Intelligence, Video.
Are there open-source alternatives related to Pegasus 1.5 by TwelveLabs?
Yes, the GitHub ecosystem contains correlated projects. For example, a repository named fikrikarim/parlor shares highly similar architectural descriptions and topics.
How does the creator describe Pegasus 1.5 by TwelveLabs?
The original author or development team describes the product as follows: "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 sche..."

Community Voice & Feedback

[Redacted] • Apr 20, 2026
@jaelee_ the 2-hour video support in Pegasus 1.5 is interesting — what's the latency like for indexing a full long-form video? Thinking about podcast analysis use cases where retrieval speed across a large archive matters.
[Redacted] • Apr 20, 2026
Impressive to see long-form support up to 2 hours. That’s where most current tools struggle, so this feels like a meaningful improvement.
[Redacted] • Apr 20, 2026
Hi, Jae here. I’m the CEO of @TwelveLabsToday, 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.ioVideo 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!
[Redacted] • Apr 18, 2026
I had a blast collaborating with @emilykurze and the @TwelveLabs team on this launch.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!

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