AI model for transforming video into Time-Based Metadata
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.
@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.
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 138 upvotes and 6 comments, placing #4 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.
On the analytics side, Pegasus 1.5 by TwelveLabs competes within Developer Tools, Artificial Intelligence and Video — topics that collectively have 979.3k followers on Product Hunt. The dashboard above tracks how Pegasus 1.5 by TwelveLabs performed against the three products that launched closest to it on the same day.
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.
For a complete overview of Pegasus 1.5 by TwelveLabs including community comment highlights and product details, visit the product overview.
fmerian
@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.