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Twelve Labs

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AI platform for video understanding that indexes video content for semantic search, Q&A, and text generation - used by 25,000+ developers.

Twelve Labs provides AI APIs for extracting understanding from video at scale. Its Marengo model enables semantic video search - finding moments in video by describing what happens in natural language - while the Pegasus model generates text from video for summarization, Q&A, and chapter creation. Founded in 2021 by Jae Lee and Seungmin Kim, Twelve Labs has raised $77M total including a $50M Series B in 2024. The platform is used by 25,000+ developers and companies like The New York Times, NBA, and Paramount for video search, content moderation, and AI-generated highlights. Pricing starts free with 600 API credits per month and scales to production on a pay-per-second model.

#video-ai
#video-search
#api
#developer-tools
#content-moderation
Freemium

Free plan available

Update Tool
twelvelabs.io
Freemium
Pricing Model
Video & Audio
Category
2021
Since
Free Plan
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Key Features

  • Marengo model for semantic video search - find any moment by describing it in natural language
  • Pegasus model for text generation from video - Q&A, chapter detection, summaries, and highlights
  • Video embedding API that converts video into searchable vector representations
  • Multi-modal understanding of visual content, speech, text overlays, and ambient sounds simultaneously
  • Batch processing for indexing large video libraries at scale
  • Webhook support for triggering actions when specific content appears in indexed video
  • Python and JavaScript SDKs with detailed documentation and hosted playground

Use Cases

  • Media companies building semantic search over large video archives without manual tagging
  • Sports platforms generating AI highlights and play summaries automatically from game footage
  • E-learning platforms enabling chapter navigation and Q&A over recorded course videos
  • Content moderation teams detecting policy-violating moments in user-uploaded video

Pros

  • Only production-ready API for true semantic video understanding - competitors rely on transcript-only search
  • Pegasus generates accurate text from visual content without depending solely on speech transcripts
  • Free tier with 600 monthly credits allows meaningful development and testing before any payment

Cons

  • Pay-per-second pricing can become expensive for applications indexing large video libraries
  • Does not support real-time video streams - video must be fully uploaded before indexing begins
  • Indexing latency for long videos means results are not immediate for freshly uploaded content

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