Twelve Labs

Video intelligence API that makes footage searchable by vision, audio and language

Advanced API
Screenshot of Twelve Labs, Video intelligence API that makes footage searchable by vision, audio and language

What is Twelve Labs?

Twelve Labs is a question answering tool. A video intelligence platform and API for searching, analyzing and summarizing footage across vision, audio and language, with the Marengo retrieval model and the Pegasus generative model behind it.

Twelve Labs is a video intelligence platform built around multimodal models that read footage the way a person would: watching the frames, listening to the audio and parsing the spoken words at the same time. The product line splits into two engines. Marengo handles the indexing and search layer, turning long recordings into vector representations that can be queried with a phrase, an image or a clip. Pegasus handles the generative side, producing summaries, highlights and answers about what happens inside a video. Around those models sit tools for embedding video search into an existing application and for running analysis jobs at scale. The primary audience is technical. Most of the workflow happens through an API, so teams typically arrive with a library of footage, a product idea and engineers who can call endpoints. Media and entertainment companies use it to make archives navigable, sports and broadcasting groups to find moments in match footage, advertising teams to locate product appearances, and security or government operations to retrieve relevant segments from long camera records. Jockey, a conversational agent built on the same models, gives less technical users a way to ask questions about a video in plain language without writing integration code. In practice the work follows a familiar shape: upload or connect video, let the platform index it against the chosen model, then issue natural language queries and receive the matching moments with timestamps rather than a whole file to scrub through. The analysis endpoints extend this from retrieval into description, so a team can ask for a recap of a meeting or a list of key events without watching the recording. Documentation, SDKs and sample apps are published openly, which shortens the path from first API key to a working prototype. Compared with transcription services, Twelve Labs treats speech as one signal among several, so a query about a visual action still works on silent footage. Compared with general purpose video generators, it reads existing material instead of producing new clips. The tradeoff is that it is infrastructure rather than a finished app: value depends on what a team builds on top of the API.

How do you use Twelve Labs?

  1. 1Read the platform overview
    Start with the introduction docs to understand how indexing, search and generation fit together before touching an API key.
  2. 2Compare the models
    Review the models overview to decide which engine suits your task: retrieval for search, a generative model for summaries and answers.
  3. 3Create an account and get API access
    Sign in through the login page and obtain credentials. Keys are managed inside the console after authentication.
  4. 4Install an SDK and index a test video
    Pick a published SDK, upload a short clip and let the platform build an index. Keep the test file small while validating the pipeline.
  5. 5Run a natural language search
    Query the index with a plain description, for example a person entering a car, and inspect the returned segments with timestamps.
  6. 6Borrow structure from a sample app
    Use the sample apps as a reference implementation for upload, indexing and playback before building your own interface.

Pros and cons

Pros

  • Search spans visual content, audio and spoken language in a single queryAI
  • Separate models for retrieval and for generative analysis give teams room to chooseAI
  • Open documentation, SDKs and sample apps make prototyping reasonably quickAI
  • Scales to archive and broadcast libraries rather than single clipsAI
  • Jockey offers a conversational entry point for non developersAI

Cons

  • Core workflow is API first, so a working product still needs engineering effortAI
  • No self serve pricing shown on the homepage, so budgeting requires a sales conversationAI
  • Model behaviour and accuracy depend heavily on footage type and indexing choicesAI
  • Limited value for teams that only need transcription, which cheaper tools coverAI
  • Pricing tiers and usage limits are opaque until you reach the pricing page or salesAI

How much does Twelve Labs cost?

Integrations

SDKs and developer resources are published, alongside sample apps that show how to wire indexing and search into an application. Specific third party integrations are not listed on the homepage.

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Features

Multimodal video understanding across visuals, audio and speech. Marengo powers semantic search that returns the exact moments inside a recording, while Pegasus generates summaries, highlights and answers about content. Supporting capabilities cover embedding search into existing products, bulk analysis jobs, and a conversational agent called Jockey for querying videos without code.

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Frequently asked questions about Twelve Labs

  • Does Twelve Labs have an API?
    Yes, Twelve Labs offers an API.
  • How do you use Twelve Labs?
    The walkthrough on this page covers 6 steps: 1. Read the platform overview 2. Compare the models 3. Create an account and get API access 4. Install an SDK and index a test video 5. Run a natural language search 6. Borrow structure from a sample app.
  • What platforms does Twelve Labs support?
    Twelve Labs is available on Web App.
  • What does Twelve Labs integrate with?
    SDKs and developer resources are published, alongside sample apps that show how to wire indexing and search into an application. Specific third party integrations are not listed on the homepage.
  • What are the limitations of Twelve Labs?
    Core workflow is API first, so a working product still needs engineering effort. No self serve pricing shown on the homepage, so budgeting requires a sales conversation. Model behaviour and accuracy depend heavily on footage type and indexing choices.

Status

StatusActive
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Added10/21/2026

Platforms

Web App

Pricing

FreemiumPaid