TwelveLabs Analyze API

Generate text from video with Pegasus (analyze, gist, summarize).

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Specifications

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OpenAPI Specification

twelvelabs-analyze-api-openapi.yml Raw ↑
openapi: 3.0.1
info:
  title: TwelveLabs Analyze API
  description: REST API for the TwelveLabs video-understanding platform. Upload and index video, run any-to-video semantic search (Marengo), generate text from video (Pegasus) - open-ended analysis, gist, and summaries - and create multimodal embeddings. All requests are authenticated with an `x-api-key` header.
  termsOfService: https://www.twelvelabs.io/terms-of-use
  contact:
    name: TwelveLabs Support
    url: https://docs.twelvelabs.io
    email: support@twelvelabs.io
  version: '1.3'
servers:
- url: https://api.twelvelabs.io/v1.3
security:
- apiKeyAuth: []
tags:
- name: Analyze
  description: Generate text from video with Pegasus (analyze, gist, summarize).
paths:
  /analyze:
    post:
      operationId: analyzeVideo
      tags:
      - Analyze
      summary: Sync analysis (open-ended text generation)
      description: Generates open-ended text from a video with the Pegasus model based on a prompt. Returns the result in a single response, or as an NDJSON stream when `stream` is true (default).
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/AnalyzeRequest'
      responses:
        '200':
          description: OK. Single JSON response, or `application/x-ndjson` event stream when stream=true.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/AnalyzeResponse'
            application/x-ndjson:
              schema:
                $ref: '#/components/schemas/AnalyzeStreamEvent'
  /gist:
    post:
      operationId: generateGist
      tags:
      - Analyze
      summary: Generate gist (titles, topics, hashtags)
      description: Generates titles, topics, and/or hashtags for an indexed video using Pegasus, based on the requested gist types.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              required:
              - video_id
              - types
              properties:
                video_id:
                  type: string
                  description: Unique identifier of the video.
                types:
                  type: array
                  description: The gist types to generate.
                  items:
                    type: string
                    enum:
                    - title
                    - topic
                    - hashtag
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                type: object
                properties:
                  id:
                    type: string
                  title:
                    type: string
                  topics:
                    type: array
                    items:
                      type: string
                  hashtags:
                    type: array
                    items:
                      type: string
                  usage:
                    $ref: '#/components/schemas/Usage'
  /summarize:
    post:
      operationId: summarizeVideo
      tags:
      - Analyze
      summary: Generate summaries, chapters, or highlights
      description: Generates a summary, chapters, or highlights for an indexed video using Pegasus, optionally guided by a prompt.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              required:
              - video_id
              - type
              properties:
                video_id:
                  type: string
                  description: Unique identifier of the video.
                type:
                  type: string
                  enum:
                  - summary
                  - chapter
                  - highlight
                  description: The kind of text to generate.
                prompt:
                  type: string
                  description: Optional context to guide generation (up to 2,000 tokens).
                temperature:
                  type: number
                  default: 0.2
                  minimum: 0
                  maximum: 1
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                type: object
                properties:
                  id:
                    type: string
                  summary:
                    type: string
                  chapters:
                    type: array
                    items:
                      type: object
                      properties:
                        chapter_number:
                          type: integer
                        start:
                          type: number
                        end:
                          type: number
                        chapter_title:
                          type: string
                        chapter_summary:
                          type: string
                  highlights:
                    type: array
                    items:
                      type: object
                      properties:
                        start:
                          type: number
                        end:
                          type: number
                        highlight:
                          type: string
                  usage:
                    $ref: '#/components/schemas/Usage'
components:
  schemas:
    AnalyzeStreamEvent:
      type: object
      description: One NDJSON event emitted while streaming an analyze response.
      properties:
        event_type:
          type: string
          enum:
          - stream_start
          - text_generation
          - stream_end
        text:
          type: string
          description: A slice of generated text (text_generation events).
        finish_reason:
          type: string
        metadata:
          type: object
          properties:
            generation_id:
              type: string
            usage:
              $ref: '#/components/schemas/Usage'
    AnalyzeResponse:
      type: object
      properties:
        id:
          type: string
        data:
          type: string
          description: The generated text.
        finish_reason:
          type: string
        usage:
          $ref: '#/components/schemas/Usage'
    Usage:
      type: object
      properties:
        output_tokens:
          type: integer
        input_tokens:
          type: integer
    AnalyzeRequest:
      type: object
      required:
      - video_id
      - prompt
      properties:
        video_id:
          type: string
          description: Unique identifier of the video to analyze.
        prompt:
          type: string
          description: The prompt guiding the analysis (up to 2,000 tokens).
        temperature:
          type: number
          default: 0.2
          minimum: 0
          maximum: 1
        stream:
          type: boolean
          default: true
          description: When true, results are streamed as NDJSON events.
        max_tokens:
          type: integer
          description: Maximum number of tokens in the generated text.
        response_format:
          type: object
          description: Optional structured output format (json_schema).
  securitySchemes:
    apiKeyAuth:
      type: apiKey
      in: header
      name: x-api-key
      description: TwelveLabs API key sent in the `x-api-key` request header.