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Imentiv AI

Imentiv AI is an AI-powered platform for analyzing the emotional makeup of videos. The platform uses advanced artificial intelligence to make videos emotionally smart by detecting and analyzing emotions in video content.

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Artificial IntelligenceEmotion DetectionMachine LearningVideo Analysis

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Imentiv AI API

The Imentiv AI API enables developers to discover the emotional makeup of videos, audio, images, and text using advanced Emotion AI. The platform detects emotions through facial...

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opencollection: 1.0.0
info:
  name: Welcome to Imentiv AI
  version: 1.0.0
items:
- info:
    name: Video Emotion API
    type: folder
  items:
  - info:
      name: Upload Video
      type: http
    http:
      method: POST
      url: '{{baseUrl}}/v2/videos'
      body:
        type: multipart-form
        data: []
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: 'Analyze emotions and facial expressions from video content.


      Submit a video from multiple sources and receive detailed emotion analysis

      of all detected faces throughout the video timeline.


      **Input Sources:**

      - **YouTube**: Provide any YouTube video URL

      - **Cloud Storage**: Dropbox, Google Drive, or other cloud service links

      - **Social Media**: Instagram, Facebook, Twitter (X) videos

      - **Direct URL**: Any publicly accessible video link

      - **File Upload**: Upload video files directly from your dev'
  - info:
      name: List Videos
      type: http
    http:
      method: GET
      url: '{{baseUrl}}/v1/videos'
      params:
      - name: offset_video_id
        value: ''
        type: query
        description: The ID of the reference video from which to paginate forward/backward
      - name: page_size
        value: ''
        type: query
        description: 'Number of results to return (default: 10)'
      - name: direction
        value: ''
        type: query
        description: 'Pagination direction: forward (default) or backward'
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: Retrieves a paginated list of uploaded video files associated with the authenticated user.
  - info:
      name: Get Video Emotion Insights
      type: http
    http:
      method: GET
      url: '{{baseUrl}}/v1/videos/:video_id'
      params:
      - name: video_id
        value: ''
        type: path
        description: The unique ID of the video to be fetched
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: Get a single video details by ID
  - info:
      name: Reprocess Video
      type: http
    http:
      method: PUT
      url: '{{baseUrl}}/v1/videos/:video_id'
      params:
      - name: video_id
        value: ''
        type: path
        description: Unique identifier of the video to reprocess
      body:
        type: form-urlencoded
        data: []
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: 'Reprocess an already uploaded and completed video file.

      This is useful when insights need to be regenerated or logic has been updated on the backend.

      Reprocessing can optionally notify your system via a callback URL.'
  - info:
      name: Delete Video
      type: http
    http:
      method: DELETE
      url: '{{baseUrl}}/v1/videos/:video_id'
      params:
      - name: video_id
        value: ''
        type: path
        description: The unique ID of the video to be deleted.
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: Permanently deletes a video file and all associated emotional insights. This action is irreversible.
  - info:
      name: Get Video Multimodal Insights
      type: http
    http:
      method: GET
      url: '{{baseUrl}}/v2/videos/:video_id/multimodal-analytics'
      params:
      - name: video_id
        value: ''
        type: path
        description: The unique ID of the video
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: 'Get complete multimodal analytics for a video including:

      - Video emotion analysis (face-by-face)

      - Audio emotion analysis (speaker-by-speaker)

      - Text sentiment analysis

      - Detected faces and speakers

      - Overall summaries'
  - info:
      name: Get Average Emotions
      type: http
    http:
      method: GET
      url: '{{baseUrl}}/v2/videos/:video_id/emotions/average'
      params:
      - name: video_id
        value: ''
        type: path
        description: The unique video ID of the video for which average emotions are to be calculated
      - name: face_id
        value: ''
        type: query
        description: Optional face ID to calculate average emotions for a specific face
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: 'Calculate and retrieve average emotion scores for a video with optional face filtering.


      This endpoint computes the average emotion percentages across all frames in a video.

      When a face_id is provided, it calculates the average emotions for only that specific face.


      **Behavior:**

      - **Without face_id**: Returns overall average emotion score for entire video (all faces combined)

      - **With face_id**: Calculates average emotion scores for the specified face


      **Parameters:**

      - `video_id`: Unique ident'
  - info:
      name: Get Annotated Video
      type: http
    http:
      method: GET
      url: '{{baseUrl}}/v2/videos/:video_id/annotated_video'
      params:
      - name: video_id
        value: ''
        type: path
        description: The unique video ID of the video
      - name: callback_url
        value: ''
        type: query
        description: Optional callback URL to notify when annotated video generation is complete
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: "Get annotated video with emotion labels and bounding boxes overlaid on each frame.\n\n**How It Works:**\n- First\
      \ request initiates video generation and returns a status response\n- Poll this endpoint to check generation progress\n\
      - When ready, returns a secure signed URL for downloading the video\n\n**Response Types:**\n\n1. **Status Response**\
      \ (JSON) - While generating:\n   ```json\n   {\n     \"video_id\": \"abc123\",\n     \"message\": \"Annotated video\
      \ is currently being generated...\",\n     \"status\": \"pending\"\n"
  - info:
      name: Get Valence Arousal
      type: http
    http:
      method: GET
      url: '{{baseUrl}}/v1/videos/:video_id/valence_arousal'
      params:
      - name: video_id
        value: ''
        type: path
        description: The unique video ID of the video whose emotion intensity is to be fetched
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: Get emotion intensities of a video based on video_id
  - info:
      name: Get Multiple Frame
      type: http
    http:
      method: GET
      url: '{{baseUrl}}/v1/videos/:video_id/frames'
      params:
      - name: video_id
        value: ''
        type: path
        description: The unique video ID of the video for which the frames to be fetched
      - name: start_frame
        value: ''
        type: query
        description: The frame number from which retrieval should begin. Defaults to the start of the video if not provided.
      - name: length
        value: ''
        type: query
        description: The number of frames to retrieve, starting from 'start_frame'. If omitted, all available frames will
          be returned.
      - name: face_ids
        value: ''
        type: query
        description: Optional comma-separated list of face IDs (e.g., '1,2,3')
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: API to Retrieve Frames of the video based on video_id.
  - info:
      name: Get Single Frame
      type: http
    http:
      method: GET
      url: '{{baseUrl}}/v1/videos/:video_id/frames/:frame_id'
      params:
      - name: video_id
        value: ''
        type: path
        description: The unique video ID of the video for which the frame to be fetched.
      - name: frame_id
        value: ''
        type: path
        description: The unique frame ID of the frame to be fetched.
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: Get a unique frame details based on video_id and frame_id
  - info:
      name: Retrieve Domination Emotion For A Specific Frame
      type: http
    http:
      method: GET
      url: '{{baseUrl}}/v1/videos/:video_id/frames/:frame_id/dominant_emotion'
      params:
      - name: video_id
        value: ''
        type: path
        description: Unique identifier of the video from which the frame’s dominant emotion is to be fetched.
      - name: frame_id
        value: ''
        type: path
        description: The unique id of the frame from which the dominant emotion is to be fetched.
      - name: face_id
        value: ''
        type: query
        description: The id of the face whose dominant emotion is to be retrieved. If not provided, the dominant emotion for
          the entire frame will be returned.
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: 'This API endpoint is designed to fetch and return the dominant emotion of frames within a video based on its video_id.

      If face_id is provided, the dominant emotion of a specific face will be the output.'
  - info:
      name: Retrieve Emotion Intensity
      type: http
    http:
      method: GET
      url: '{{baseUrl}}/v1/videos/:video_id/frames/:frame_id/valence_arousal'
      params:
      - name: video_id
        value: ''
        type: path
        description: The unique video ID of the video for which the frame's valence, arousal, and intensity are to be fetched.
      - name: frame_id
        value: ''
        type: path
        description: The unique frame ID of the frame from which to fetch the valence, arousal, and intensity.
      - name: face_id
        value: ''
        type: query
        description: The ID of the face whose valence, arousal, and intensity are to be retrieved. If not provided, these
          values for the entire frame will be returned.
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: Retrieve Emotion Intensity for a Specific Frame
  - info:
      name: Update Emotion Per Frame
      type: http
    http:
      method: PUT
      url: '{{baseUrl}}/v1/videos/:video_id/frames/:frame_id/faces/:face_id/emotions'
      params:
      - name: video_id
        value: ''
        type: path
        description: The unique video ID of the video.
      - name: frame_id
        value: ''
        type: path
        description: The unique frame ID of the frame.
      - name: face_id
        value: ''
        type: path
        description: The unique face ID of the face in the frame.
      body:
        type: form-urlencoded
        data: []
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: Update the emotion of a specific face in a frame
  - info:
      name: Edit Face Note
      type: http
    http:
      method: PUT
      url: '{{baseUrl}}/v1/videos/:video_id/frames/:frame_id/faces/:face_id/note'
      params:
      - name: video_id
        value: ''
        type: path
        description: The unique video id of the video.
      - name: frame_id
        value: ''
        type: path
        description: The unique id of the frame inside the video.
      - name: face_id
        value: ''
        type: path
        description: The unique id of the face inside the frame. Use '0' to add a note to the entire frame instead of a specific
          face.
      body:
        type: form-urlencoded
        data: []
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: Update the note associated with a detected face in a frame.
  - info:
      name: Update Multiple Faces
      type: http
    http:
      method: PUT
      url: '{{baseUrl}}/v1/videos/:video_id/frames/faces'
      params:
      - name: video_id
        value: ''
        type: path
        description: The unique video ID of the video in which face ID to be changed
      body:
        type: form-urlencoded
        data: []
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: Update Face ID in multiple frames of a video
  - info:
      name: Merge Face
      type: http
    http:
      method: PUT
      url: '{{baseUrl}}/v1/videos/:video_id/faces'
      params:
      - name: video_id
        value: ''
        type: path
        description: The unique video ID of the video.
      body:
        type: form-urlencoded
        data: []
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: Merge multiple face detections into a single face to remove duplicates from a video.
  - info:
      name: Delete Faces
      type: http
    http:
      method: DELETE
      url: '{{baseUrl}}/v1/videos/:video_id/faces'
      params:
      - name: video_id
        value: ''
        type: path
        description: The unique identifier of the video from which faces will be deleted.
      body:
        type: form-urlencoded
        data: []
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: Delete specified faces from a video while ensuring at least one face remains.
  - info:
      name: Update Faces Names
      type: http
    http:
      method: PUT
      url: '{{baseUrl}}/v1/videos/:video_id/faces/names'
      params:
      - name: video_id
        value: ''
        type: path
        description: The unique video ID of the video.
      body:
        type: json
        data: '{}'
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: Updates the names of multiple faces in a video.
  - info:
      name: Process Highlight
      type: http
    http:
      method: POST
      url: '{{baseUrl}}/v1/videos/highlights'
      body:
        type: form-urlencoded
        data: []
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: "Trigger automatic highlight video generation using emotion-based analysis.\n\nAnalyzes video frames to identify\
      \ emotionally significant moments and generates\na highlight reel. The process runs asynchronously via Celery workers.\n\
      \nArgs:\n    video_id: The unique video ID for highlight generation\n    user_info: Authenticated user information\n\
      \    api_info: API request metadata including domain\n\nReturns:\n    HighlightGenerateResponse: Contains video_id,\
      \ processing status, and message\n    \nRaises:\n    In"
  - info:
      name: Fetch Highlight Video
      type: http
    http:
      method: GET
      url: '{{baseUrl}}/v1/videos/:video_id/highlights'
      params:
      - name: video_id
        value: ''
        type: path
        description: The video id to get the highlight video url
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: API endpoint for highlight generation of a video.
  - info:
      name: Update Highlight Video
      type: http
    http:
      method: PUT
      url: '{{baseUrl}}/v1/videos/:video_id/highlights'
      params:
      - name: video_id
        value: ''
        type: path
        description: The unique video id of the video for which the update highlight video to be edited.
      body:
        type: json
        data: '{}'
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: "Generate custom highlight video using user-defined time segments.\n\nCreates a highlight reel by concatenating\
      \ specific video segments chosen by the user.\nThe process runs asynchronously via Celery workers to handle video processing.\n\
      \nArgs:\n    video_id: The unique video ID for which highlights are being generated\n    segments: List of time segments\
      \ with start_millis and end_millis timestamps\n    user_info: Authenticated user information\n\nReturns:\n    HighlightGenerateResponse:\
      \ Contains video_id, "
  - info:
      name: Download Highlight Video
      type: http
    http:
      method: GET
      url: '{{baseUrl}}/v1/videos/:video_id/highlight_video'
      params:
      - name: video_id
        value: ''
        type: path
        description: The video id to download the highlight video.
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: Download the highlight video.
  - info:
      name: Edit Title Or Description By Id
      type: http
    http:
      method: PUT
      url: '{{baseUrl}}/v1/videos/:video_id/metadata'
      params:
      - name: video_id
        value: ''
        type: path
        description: Provide the video ID to edit or title and description of the audio
      body:
        type: form-urlencoded
        data: []
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: Edit the title or description of a video  based on the provided audio ID.
  - info:
      name: Download Video Emotion Analysis Report
      type: http
    http:
      method: GET
      url: '{{baseUrl}}/v1/videos/:video_id/report'
      params:
      - name: video_id
        value: ''
        type: path
        description: Provide the video ID to download analysis
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: Download a videos processed analysis details based on the provided video ID.
  - info:
      name: Generate Video Emotion Analysis Report
      type: http
    http:
      method: POST
      url: '{{baseUrl}}/v1/videos/:video_id/report'
      params:
      - name: video_id
        value: ''
        type: path
        description: The unique video ID of the video whose analysis report is to be generated.
      body:
        type: form-urlencoded
        data: []
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: 'Initiates the generation of an analysis report for the specified video.

      The user will be notified at the provided callback URL once the process is complete.'
  - info:
      name: Trigger Speaker Face Match
      type: http
    http:
      method: POST
      url: '{{baseUrl}}/v2/videos/:video_id/speaker-face-match'
      params:
      - name: video_id
        value: ''
        type: path
        description: Unique identifier of the video. Video must be in 'completed' status with associated audio.
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: "Trigger automatic AI-driven speaker-to-face matching for a video.\n\nThis endpoint initiates an asynchronous process\
      \ that automatically matches\nspeakers from the audio analysis to faces detected in the video using AI.\n\n\n## Prerequisites\n\
      \n- User must be the video owner or an admin\n- Video must be in 'completed' status\n- Audio must be in 'completed'\
      \ status\n- Video must have an associated audio_id\n\n## Response\n\n```json\n{\n  \"video_id\": \"abc123\",\n  \"audio_id\"\
      : \"xyz789\",\n  \"status\": \"processing\",\n  \"mes"
  - info:
      name: Update Speaker Face Match
      type: http
    http:
      method: PUT
      url: '{{baseUrl}}/v2/videos/:video_id/speaker-face-match'
      params:
      - name: video_id
        value: ''
        type: path
        description: Unique identifier of the video. Video must be in 'completed' status with associated audio analysis.
      body:
        type: json
        data: '{}'
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: "Manually match detected faces to identified speakers with bidirectional name synchronization.\n\nThis endpoint\
      \ enables client-driven multimodal person identification by allowing you to manually\nspecify which detected faces (from\
      \ video analysis) correspond to which identified speakers \n(from audio analysis). Each mapping synchronizes identity\
      \ information across video and audio \nmodalities while managing personality analysis data.\n\n## Features\n\n- **Face-to-Speaker\
      \ Mapping**: Links face IDs (from vid"
  - info:
      name: Trigger Personality Analysis
      type: http
    http:
      method: POST
      url: '{{baseUrl}}/v2/videos/:video_id/personality/analyze'
      params:
      - name: video_id
        value: ''
        type: path
        description: Unique identifier of the video. Video must be in 'completed' status with detected faces.
      body:
        type: form-urlencoded
        data: []
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: 'Trigger personality analysis for a specific face in a video.


      Initiates asynchronous personality trait assessment based on facial expressions and,

      when available, vocal characteristics from linked audio speaker data.


      ## Analysis Types


      - **overall**: Analyzes personality traits across the entire video

      - **by_segment**: Analyzes personality traits by time segments

      - **combined**: Performs both overall and segment analysis


      Overall and segment analyses are independent - triggering one does not af'
  - info:
      name: Get Personality Analysis
      type: http
    http:
      method: GET
      url: '{{baseUrl}}/v2/videos/:video_id/faces/:face_id/personality-analysis'
      params:
      - name: video_id
        value: ''
        type: path
        description: Unique identifier of the video containing the face.
      - name: face_id
        value: ''
        type: path
        description: Face identifier for which to retrieve personality analysis.
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: 'Retrieve OCEAN personality analysis results for a specific face in a video.


      This endpoint provides comprehensive Big Five (OCEAN) personality trait analysis for a specific

      face detected in a video. It retrieves both processing status and completed analysis data from

      dual data sources, returning conditional data based on completion status.'
- info:
    name: Audio Emotion API
    type: folder
  items:
  - info:
      name: Upload Audio
      type: http
    http:
      method: POST
      url: '{{baseUrl}}/v2/audios'
      body:
        type: multipart-form
        data: []
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: 'Analyze emotions and speech patterns from audio content.


      Submit audio from multiple sources and receive detailed emotion analysis,

      speaker identification, and transcription with emotional insights.


      **Input Sources:**

      - **YouTube**: Provide any YouTube video URL (audio will be extracted)

      - **Instagram**: Instagram Reels and video posts (public content)

      - **Twitter/X**: Twitter video posts and media content

      - **Facebook**: Facebook video posts (public content)

      - **Cloud Storage**: Dropbox, Googl'
  - info:
      name: List Audios
      type: http
    http:
      method: GET
      url: '{{baseUrl}}/v1/audios'
      params:
      - name: offset_audio_id
        value: ''
        type: query
        description: The ID of the reference audio from which to paginate forward/backward
      - name: page_size
        value: ''
        type: query
        description: 'Number of results to return (default: 20, max: 100)'
      - name: direction
        value: ''
        type: query
        description: 'Pagination direction: forward (default) or backward'
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: API to get audios processed by user with pagination.
  - info:
      name: Get Audio Emotion Insights
      type: http
    http:
      method: GET
      url: '{{baseUrl}}/v1/audios/:audio_id'
      params:
      - name: audio_id
        value: ''
        type: path
        description: The unique ID of the uploaded audio
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: Retrieve Single Audio based on audio_id.
  - info:
      name: Reprocess Audio
      type: http
    http:
      method: PUT
      url: '{{baseUrl}}/v1/audios/:audio_id'
      params:
      - name: audio_id
        value: ''
        type: path
        description: Unique identifier of the audio to reprocess
      body:
        type: form-urlencoded
        data: []
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: Reprocess an audio file based on audio id.
  - info:
      name: Delete An Audio
      type: http
    http:
      method: DELETE
      url: '{{baseUrl}}/v1/audios/:audio_id'
      params:
      - name: audio_id
        value: ''
        type: path
        description: Unique identifier of the audio to be deleted
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: Deletes a specific audio file and all associated emotion analysis data from the system. This action is irreversible.
  - info:
      name: Get Audio Multimodal Insights
      type: http
    http:
      method: GET
      url: '{{baseUrl}}/v2/audios/:audio_id/multimodal-analytics'
      params:
      - name: audio_id
        value: ''
        type: path
        description: The unique ID of the audio
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: 'Get complete multimodal analytics for an audio file including:

      - Audio emotion analysis (speaker-by-speaker)

      - Text sentiment analysis from transcription

      - Detected speakers

      - Overall summaries'
  - info:
      name: Delete Audio Segment
      type: http
    http:
      method: DELETE
      url: '{{baseUrl}}/v1/audios/:audio_id/:segment_index'
      params:
      - name: audio_id
        value: ''
        type: path
        description: Unique identifier of the audio file
      - name: segment_index
        value: ''
        type: path
        description: The index of the segment to delete (0-based indexing)
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: 'Deletes a specific segment of an audio file based on the segment index. After deletion,

      the remaining segments are reindexed to fill the gap — e.g., if segment 1 is deleted, segment 2 becomes 1'
  - info:
      name: Update Audio Transcripts Segments
      type: http
    http:
      method: PUT
      url: '{{baseUrl}}/v1/audios/:audio_id/transcript'
      params:
      - name: audio_id
        value: ''
        type: path
        description: Unique identifier of the audio file
      body:
        type: json
        data: '{}'
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: 'Update the transcript and timestamp data for specific segments within an audio file.

      This is useful when refining speaker diarization, correcting transcription errors,

      or uploading external transcript data.'
  - info:
      name: Update Speaker Names
      type: http
    http:
      method: PUT
      url: '{{baseUrl}}/v1/audios/:audio_id/speakers/names'
      params:
      - name: audio_id
        value: ''
        type: path
        description: Unique identifier of the audio file
      body:
        type: json
        data: '{}'
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: 'Update the names of detected speakers in an audio file. This is useful for labeling anonymized

      speaker IDs with human-readable names (e.g., "John", "Customer", "Agent").'
  - info:
      name: Edit Title Or Description
      type: http
    http:
      method: PUT
      url: '{{baseUrl}}/v1/audios/:audio_id/metadata'
      params:
      - name: audio_id
        value: ''
        type: path
        description: Provide the audio ID to edit the title or description of the audio
      body:
        type: form-urlencoded
        data: []
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: 'Update the metadata of an audio file.

      This endpoint allows you to edit the title (which is auto-generated from the file name by default)

      and add or update a description.'
  - info:
      name: Download Audio Emotion Report
      type: http
    http:
      method: GET
      url: '{{baseUrl}}/v1/audios/:audio_id/report'
      params:
      - name: audio_id
        value: ''
        type: path
        description: Unique identifier of the audio file
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: 'Download a detailed report of the emotional insights extracted from a specific audio file.

      The report includes average emotions, segment-level analysis, speaker information,

      and summary—formatted as a downloadable file (e.g., PDF or CSV).'
  - info:
      name: Replace Audio Transcript
      type: http
    http:
      method: PUT
      url: '{{baseUrl}}/v1/audios/:audio_id/transcript/replace'
      params:
      - name: audio_id
        value: ''
        type: path
        description: Unique identifier of the audio file
      body:
        type: json
        data: '{}'
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: Replace Audio Transcript
- info:
    name: Text Emotion API
    type: folder
  items:
  - info:
      name: Upload Text
      type: http
    http:
      method: POST
      url: '{{baseUrl}}/v2/texts'
      body:
        type: form-urlencoded
        data: []
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: 'Analyze emotions and sentiment from text content.


      Submit text directly and receive detailed emotion analysis


      **How It Works:**

      1. Submit your text with a title and receive an immediate response with a text ID

      2. Text is queued for processing (typically completes within seconds)

      3. Optionally receive a webhook notification via `callback_url` when complete

      4. Retrieve results using the text ID


      **Credit Usage:**

      Processing is billed based on the word count of your text.'
  - info:
      name: List Texts
      type: http
    http:
      method: GET
      url: '{{baseUrl}}/v1/texts'
      params:
      - name: start_after
        value: ''
        type: query
        description: The ID of the reference text from which to paginate forward/backward
      - name: page_size
        value: ''
        type: query
        description: 'Number of results to return (default: 10)'
      - name: direction
        value: ''
        type: query
        description: 'Pagination direction: forward (default) or backward'
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: 'Retrieves a paginated list of all uploaded or processed images.

      Use this endpoint to browse through text records based on their ID, status, and title.'
  - info:
      name: Get Text Emotion Insights
      type: http
    http:
      method: GET
      url: '{{baseUrl}}/v1/texts/:text_id'
      params:
      - name: text_id
        value: ''
        type: path
        description: The unique ID of the text.
      auth:
        type: apikey
        key: X-API-Key
        value: '{{X-API-Key}}'
        placement: header
    docs: 'Retrieves detailed emotion analysis results for a specific uploaded text.

      Includes paragraph wise analysis, and su

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