Eden AI Deepfake Detection Async API

openapi: 3.2.0
info:
  title: Video Features Deepfake Detection Async API
  version: '2.0'
  description: Your project description
servers:
- url: https://api.edenai.run/v2
tags:
- name: Deepfake Detection Async
paths:
  /video/deepfake_detection_async/:
    get:
      operationId: video_deepfake_detection_async_retrieve
      description: 'Get a list of all jobs launched for this feature. You''ll then be able to use the ID of each one to get its status and results.


        Please note that a **job status doesn''t get updated until a get request** is sent.'
      summary: Deepfake Detection List Jobs
      tags:
      - Deepfake Detection Async
      security:
      - FeatureApiAuth: []
      - {}
      responses:
        '200':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ListAsyncJobResponse'
              examples:
                ResponseExample:
                  value:
                    jobs:
                    - providers: '[''resemble'']'
                      nb: 1
                      nb_ok: 1
                      public_id: 173f771e-80d4-46a0-8c75-4189d28456fa
                      state: finished
                      created_at: '2026-09-06T00:05:16.762132'
                    - providers: '[''resemble'']'
                      nb: 1
                      nb_ok: 1
                      public_id: 26a9955d-9aee-464a-82d2-31a641f44f62
                      state: finished
                      created_at: '2026-09-05T23:05:16.762145'
                    - providers: '[''resemble'']'
                      nb: 1
                      nb_ok: 1
                      public_id: 5d29d203-3f10-4f4e-a4a5-366792190005
                      state: finished
                      created_at: '2026-09-05T22:05:16.762152'
                  summary: Response Example
          description: ''
    post:
      operationId: video_deepfake_detection_async_create
      description: 'Available Providers


        |Provider|Version|Price|Billing unit|

        |----|-------|-----|------------|

        |**resemble**|`v2`|0.07 (per 1 seconde)|1 seconde'
      summary: Deepfake Detection Launch Job
      tags:
      - Deepfake Detection Async
      requestBody:
        content:
          multipart/form-data:
            schema:
              $ref: '#/components/schemas/AsyncVideoAnalysisRequest'
            examples:
              RequestExample:
                value:
                  providers: resemble
                  file: /edenai/edenai/features/video/samples/data/faces.mp4
                summary: Request Example
          application/json:
            schema:
              $ref: '#/components/schemas/AsyncVideoAnalysisRequest'
            examples:
              RequestExample:
                value:
                  providers: resemble
                  file_url: http://edenai-resource-example.mp4
                summary: Request Example
        required: true
      security:
      - FeatureApiAuth: []
      - {}
      responses:
        '200':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/LaunchAsyncJobResponse'
              examples:
                ResponseExample:
                  value:
                    public_id: 45133e7c-d15b-48bd-b2bd-7f3ecddff500
                  summary: Response Example
          description: ''
    delete:
      operationId: video_deepfake_detection_async_destroy
      description: 'Generic class to handle method GET all async job for user


        Attributes:

        feature (str): EdenAI feature

        subfeature (str): EdenAI subfeature'
      summary: Deepfake Detection delete Jobs
      tags:
      - Deepfake Detection Async
      security:
      - FeatureApiAuth: []
      - {}
      responses:
        '204':
          description: No response body
  /video/deepfake_detection_async/{public_id}/:
    get:
      operationId: video_deepfake_detection_async_retrieve_2
      description: Get the status and results of an async job given its ID.
      summary: Deepfake Detection Get Job Results
      parameters:
      - in: path
        name: public_id
        schema:
          type: string
        required: true
      - in: query
        name: response_as_dict
        schema:
          type: boolean
          default: true
      - in: query
        name: show_base_64
        schema:
          type: boolean
          default: true
      - in: query
        name: show_original_response
        schema:
          type: boolean
          default: false
      tags:
      - Deepfake Detection Async
      security:
      - FeatureApiAuth: []
      responses:
        '200':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/asyncvideodeepfake_detection_asyncResponseModel'
              examples:
                ResponseExample:
                  value:
                    public_id: f070b254-3f40-4e38-97b5-601e5a97ff93
                    status: finished
                    error: null
                    results:
                      resemble:
                        error: null
                        id: 9a36409d-6323-4be7-b283-9ecf2e79bba7
                        final_status: finished
                        average_score: 0.02
                        prediction: original
                        details_per_frame:
                        - position: 0.0
                          score: 0.02
                          prediction: original
                        - position: 2000.0
                          score: 0.03
                          prediction: original
                        - position: 4000.0
                          score: 0.02
                          prediction: original
                  summary: Response Example
          description: ''
        '400':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/BadRequest'
          description: ''
        '500':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Error'
          description: ''
        '403':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Error'
          description: ''
        '404':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/NotFoundResponse'
          description: ''
components:
  schemas:
    BadRequest:
      type: object
      properties:
        error:
          $ref: '#/components/schemas/NestedBadRequest'
      required:
      - error
    videodeepfake_detection_asyncModel:
      properties:
        resemble:
          $ref: '#/components/schemas/videodeepfake_detection_asyncDeepfakeDetectionAsyncDataClass'
          default: null
        sightengine:
          $ref: '#/components/schemas/videodeepfake_detection_asyncDeepfakeDetectionAsyncDataClass'
          default: null
      title: videodeepfake_detection_asyncModel
      type: object
    StateEnum:
      enum:
      - finished
      - failed
      - Timeout error
      - processing
      type: string
      description: '* `finished` - finished

        * `failed` - failed

        * `Timeout error` - Timeout error

        * `processing` - processing'
    NotFoundResponse:
      type: object
      properties:
        details:
          type: string
          default: Not Found
    NestedBadRequest:
      type: object
      properties:
        type:
          type: string
        message:
          $ref: '#/components/schemas/FieldError'
      required:
      - message
      - type
    FieldError:
      type: object
      properties:
        <parameter_name>:
          type: array
          items:
            type: string
      required:
      - <parameter_name>
    AsyncVideoAnalysisRequest:
      type: object
      properties:
        settings:
          type: string
          default: {}
          description: "A dictionnary or a json object to specify specific models to use for some providers. <br>                     It can be in the following format: {\"google\" : \"google_model\", \"ibm\": \"ibm_model\"...}.\n                     "
        providers:
          type: array
          items:
            type: string
            minLength: 1
          description: 'It can be one (ex: **''amazon''** or **''google''**) or multiple provider(s) (ex: **''amazon,microsoft,google''**)             that the data will be redirected to in order to get the processed results.<br>             Providers can also be invoked with specific models (ex: providers: **''amazon/model1, amazon/model2, google/model3''**)'
        fallback_providers:
          type: array
          items:
            type: string
          default: []
          description: "Providers in this list will be used as fallback if the call to provider in `providers` parameter fails.\n    To use this feature, you must input **only one** provider in the `providers` parameter. but you can put up to 5 fallbacks.\n\nThey will be tried in the same order they are input, and it will stop to the first provider who doesn't fail.\n\n\n*Doesn't work with async subfeatures.*\n    "
          maxItems: 5
        show_original_response:
          type: boolean
          default: false
          description: "Optional : Shows the original response of the provider.<br>\n        When set to **true**, a new attribute *original_response* will appear in the response object."
        webhook_receiver:
          type: string
          format: uri
          minLength: 1
          description: 'Webhook receiver should be a valid https URL (ex : https://your.listner.com/endpoint).             After the processing is done, the webhook endpoint will receive a POST request with the result.'
        users_webhook_parameters:
          description: 'Json data that contains of additional parameters that will be sent back to the webhook receiver             (ex: api key for security or client''s data ID to link the result internally).             Will only be used when webhook_receiver is set.'
        send_webhook_data:
          type: boolean
          default: true
          description: If set to false the webhook will not contain the result data. Use if your webhook receiver has a request size limit.
        show_base_64:
          type: boolean
          default: true
        file:
          type: string
          format: binary
          description: 'File to analyse in binary format to be used with *content-type*: **multipart/form-data** <br> **Does not work with application/json !**'
          pattern: (?:mov|mp4|avi)$
        file_url:
          type:
          - string
          - 'null'
          format: uri
          description: 'File **URL** to analyse to be used with with *content-type*: **application/json**.'
      required:
      - providers
    Error:
      type: object
      properties:
        error:
          $ref: '#/components/schemas/NestedError'
      required:
      - error
    ListAsyncJobResponse:
      type: object
      properties:
        jobs:
          type: array
          items:
            $ref: '#/components/schemas/AsyncJobList'
      required:
      - jobs
    AsyncJobList:
      type: object
      properties:
        providers:
          type: string
        nb:
          type: integer
        nb_ok:
          type: integer
        public_id:
          type: string
          format: uuid
        state:
          $ref: '#/components/schemas/StateEnum'
        created_at:
          type: string
          format: date-time
      required:
      - created_at
      - nb
      - nb_ok
      - providers
      - public_id
      - state
    DetailPerFrame:
      properties:
        position:
          title: Position
          type: integer
        score:
          maximum: 1
          minimum: 0
          title: Score
          type: integer
        prediction:
          allOf:
          - $ref: '#/components/schemas/PredictionEnum'
          title: Prediction
      required:
      - position
      - score
      - prediction
      title: DetailPerFrame
      type: object
    FinalStatusEnum:
      enum:
      - sucess
      - fail
      type: string
    LaunchAsyncJobResponse:
      type: object
      properties:
        public_id:
          type: string
          format: uuid
      required:
      - public_id
    asyncvideodeepfake_detection_asyncResponseModel:
      properties:
        results:
          $ref: '#/components/schemas/videodeepfake_detection_asyncModel'
        error:
          title: Error
          type: string
        public_id:
          format: uuid
          title: Public Id
          type: string
        status:
          title: Status
          type: string
      required:
      - results
      - error
      - public_id
      - status
      title: asyncvideodeepfake_detection_asyncResponseModel
      type: object
    videodeepfake_detection_asyncDeepfakeDetectionAsyncDataClass:
      properties:
        average_score:
          maximum: 1
          minimum: 0
          title: Average Score
          type: integer
        prediction:
          allOf:
          - $ref: '#/components/schemas/PredictionEnum'
          title: Prediction
        details_per_frame:
          items:
            $ref: '#/components/schemas/DetailPerFrame'
          title: Details Per Frame
          type: array
        original_response:
          default: null
          description: original response sent by the provider, hidden by default, show it by passing the `show_original_response` field to `true` in your request
          title: Original Response
        id:
          title: Id
          type: string
        final_status:
          allOf:
          - $ref: '#/components/schemas/FinalStatusEnum'
          title: Final Status
        error:
          additionalProperties: true
          default: null
          title: Error
          type: object
      required:
      - average_score
      - prediction
      - id
      - final_status
      title: videodeepfake_detection_asyncDeepfakeDetectionAsyncDataClass
      type: object
    NestedError:
      type: object
      properties:
        type:
          type: string
        message:
          type: string
      required:
      - message
      - type
    PredictionEnum:
      enum:
      - deepfake
      - original
      type: string
  securitySchemes:
    FeatureApiAuth:
      type: http
      scheme: bearer
      bearerFormat: JWT