Request media asset analysis

Available in VPC

Analyze a media asset to create an index, which is the result of analysis.
After media asset registration is complete, requesting an analysis will execute the analysis process. For more information, see the workflow image below.

maiu-request-analysis_workflow

Request

This section describes the request format. The method and URI are as follows:

Method	URI
POST	/api/v1/workspaces/{workspace_name}/projects/{project_id}/assets/{asset_id}/analyze

Request headers

For information about the headers common to all Media Intelligence APIs, see Media Intelligence request headers.

Request path parameters

The following describes the parameters.

Field	Type	Required	Description
`workspace_name`	String	Required	Workspace name
`project_id`	String	Required	Project ID See Get project list.
`asset_id`	String	Required	Media asset ID See Get media asset list.

Request body

You can include the following data in the body of your request:

Field	Type	Required	Description
`sceneRange`	String	Optional	(During video analysis) Length of automatically split scenes `EXTRA_SHORT` \| `SHORT` \| `MEDIUM` (default) \| `LONG` `EXTRA_SHORT`: Between 10-20 seconds `SHORT`: Analyze detailed scenes in the video with second-by-second segmentation. `MEDIUM`: Capture key changes while maintaining proper flow between scenes. `LONG`: Maintain a natural flow by enhancing connectivity between scenes.
`analysisPersonCount`	Integer	Required	Number of people to detect when analyzing 0-10 When 0 is entered, people are not analyzed, which speeds up analysis.
`tagIdList`	Array<String>	Optional	Tag of people to detect when analyzing Length: 1-30
`sourceLanguage`	enum	Optional	Language information of the original being analyzed `ENKO` (default) \| `EN` \| `KO` \| `JA` \| `ZH-CN` \| `ZH-TW` `ENKO`: Korean + English `EN`: English `KO`: Korean `JA`: Japanese `ZH-CN`: Chinese (Simplified) `ZH-TW`: Chinese (Traditional)
`detectAudioEffects`	Boolean	Optional	(During video analysis) Audio effect detection `true` \| `false` (default) Detect "applause," "laughter," and "background music" items when enabled.

Request example

The request example is as follows:

curl --location --request POST 'https://mi.apigw.ntruss.com/api/v1/workspaces/my-workspace/projects/1234/assets/5678/analyze' \
--header 'x-ncp-apigw-timestamp: {Timestamp}' \
--header 'x-ncp-iam-access-key: {Access Key}' \
--header 'x-ncp-apigw-signature-v2: {API Gateway Signature}' \
--header 'Content-Type: application/json' \
--data '{
   "sceneRange" : "LONG",
   "sourceLanguage": "ENKO",
   "detectAudioEffects": false,   
   "analysisPersonCount" : 3,
   "tagIdList": [101, 203, 307]
}'

Response

This section describes the response format.

Response body

The response body includes the following data:

Field	Type	Required	Description
`code`	String	Required	API processing result code
`message`	String	Required	API processing result message
`result`	Object	Required	Analysis result
`result.id`	Integer	Required	Media asset ID
`result.createdTime`	String	Required	Index creation date and time ISO 8601 format
`result.createdUserName`	String	Required	User name that created the index

Response status codes

For information about the HTTP status codes common to all Media Intelligence APIs, see Media Intelligence response status codes.

Response example

The response example is as follows:

{
    "code": "0",
    "message": "success",
    "result": {
        "id": 1001,
        "createdTime": "2025-04-23T17:13:48",
        "createdUserName": "username"
    }
}