> ## Documentation Index > Fetch the complete documentation index at: https://gcore.com/docs/llms.txt > Use this file to discover all available pages before exploring further. # Create AI CM:nsfw task > This algorithm allows to quickly detect inappropriate content, determining that the content is NSFW ("Not Safe For Work") or normal. Generic info about all capabilities and limits see in the generic ["Content Moderation"](/docs/api-reference/streaming/ai/create-ai-task) method. **What is "Not Safe For Work"?** The algorithm has recognized inappropriate content in a video and it might not be suitable to view in public places. The solution provides its confidence level (in percentage) of how sure it is that the content is NSFW, or it most likely does not contain any sexual or similar content. Different to soft-nudity-detection and hard-nudity-detection, this model will only check for sensitive material that can be considered not-safe-for-work. ![AI Content Moderation: NSFW detection visual example](https://demo-files.gvideo.io/apidocs/nsfw-detection.gif) **How to use?** Frames within the specified video are analyzed. Response will contain only frames for which the class nsfw is detected with a confidence of more than 50%. Example of detected NSFW: ``` { "nsfw_detected": true, "detection_results": [ "nsfw" ], "frames": [ { "label": "nsfw", "confidence": 0.93, "frame_number": 1 },.. ] } ``` Example of a response without detecting inappropriate content: ``` { "nsfw_detected": false, "detection_results": [], "frames": [] } ``` Please note that the API only provides a set of data (json) about the objects found, so no video is generated. The demo video video (above ^) was specially created based on json from the API for visual demonstration and better perception of the possibilities. ## OpenAPI ````yaml /api-reference/services_documented/streaming_api.yaml post /streaming/ai/tasks#cm_nsfw openapi: 3.1.0 info: title: Gcore OpenAPI – Streaming API description: >- This OpenAPI is an aggregated OpenAPI specification that unifies all Gcore products into a single file. It covers Cloud, CDN, DNS, WAAP, DDoS Protection, Object Storage, Streaming, and FastEdge services. version: '2026-05-07T20:33:46.548242+00:00' servers: - url: https://api.gcore.com security: - APIKey: [] tags: - name: AI x-displayName: AI - name: Broadcasts x-displayName: Broadcasts - name: Directories x-displayName: Directories - name: Overlays x-displayName: Overlays - name: Players x-displayName: Players - name: Playlists x-displayName: Playlists - name: QualitySets x-displayName: QualitySets - name: Restreams x-displayName: Restreams - name: Streaming Statistics x-displayName: Statistics - name: Streams x-displayName: Streams - name: Subtitles x-displayName: Subtitles - name: Videos x-displayName: Videos paths: /streaming/ai/tasks#cm_nsfw: post: tags: - AI summary: Create AI CM:nsfw task description: >- This algorithm allows to quickly detect inappropriate content, determining that the content is NSFW ("Not Safe For Work") or normal. Generic info about all capabilities and limits see in the generic ["Content Moderation"](/docs/api-reference/streaming/ai/create-ai-task) method. **What is "Not Safe For Work"?** The algorithm has recognized inappropriate content in a video and it might not be suitable to view in public places. The solution provides its confidence level (in percentage) of how sure it is that the content is NSFW, or it most likely does not contain any sexual or similar content. Different to soft-nudity-detection and hard-nudity-detection, this model will only check for sensitive material that can be considered not-safe-for-work. ![AI Content Moderation: NSFW detection visual example](https://demo-files.gvideo.io/apidocs/nsfw-detection.gif) **How to use?** Frames within the specified video are analyzed. Response will contain only frames for which the class nsfw is detected with a confidence of more than 50%. Example of detected NSFW: ``` { "nsfw_detected": true, "detection_results": [ "nsfw" ], "frames": [ { "label": "nsfw", "confidence": 0.93, "frame_number": 1 },.. ] } ``` Example of a response without detecting inappropriate content: ``` { "nsfw_detected": false, "detection_results": [], "frames": [] } ``` Please note that the API only provides a set of data (json) about the objects found, so no video is generated. The demo video video (above ^) was specially created based on json from the API for visual demonstration and better perception of the possibilities. operationId: post_ai_contentmoderation_nsfw parameters: [] requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/ai_contentmoderation_nsfw' responses: '201': description: >- Response returns ID of the created AI task. Using this AI task ID, you can check the status and get the video processing result. Look at GET /ai/results method. content: application/json: schema: $ref: '#/components/schemas/ai_post_response' '400': description: |- Bad request: - "url" is not specified, - Queue limit reached (100), try later, - etc content: application/json: schema: $ref: '#/components/schemas/streaming_error' '422': description: >- This is advanced functionality; to enable it, contact your manager or the Support Team. content: application/json: schema: $ref: '#/components/schemas/upgraderequired' components: schemas: ai_contentmoderation_nsfw: allOf: - $ref: '#/components/schemas/ai_contentmoderation_general' required: - category properties: category: type: string enum: - nsfw description: AI content moderation with NSFW detection algorithm example: url: https://demo-files.gvideo.io/ai_demo_subtitles_nudity_detection.mp4 task_name: content-moderation category: nsfw ai_post_response: type: object required: - task_id properties: task_id: type: string format: uuid description: >- ID of the created AI task, from which you can get the execution result example: task_id: aafe70c6-0000-0000-0000-327b65f7670f streaming_error: type: object properties: error: type: string description: Text message with description of error. example: error: Queue limit reached (100), try later. upgraderequired: type: object properties: error: type: string description: >- This is advanced functionality; to enable it, contact your manager or support service. example: error: Feature is disabled. Contact support to enable. ai_contentmoderation_general: type: object required: - url - task_name properties: task_name: type: string description: Name of the task to be performed enum: - content-moderation url: type: string description: >- URL to the MP4 file to analyse. File must be publicly accessible via HTTP/HTTPS. category: type: string description: >- Model for analysis (content-moderation only). Determines what exactly needs to be found in the video. enum: - sport - nsfw - hard_nudity - soft_nudity client_user_id: type: string maxLength: 256 default: null description: >- Meta parameter, designed to store your own identifier. Can be used by you to tag requests from different end-users. It is not used in any way in video processing. client_entity_data: type: string maxLength: 4096 default: null description: >- Meta parameter, designed to store your own extra information about a video entity: video source, video id, etc. It is not used in any way in video processing. For example, if an AI-task was created automatically when you uploaded a video with the AI auto-processing option (nudity detection, etc), then the ID of the associated video for which the task was performed will be explicitly indicated here. example: url: https://demo-files.gvideo.io/ai_demo_subtitles_nudity_detection.mp4 task_name: content-moderation category: nsfw securitySchemes: APIKey: description: >- API key for authentication. Make sure to include the word `apikey`, followed by a single space and then your token. Example: `apikey 1234$abcdef` type: apiKey in: header name: Authorization ````