The DeepfakeDetectIntl and DeepfakeDetectIntlStream API operations analyze face images or videos to identify risks such as AI-generated faces, deepfake face swaps, template attacks, and presentation attacks. These operations return risk tags and confidence scores.
API information
The deepfake detection service analyzes face images or videos to identify potential deepfake risks. The service provides the following two API operations to support different data submission methods:
DeepfakeDetectIntlStream
This operation uploads image or video data directly as a file stream and is designed for processing local files.
Request method: HTTPS POST
This API operation has a dedicated QPS limit. For more information, see QPS limits for ID Verification server-side API operations.
Endpoints:
NoteBenefits of internal network access: An internal network is a private communication network between Alibaba Cloud products within the same region. If your business server is deployed in the corresponding Alibaba Cloud region, you can use the internal same-region endpoint to access the ID Verification service. This provides more secure and stable communication.
Optimization suggestions for access from outside China: Network environments outside China can be complex. To optimize your integration solution, reduce network latency, and minimize request failures, see Server-side network latency analysis and optimization.
Singapore
Public network:
cloudauth-intl.ap-southeast-1.aliyuncs.comInternal network:
cloudauth-intl-vpc.ap-southeast-1.aliyuncs.com
DeepfakeDetectIntl
This operation submits image or video data using a public URL or a Base64-encoded string.
Request method: HTTPS POST
This API operation has a dedicated QPS limit. For more information, see QPS limits for ID Verification server-side API operations.
Endpoints:
NoteBenefits of internal network access: An internal network is a private communication network between Alibaba Cloud products within the same region. If your business server is deployed in the corresponding Alibaba Cloud region, you can use the internal same-region endpoint to access the ID Verification service. This provides more secure and stable communication.
Optimization suggestions for access from outside China: Network environments outside China can be complex. To optimize your integration solution, reduce network latency, and minimize request failures, see Server-side network latency analysis and optimization.
Singapore
Public network:
cloudauth-intl.ap-southeast-1.aliyuncs.comInternal network:
cloudauth-intl-vpc.ap-southeast-1.aliyuncs.com
Online debugging and integration
Before you debug and integrate an API operation, see Debug and integrate server-side API operations using OpenAPI Explorer for information about how to call API operations and obtain SDKs and sample code in OpenAPI Explorer.
DeepfakeDetectIntlStream: You can run this API operation in OpenAPI Explorer to debug it and generate SDK sample code.
DeepfakeDetectIntl: You can run this API operation in OpenAPI Explorer to debug it and generate SDK sample code.
Image and video requirements
The following requirements for images and videos apply to both the DeepfakeDetectIntlStream and DeepfakeDetectIntl API operations.
The deepfake detection algorithm analyzes data from multiple dimensions, such as business, device, and behavior. This algorithm is ideal for scenarios where you use a face detection SDK and want to enhance the detection of forged faces. To ensure stable model performance, submit images or videos of a face captured by a front-facing camera at a normal angle. The images and videos must also meet the following requirements:
Images
Image format: JPG, JPEG.
Image size: 50 KB to 100 KB is recommended. The maximum size is 10 MB. For images larger than 1 MB, you can upload them using a URL.
Image resolution: The recommended resolution is 640 × 480 pixels (height × width). The maximum resolution is 1920 × 1080 pixels (height × width). The height must be greater than the width. You can scale the shorter side to 720 pixels and use a compression ratio of 0.8.
Image quality: The image must be clear and have normal exposure. The face must not be too dark, too bright, or have halos.
Faces in image: If an image contains multiple faces, the system detects the largest face by default.
Videos
Video format: MP4, MOV.
Video size: The video must be larger than 100 KB. The maximum size is 10 MB. For videos larger than 1 MB, you can upload them using a URL.
Video length: 1 to 3 seconds.
Video resolution: The recommended resolution is 640 × 480 pixels (height × width).
Video frame rate: 8 frames per second (fps) or higher.
For videos, the service extracts 8 frames by default for model processing. This default behavior is for performance reasons related to the Qwen Large Language Model (LLM). To ensure detection accuracy, do not submit invalid videos.
Request parameters
Name | Type | Required | Description | Example |
ProductCode | string | Yes | The product to integrate. Set the value to FACE_DEEPFAKE. | FACE_DEEPFAKE |
SceneCode | string | Yes | A custom authentication scenario ID. You can use this ID to query related records in the console. The ID must be a 10-character string that contains letters, digits, and underscores (_). | 1234567890 |
MerchantBizId | string | Yes | A unique identifier for the merchant request. It must be a 32-character alphanumeric string. The first few characters are a custom abbreviation for the merchant. The middle part can contain a time period. The last part can be a random or an incremental sequence. | e0c34a77f5ac40a5aa5e6ed20c****** |
FaceInputType | string | No | The input type of the face material:
| IMAGE |
FaceUrl | string | No
| Enter the URL of a face image or video. | https://cn-shanghai-aliyun-cloudauth-xxxxxx.oss-cn-shanghai.aliyuncs.com/verify/xxxxx/xxxxx.jpeg |
FaceBase64 | string | The Base64-encoded face image. For videos, upload them using a URL. | /9j/4AAQSkZJRgABAQAASxxxxxxx | |
FaceFile | string | The file stream of the face image or video. |
Response parameters
Name | Type | Description | Example | |
RequestId | String | The request ID. | 8FC3D6AC-9FED-4311-8DA7-C4BF47D9**** | |
Code | String | Success | ||
Message | String | The detailed description of the response code. | success | |
ResultObject | Result | String | The risk result:
| 1 |
RiskTag | String | The risk tag. Multiple tags are separated by commas (
| SuspectDeepForgery | |
RiskScore | Map | A map of risk scores. The corresponding tag is returned when a risk is detected. | | |
Return codes
HTTP Status Code | Code | Description |
200 | Success | The request was successful. |
400 | MissingParameter | A parameter cannot be empty. |
400 | InvalidParameter | The parameter is invalid. |
401 | NoFaceDetected | Feature extraction failed for the face in the custom source image. Upload a different image. |
401 | UnqualifiedPhoto | The uploaded image is unreadable or its resolution does not meet the requirements. Replace the image. Make sure that the photo is clear, properly exposed, complete, and unobscured, and that the subject's head has no significant tilt. |
401 | ToolargeImage | The image is too large. Compress the image or use a different upload method. |
401 | DataDuplication | You passed both SourceFacePicture and SourceFacePictureUrl, or you passed both TargetFacePicture and TargetFacePictureUrl. |
401 | DownloadTimeout | The image download from the URL timed out. |
403 | Forbidden.RAMUserAccessDenied | Grant the AliyunAntCloudAuthFullAccess permission to the Resource Access Management (RAM) user. For more information, see Grant a RAM user permissions to access the service. |
403 | Forbidden.AccountAccessDenied | Make sure that you have activated ID Verification and that your account does not have an overdue payment. |
403 | Throttling.Api | The API call is blocked by throttling. |
500 | InternalError | An internal system error occurred. Contact technical support. |