Async API (Bulk Images)

API Description

Asynchronous bulk-image moderation API. Submit up to 12 images for the same user in a single request and receive a per-image acknowledgement immediately; full moderation results are delivered through your callback URL. The Image Moderation API detects risks such as political sensitivity, pornography, advertising, and terrorism in images, and can additionally identify faces, logos, animals, plants, and other content based on the business scenarios enabled on your account.

Requirements

Item	Specification
Protocol	HTTP or HTTPS
Method	POST
Encoding	UTF-8
Format	All request and response parameters use JSON

Image Requirements

Item	Specification
Image types	URL, BASE64
Supported formats	jpg, jpeg, png, webp, gif, tiff, tif, heif, heic, avif, apng, bmp, svg (static only)
Resolution	20×20 px to 6000×6000 px. Recommended minimum: 256×256 px
Size limit	Synchronous: ≤ 10 MB. Asynchronous: ≤ 30 MB

Frame extraction: Tall, scrolling images (long-form screenshots, product detail pages, comic-style posts) are submitted as a single frame by default. Contact DeepCleer to enable automatic splitting into multiple frames — note that this increases the number of billable moderation units per request. Animated images such as GIFs are always split into frames, according to the parameters you pass in the request.

ℹ️
Host images on a highly available CDN before submitting their URLs. DeepCleer fetches each image directly from the origin server you provide, so any outage or single point of failure on your side will cause fetch failures — and an image that can't be fetched can't be moderated.

Timeout Suggestion

Synchronous single image: recommended timeout of 10 seconds
Asynchronous single image: recommended timeout of 5 seconds

ℹ️
End-to-end response time is dominated by how long DeepCleer takes to fetch your image — keep your hosting fast and reliable. Fetch timeouts are 2 seconds to connect and 3 seconds to read, with one automatic retry on failure. Once the image is in hand, DeepCleer's own processing averages about 500 ms, with the exact figure varying by detection type and image size.

Callback Mechanism

A push is treated as successful when your server returns HTTP 200. On any other response, the system retries with backoff intervals of [1, 2, 3, 4, 5, 6, 7, 8] seconds. After 8 retries the result is dropped and no further attempts are made.

Request

Request URL

Cluster	Request URL
Silicon Valley	`http://api-img-gg.fengkongcloud.com/images/v4`
Singapore	`http://api-img-xjp.fengkongcloud.com/images/v4`

Request Parameters

Parameter	Type	Required	Max Length	Description
`accessKey`	string	Yes	20	API authentication key. The default `accessKey` is sent in your onboarding email.
`appId`	string	Yes	64	Application identifier, such as `web` for your web application or `app` for your mobile app. The default `appId` is sent in your onboarding email. Contact DeepCleer if you need a new `appId`.
`eventId`	string	Yes	64	Event identifier used to distinguish moderation scenarios in your application, such as `attachments` for user-uploaded prompts or `modelOutput` for LLM output. The default `eventId` is sent in your onboarding email. Contact DeepCleer if you need a new `eventId`.
`type`	string	Conditional	64	Risk detection types to run. Either `type` or `businessType` must be provided; you can also provide both. Multiple values can be combined with underscores (for example, `BAN_EROTIC`). See Detection Types for the full catalog.
`businessType`	string	Conditional	128	Business detection types to run — your organization's custom moderation categories, configured with DeepCleer separately from the built-in `type` catalog. Either `type` or `businessType` must be provided; you can also provide both. Multiple values can be combined with underscores. See the Business Label Reference for available values.
`callback`	string	Yes	1024	Callback URL to which the asynchronous, per-image moderation results will be pushed. Must be a valid HTTP or HTTPS URL.
`acceptLang`	string	No	—	Language of the labels and descriptions in the response. Defaults to `en`. Accepted values: `en` (English), `zh` (Chinese).
`data`	object	Yes	—	Request payload. See `data` Object Parameters below.

Detection Types

Value	Description
`POLITY`	Political content
`EROTIC`	Pornographic and sexually suggestive content
`VIOLENT`	Violence, terrorism, and other prohibited content
`QRCODE`	QR codes embedded in the image
`ADVERT`	Advertising imagery
`IMGTEXTRISK`	Risky text found inside the image itself (OCR-based — required if your images contain overlaid captions, memes, or screenshots of text)
`BOCR`	Multi-language OCR with automatic language detection

`data` Object Parameters

Parameter	Type	Required	Max Length	Description
`tokenId`	string	Yes	64	User account identifier. Strongly recommended — used for behavior-based risk profiling (spam, advertising, etc.). Pass the stable user ID from your system.
`imgs`	array	Yes	—	Images to be moderated, submitted as a list of image objects. Up to 12 entries per request. See `imgs` Array Item Parameters below.
`backupUrl`	string	No	1024	Fallback URL for the image. If DeepCleer cannot download `img` (timeout or DNS failure), it retries against this URL once.
`dataId`	string	No	128	Client-side identifier attached to the moderation call. DeepCleer echoes it back with the result, letting you correlate your source record (a post ID, message ID, review ID, etc.) with the moderation verdict — typically used to look up historical decisions in your own database or in the DeepCleer console.
`deviceId`	string	No	128	Device-fingerprint identifier issued by DeepCleer.
`gender`	int32	No	—	User's gender. `0`: male. `1`: female. `2`: unknown.
`interval`	int32	No	—	Frame-sampling stride for animated images. Defaults to `1`, which extracts every frame. With a value of N, DeepCleer keeps one frame out of every N. If the resulting frame count would exceed `maxFrame`, DeepCleer widens the stride automatically to `totalFrames / maxFrame` so the cap is always respected — meaning `maxFrame` acts as a hard ceiling and `interval` only controls sampling density when there's room under the cap.
`ip`	string	No	64	Public IP address of the user who submitted the image. Accepts IPv4 or IPv6.
`lang`	string	No	—	Language of the text embedded inside the image, used by the OCR-based text detectors. Defaults to `en`. Accepted values: `en` (English), `ar` (Arabic), `zh` (Chinese), `auto` (automatic language detection — requires `BOCR` in the `type` field).
`level`	int32	No	—	User level. See User Levels.
`maxFrame`	int32	No	—	Maximum number of frames to sample from animated images (GIF and similar). Up to `20`; defaults to `3`. Billing is based on the number of frames actually sampled.
`nickname`	string	No	150	The end user's display name, moderated alongside text. Up to 150 characters; longer values are truncated.
`receiveTokenId`	string	Conditional	64	`tokenId` of the message recipient in a one-to-one chat. Alphanumeric with underscores and hyphens, up to 64 characters. Required when `eventId` is `message`.
`extra`	object	No	—	Auxiliary parameters. See `extra` Object Parameters below.

`imgs` Array Item Parameters

Each element of imgs describes one image to be moderated, together with the per-image context needed by the detectors and the user-profiling layer.

Parameter	Type	Required	Max Length	Description
`btId`	string	Yes	30	Client-side unique identifier for this image. Echoed back in the per-image acknowledgement and per-image callback so you can correlate inputs and outputs.
`img`	string	Yes	1024	The image to moderate. Accepts either a publicly fetchable URL or a base64-encoded image payload.
`imgCompareBase`	string	Conditional	1024	Reference image used as the comparison target for face matching. Required when `businessType` includes `FACECOMPARE`. Accepts a publicly fetchable URL or a base64-encoded image payload. Supported formats: JPG/JPEG, PNG, WEBP, GIF, TIFF/TIF, HEIF. Image must be at least 256×256 px and no larger than 10 MB. Tall scrolling images and animated images are not accepted as the reference — pick a single, conventionally proportioned still frame showing the target face clearly.

User Levels

Value	Description
`0`	Lowest-level user (e.g., newly registered, completely inactive, or level-0 users)
`1`	Lower-level user (e.g., low activity or low-level users)
`2`	Mid-level user (e.g., moderately active or mid-level users)
`3`	Higher-level user (e.g., highly active or high-level users)
`4`	Highest-level user (e.g., paying users, VIP users)

`extra` Object Parameters

Parameter	Type	Required	Max Length	Description
`isTokenSeparate`	int32	No	—	Whether to scope account profiles per application. `0` (default): share across applications. `1`: keep account state independent per application — account-level strategies are computed and applied per app.
`room`	string	No	64	Live-room or game-room ID. Lets you configure room-specific strategies.
`passThrough`	object	No	1024	Client pass-through field. DeepCleer does not inspect or modify it; the same value is returned in the per-image callback as `auxInfo.passThrough`.

Response

Synchronous Response Parameters

The synchronous response is an acknowledgement only — it confirms receipt of the batch and returns a per-image requestId for each submitted image. The actual moderation results are delivered later to your callback URL.

Parameter	Type	Always Returned	Description
`code`	int32	Yes	Response code. See Response Codes.
`message`	string	Yes	Human-readable message corresponding to `code`.
`requestIds`	array	Yes	Per-image acknowledgements, one entry per submitted image. See `requestIds` Array Item below.

Response Codes

Code	Message
`1100`	Success
`1901`	QPS limit exceeded
`1902`	Invalid parameters
`1903`	Service failure
`1911`	Image download failure
`9101`	Unauthorized operation

`requestIds` Array Item

Parameter	Type	Always Returned	Description
`btId`	string	Yes	Client-side unique image identifier, echoed from the request.
`requestId`	string	Yes	Unique DeepCleer request identifier for this image. Strongly recommended to save for troubleshooting and optimization.

Callback Parameters

The callback delivers the full moderation results. By default, one aggregate callback is delivered per batch and contains the per-image results in the imgs array. Fields other than code, message, and requestId are guaranteed to be present only when code is 1100.

ℹ️
When the disposition mapping feature is enabled on your account, the delivery model switches from one aggregate callback per batch to one callback per image, and each callback carries the result for a single image rather than an imgs array.

Parameter	Type	Always Returned	Description
`requestId`	string	Yes	Unique DeepCleer request identifier for this batch. Strongly recommended to save for troubleshooting and optimization.
`code`	int32	Yes	Response code. See Response Codes.
`message`	string	Yes	Human-readable message corresponding to `code`.
`imgs`	array	Yes	Per-image moderation results, in the same order as the request. See `imgs` Array Item below.
`auxInfo`	object	No	Batch-level auxiliary information. See Callback `auxInfo` Object below.

`imgs` Array Item

Parameter	Type	Always Returned	Description
`btId`	string	Yes	Client-side unique image identifier, echoed from the request.
`requestId`	string	Yes	Unique DeepCleer request identifier for this image. Strongly recommended to save for troubleshooting and optimization.
`code`	int32	Yes	Per-image response code. See Response Codes.
`message`	string	Yes	Per-image response message.
`riskLevel`	string	Yes	Disposition recommendation. `PASS`: normal (allow). `REVIEW`: suspicious (manual review recommended). `REJECT`: violation (reject).
`riskLabel1`	string	Yes	Level-1 risk label. Returns `normal` when `riskLevel` is `PASS`.
`riskLabel2`	string	Yes	Level-2 risk label. Empty when `riskLevel` is `PASS`.
`riskLabel3`	string	Yes	Level-3 risk label. Empty when `riskLevel` is `PASS`.
`riskDescription`	string	Yes	Risk description. Returns `Normal` when `riskLevel` is `PASS`. Format: `"Level 1: Level 2: Level 3"`. Human-readable summary intended for display only — do not parse for programmatic logic; branch on `riskLabel1` / `riskLabel2` / `riskLabel3` instead.
`resultType`	int32	Yes	Source of this result. `0`: machine moderation. `1`: human moderation.
`finalResult`	int32	Yes	Whether this is the final result. `0`: not final (machine result, awaiting human review). `1`: final (safe to act on for disposition and distribution). Defaults to `1` when only machine moderation is configured.
`allLabels`	array	Yes	All risk labels detected on this image. See `allLabels` Array Item below.
`riskDetail`	object	Yes	Detail backing the top-level risk decision (positions, names, OCR text, matched lists, etc.). See `riskDetail` Object below.
`auxInfo`	object	Yes	Per-image auxiliary information. See `auxInfo` Object below.
`tokenLabels`	object	Conditional	Account label information. Returned only when `tokenId` is provided and the account-labeling service is enabled with DeepCleer. See `tokenLabels` Object below.
`businessLabels`	array	No	Business label results. See `businessLabels` Array Item below.
`disposal`	object	No	Custom disposition and label-mapping result. Returned only when a custom label system is configured — contact your account manager to enable. When enabled for the asynchronous bulk-image API, callback delivery switches from one aggregate callback to one callback per image.
`tokenProfileLabels`	array	Conditional	Account profile labels. Returned only when `tokenId` is provided and the labeling service is enabled. See `tokenProfileLabels` / `tokenRiskLabels` Array Item below.
`tokenRiskLabels`	array	Conditional	Account risk labels. Returned only when `tokenId` is provided and the labeling service is enabled. See `tokenProfileLabels` / `tokenRiskLabels` Array Item below.

`allLabels` Array Item

Parameter	Type	Always Returned	Description
`probability`	float	No	Confidence score in the range `0`–`1`. Higher values indicate greater confidence.
`riskDescription`	string	No	Risk description. Returns `Normal` when `riskLevel` is `PASS`. Format: `"Level 1: Level 2: Level 3"`. Display only — do not parse for programmatic logic.
`riskLabel1`	string	No	Level-1 risk label.
`riskLabel2`	string	No	Level-2 risk label.
`riskLabel3`	string	No	Level-3 risk label.
`riskLevel`	string	No	Disposition for this label: `PASS`, `REVIEW`, or `REJECT`.
`riskDetail`	object	No	Detail backing this label. Same structure as the top-level `riskDetail` Object.

`riskDetail` Object

Detail object backing a risk decision. Most fields are populated only when the corresponding detector contributes to the result.

Parameter	Type	Always Returned	Description
`riskSource`	int32	Yes	Where the risk was identified. `1000`: no risk. `1001`: text risk (text inside the image). `1002`: visual risk (image content).
`face_num`	int32	Conditional	Number of faces detected. Present when face-related detectors run.
`person_num`	int32	Conditional	Number of persons detected. Present when person-related detectors run.
`faces`	array	Conditional	Names and positions of politically sensitive individuals identified in the image. When the Face → Face Type → Multiple Faces label fires, the array contains multiple elements (up to 10, ranked by probability).
`objects`	array	Conditional	Detected objects and logos with names and positions in the image.
`ocrText`	object	Conditional	OCR-recognized text from the image. Present when `type` includes `IMGTEXTRISK` or `ADVERT`.
`matchedLists`	array	Conditional	Custom-list match information. Returned only when a custom keyword or image list is hit.
`riskSegments`	array	Conditional	High-risk text segments. Present when the image contains political, terrorism, prohibited, competitive, or advertising-law content.
`persons`	array	Conditional	Person names and positions. When the Person → Multiple Persons label fires, the array contains multiple elements (up to 10, ranked by probability).

`faces` Array Item

Parameter	Type	Always Returned	Description
`face_ratio`	float	No	Face area as a fraction of the image, in the range `0`–`1`. Higher values mean the face occupies more of the frame.
`id`	string	No	Face identifier. The same person at the same position carries the same `id` across different labels. If a person appears N times, N distinct ids are assigned.
`name`	string	No	Person name.
`probability`	float	No	Confidence score in the range `0`–`1`.
`location`	array	No	Bounding box `[x1, y1, x2, y2]` representing the top-left and bottom-right corners. Example: `[207, 522, 340, 567]` — `(207, 522)` is the top-left and `(340, 567)` is the bottom-right.

`objects` Array Item

Parameter	Type	Always Returned	Description
`id`	string	No	Object or logo identifier. The same object at the same position carries the same `id` across different labels.
`name`	string	No	Object name.
`probability`	float	No	Confidence score in the range `0`–`1`.
`qrContent`	string	No	URL decoded from a QR code in the image.
`location`	array	No	Bounding box `[x1, y1, x2, y2]` (top-left and bottom-right corners). Example: `[207, 522, 340, 567]`.

`ocrText` Object

Parameter	Type	Always Returned	Description
`text`	string	Yes	Text recognized in the image.

`matchedLists` Array Item

Parameter	Type	Always Returned	Description
`name`	string	No	Name of the matched custom list.
`words`	array	No	Sensitive-word details for the matches.

`words` Array Item

Parameter	Type	Always Returned	Description
`word`	string	No	The matched sensitive word.
`position`	array	No	Position of the sensitive word.

`riskSegments` Array Item

Parameter	Type	Always Returned	Description
`segment`	string	No	The high-risk content segment.
`position`	array	No	Position of the segment in the source text (0-indexed).

`persons` Array Item

Parameter	Type	Always Returned	Description
`id`	string	No	Person identifier. The same person carries the same `id` across different labels. If a person appears N times, N distinct ids are assigned.
`person_ratio`	float	No	Person area as a fraction of the image, in the range `0`–`1`. Higher values mean the person occupies more of the frame.
`probability`	float	No	Confidence score in the range `0`–`1`.
`location`	array	No	Bounding box of the person.

`auxInfo` Object

Per-image auxiliary information returned inside each imgs Array Item.

Parameter	Type	Always Returned	Description
`segments`	int32	Yes	Number of frames or segments actually processed (relevant for animated images).
`downloadTime`	integer	No	Image download time, in milliseconds.
`qrContent`	string	No	URL decoded from a QR code in the image.
`totalProcessTime`	integer	No	Total processing time for this image, in milliseconds.

`tokenLabels` Object

Returned only when tokenId is provided and the account-labeling service is enabled with DeepCleer.

Parameter	Type	Always Returned	Description
`UGC_account_risk`	object	No	UGC content risk for this account.
`machine_account_risk`	object	No	Automation / bot-control risk for this account.
`scene_account_risk`	object	No	Scene-specific account risk. Available only for vertical scenarios such as airline ticketing.

`UGC_account_risk` Object

Parameter	Type	Always Returned	Description
`b_advertise_risk_tokenid`	int32	No	Advertising risk. `0`: no risk detected. `1`: risk detected.
`b_advertise_risk_tokenid_last_ts`	int64	No	Timestamp at which the advertising risk was last observed. 13-digit Unix timestamp in milliseconds (UTC).
`b_politics_risk_tokenid`	int32	No	Political risk. `0`: no risk detected. `1`: risk detected.
`b_politics_risk_tokenid_last_ts`	int64	No	Timestamp at which the political risk was last observed. 13-digit Unix timestamp in milliseconds (UTC).
`b_sexy_risk_tokenid`	int32	No	Pornographic risk. `0`: no risk detected. `1`: risk detected.
`b_sexy_risk_tokenid_last_ts`	int64	No	Timestamp at which the pornographic risk was last observed. 13-digit Unix timestamp in milliseconds (UTC).

`machine_account_risk` Object

Parameter	Type	Always Returned	Description
`b_machine_control_tokenid`	int32	No	Machine-controlled account. `0`: not machine-controlled. `1`: machine-controlled.
`b_machine_control_tokenid_last_ts`	int64	No	Timestamp at which machine control was last observed. 13-digit Unix timestamp in milliseconds (UTC).
`b_offer_wall_tokenid`	int32	No	Offer-wall (incentivized signup) account. `0`: not an offer-wall account. `1`: offer-wall account.
`b_offer_wall_tokenid_last_ts`	int64	No	Timestamp at which the offer-wall behavior was last observed. 13-digit Unix timestamp in milliseconds (UTC).

`scene_account_risk` Object

Parameter	Type	Always Returned	Description
`i_tout_risk_tokenid`	int32	No	Airline seat-blocking risk — accounts that hold seat reservations to resell. `0`: not a seat-blocking account. `1`: seat-blocking account.
`i_tout_risk_tokenid_last_ts`	int64	No	Timestamp at which the seat-blocking behavior was last observed. 13-digit Unix timestamp in milliseconds (UTC).

`businessLabels` Array Item

Parameter	Type	Always Returned	Description
`businessDescription`	string	Yes	Business label description. Format: `"Level 1: Level 2: Level 3"`.
`businessLabel1`	string	Yes	Level-1 business label.
`businessLabel2`	string	Yes	Level-2 business label.
`businessLabel3`	string	Yes	Level-3 business label.
`probability`	float	Yes	Confidence score in the range `0`–`1`.
`confidenceLevel`	int32	No	Coarse confidence bucket in the range `0`–`2`. Higher values indicate greater confidence.
`businessDetail`	object	No	Detail backing the business label. See `businessDetail` Object below.

`businessDetail` Object

Parameter	Type	Always Returned	Description
`face_compare_num`	int32	No	Number of faces detected in the `imgCompareBase` image. Present when `businessType` includes `FACECOMPARE` and `imgCompareBase` is supplied.
`face_num`	int32	No	Number of faces detected in the moderated image.
`face_ratio`	float	No	Face area as a fraction of the image, in the range `0`–`1`.
`name`	string	No	Person name.
`person_num`	int32	No	Number of persons detected.
`person_ratio`	float	No	Person area as a fraction of the image, in the range `0`–`1`.
`probability`	float	No	Confidence score in the range `0`–`1`.
`faces`	array	No	Face information. Same structure as the `faces` array in `riskDetail`.
`location`	array	No	Bounding box `[x1, y1, x2, y2]` (top-left and bottom-right corners).
`objects`	array	No	Object information. Same structure as the `objects` array in `riskDetail`.
`persons`	array	No	Person information. Same structure as the `persons` array in `riskDetail`.

`disposal` Object

Parameter	Type	Always Returned	Description
`riskDescription`	string	Yes	Mapped risk description. Returns `Normal` when `riskLevel` is `PASS`.
`riskLabel1`	string	Yes	Mapped Level-1 risk label. Returns `normal` when the DeepCleer label has no custom mapping or when `riskLevel` under `disposal` is `PASS`.
`riskLabel2`	string	Yes	Mapped Level-2 risk label. Empty when the DeepCleer label has no custom mapping or when `riskLevel` under `disposal` is `PASS`.
`riskLabel3`	string	Yes	Mapped Level-3 risk label. Empty when the DeepCleer label has no custom mapping or when `riskLevel` under `disposal` is `PASS`.
`riskLevel`	string	Yes	Mapped disposition recommendation. When the underlying label has no custom mapping, the default disposition is returned.
`riskDetail`	object	Yes	Mapped risk detail. Same structure as the top-level `riskDetail` Object.

`tokenProfileLabels` / `tokenRiskLabels` Array Item

Parameter	Type	Always Returned	Description
`description`	string	No	Human-readable label description.
`label1`	string	No	Level-1 label.
`label2`	string	No	Level-2 label.
`label3`	string	No	Level-3 label.
`timestamp`	int64	No	When the label was assigned. 13-digit Unix timestamp in milliseconds (UTC).

Callback `auxInfo` Object

Batch-level auxiliary information attached to the top-level callback envelope.

Parameter	Type	Always Returned	Description
`passThrough`	object	No	Client pass-through field, returned as-is. Mirrors `data.imgs[].extra.passThrough` from the corresponding request — DeepCleer never modifies it.

Examples

Request Example

{
    "accessKey": "xxxxxx",
    "appId": "default",
    "callback": "http://callback.xxx",
    "data": {
        "imgs": [
            {
                "btId": "123",
                "img": "xxxx"
            },
            {
                "btId": "456",
                "img": "xxxx"
            }
        ],
        "tokenId": "username123"
    },
    "eventId": "xxxxx",
    "type": "xxxx"
}

Response Example

{
    "code": 1100,
    "message": "Success",
    "requestIds": [
        {
            "btId": "123",
            "requestId": "faf10b672ddae5e5e51ea719c44ca94b"
        },
        {
            "btId": "456",
            "requestId": "faf10b672ddae5e5e51ea719c44ca94b"
        }
    ]
}

Callback Example

{
    "auxInfo": {},
    "code": 1100,
    "imgs": [
        {
            "allLabels": [
                {
                    "probability": 0.922851562500734,
                    "riskDescription": "Terrorism:Terrorism Scene:Bloody",
                    "riskDetail": {
                        "ocrText": {
                            "text": "Cervical curvature: Normal thoracic curvature"
                        },
                        "riskSource": 1002
                    },
                    "riskLabel1": "violence",
                    "riskLabel2": "baokongchangjing",
                    "riskLabel3": "xuexing",
                    "riskLevel": "REJECT"
                }
            ],
            "auxInfo": {
                "segments": 1,
                "typeVersion": {
                    "BAN": "1002106.1",
                    "MINOR": "2014055.1",
                    "OCR": "2001038.1",
                    "POLITICS": "2014055.1",
                    "PORN": "3058001.1",
                    "VIOLENCE": "2013019.1"
                }
            },
            "businessLabels": [
                {
                    "businessDescription": "Face:Gender:Male",
                    "businessDetail": {
                        "face_ratio": 0.00106996833346784,
                        "faces": [
                            {
                                "face_ratio": 0.00106996833346784,
                                "id": "35da33429897372017bb7ad7c7302693",
                                "location": [228, 588, 256, 622],
                                "name": "",
                                "probability": 0.967536687850952
                            }
                        ],
                        "location": [228, 588, 256, 622],
                        "name": "",
                        "probability": 0.967536687850952
                    },
                    "businessLabel1": "face",
                    "businessLabel2": "gender",
                    "businessLabel3": "male",
                    "confidenceLevel": 2,
                    "probability": 0.967536687850952
                },
                {
                    "businessDescription": "Face:Face Type:Real Person",
                    "businessDetail": {
                        "face_num": 1,
                        "face_ratio": 0.00106996833346784,
                        "faces": [
                            {
                                "face_ratio": 0.00106996833346784,
                                "id": "35da33429897372017bb7ad7c7302693",
                                "location": [228, 588, 256, 622],
                                "name": "Huang Daqian",
                                "probability": 0.541935835649002
                            }
                        ],
                        "location": [228, 588, 256, 622],
                        "name": "Huang Daqian",
                        "probability": 0.541935835649002
                    },
                    "businessLabel1": "face",
                    "businessLabel2": "renlianleixing",
                    "businessLabel3": "zhenren",
                    "confidenceLevel": 2,
                    "probability": 0.996093758527634
                },
                {
                    "businessDescription": "Face:Face Pose:Frontal Face",
                    "businessDetail": {},
                    "businessLabel1": "face",
                    "businessLabel2": "renlianzitai",
                    "businessLabel3": "zhenglian",
                    "confidenceLevel": 1,
                    "probability": 0.450656906102068
                }
            ],
            "code": 1100,
            "finalResult": 1,
            "message": "Success",
            "requestId": "faf10b672ddae5e5e51ea719c44ca94b_123",
            "resultType": 0,
            "riskDescription": "Terrorism:Terrorism Scene:Bloody",
            "riskDetail": {
                "ocrText": {
                    "text": "Cervical curvature: Normal thoracic curvature"
                },
                "riskSource": 1002
            },
            "riskLabel1": "violence",
            "riskLabel2": "baokongchangjing",
            "riskLabel3": "xuexing",
            "riskLevel": "REJECT",
            "riskSource": 1002,
            "tokenLabels": {
                "UGC_account_risk": {}
            }
        },
        {
            "allLabels": [],
            "auxInfo": {
                "segments": 1,
                "typeVersion": {
                    "OCR": "2001003.1",
                    "PORN": "3043001.1"
                }
            },
            "btId": "456",
            "code": 1100,
            "message": "Success",
            "requestId": "faf10b672ddae5e5e51ea719c44ca94b_456",
            "riskDescription": "Normal",
            "riskDetail": {
                "riskSource": 1000
            },
            "riskLabel1": "normal",
            "riskLabel2": "",
            "riskLabel3": "",
            "riskLevel": "PASS",
            "tokenLabels": {
                "UGC_account_risk": {}
            }
        }
    ],
    "message": "Success",
    "requestId": "faf10b672ddae5e5e51ea719c44ca94b"
}

API Description

Requirements

Image Requirements

Timeout Suggestion

Callback Mechanism

Request

Request URL

Request Parameters

Detection Types

data Object Parameters

imgs Array Item Parameters

User Levels

extra Object Parameters

Response

Synchronous Response Parameters

Response Codes

requestIds Array Item

Callback Parameters

imgs Array Item

allLabels Array Item

riskDetail Object

faces Array Item

objects Array Item

ocrText Object

matchedLists Array Item

words Array Item

riskSegments Array Item

persons Array Item

auxInfo Object

tokenLabels Object

UGC_account_risk Object

machine_account_risk Object

scene_account_risk Object

businessLabels Array Item

businessDetail Object

disposal Object

tokenProfileLabels / tokenRiskLabels Array Item

Callback auxInfo Object

Examples

Request Example

Response Example

Callback Example

`data` Object Parameters

`imgs` Array Item Parameters

`extra` Object Parameters

`requestIds` Array Item

`imgs` Array Item

`allLabels` Array Item

`riskDetail` Object

`faces` Array Item

`objects` Array Item

`ocrText` Object

`matchedLists` Array Item

`words` Array Item

`riskSegments` Array Item

`persons` Array Item

`auxInfo` Object

`tokenLabels` Object

`UGC_account_risk` Object

`machine_account_risk` Object

`scene_account_risk` Object

`businessLabels` Array Item

`businessDetail` Object

`disposal` Object

`tokenProfileLabels` / `tokenRiskLabels` Array Item

Callback `auxInfo` Object