DetectToxicContent - Amazon Comprehend API Reference


Performs toxicity analysis on the list of text strings that you provide as input. The API response contains a results list that matches the size of the input list. For more information about toxicity detection, see Toxicity detection in the Amazon Comprehend Developer Guide.

Request Syntax

{ "LanguageCode": "string", "TextSegments": [ { "Text": "string" } ] }

Request Parameters

For information about the parameters that are common to all actions, see Common Parameters.

The request accepts the following data in JSON format.


The language of the input text. Currently, English is the only supported language.

Type: String

Valid Values: en

Required: Yes


A list of up to 10 text strings. Each string has a maximum size of 1 KB, and the maximum size of the list is 10 KB.

Type: Array of TextSegment objects

Array Members: Minimum number of 1 item.

Required: Yes

Response Syntax

{ "ResultList": [ { "Labels": [ { "Name": "string", "Score": number } ], "Toxicity": number } ] }

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.


Results of the content moderation analysis. Each entry in the results list contains a list of toxic content types identified in the text, along with a confidence score for each content type. The results list also includes a toxicity score for each entry in the results list.

Type: Array of ToxicLabels objects


For information about the errors that are common to all actions, see Common Errors.


An internal server error occurred. Retry your request.

HTTP Status Code: 500


The request is invalid.

HTTP Status Code: 400


The size of the input text exceeds the limit. Use a smaller document.

HTTP Status Code: 400


Amazon Comprehend can't process the language of the input text. For a list of supported languages, Supported languages in the Comprehend Developer Guide.

HTTP Status Code: 400

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: