Top Username Toxicity Detection API alternatives in 2025

Top Username Toxicity Detection API Alternatives in 2025

Toxicity Detection API, highlighting their features, capabilities, and ideal use cases for developers looking to enhance their platforms in 2025.

Toxic Text Detector API

Toxic Text Detector API is a machine learning tool designed to detect toxic, profane, and offensive language in user-generated content. This API leverages advanced natural language processing techniques to accurately identify and score harmful comments, posts, and messages.

Key Features and Capabilities

Toxic Detection capability. To use this feature, developers must input a text string into the API. The API then analyzes the text and returns a response indicating whether the content contains toxic language.

{"original": "damn it", "censored": "**** it", "has_profanity": true}

original field shows the input text, while the censored field provides a version of the text with profanities replaced by asterisks. The has_profanity boolean indicates whether the original text contained any offensive language.

Pros and Cons Compared to Toxicity Detection API

Ideal Use Cases

How It Differs from Toxicity Detection API

Visit the developer docs for complete API reference.

Insult Detection API

Insult Detection API is a powerful tool that identifies offensive language and insults in text, promoting respectful communication in online platforms. This API utilizes machine learning models to analyze and classify text, making it a valuable asset for content moderation.

Key Features and Capabilities

Toxicity Detection capability. To utilize this feature, developers must provide a word or text string for analysis.

{"toxic":0.78711975,"indecent":0.9892319,"threat":0.0083886795,"offensive":0.37052566,"erotic":0.14190358,"spam":0.08707619}

Pros and Cons Compared to Toxicity Detection API

Ideal Use Cases

How It Differs from Toxicity Detection API

Try the API playground to experiment with requests.

Username Moderation API

Username Moderation API is designed to detect offensive or sexual usernames on your platform quickly and efficiently. This API employs a neuro-symbolic approach to analyze usernames, identifying hidden meanings and categorizing subversive language.

Key Features and Capabilities

Username Analysis capability. This feature returns a linguistic analysis of a given username regarding toxicity.

{"username": "j4ckass68", "result": {"toxic": 1, "details": {"en": {"exact": 1, "categories": ["offensive"]}}}}

toxic field set to 1 (true) and provides details about the specific categories of toxicity detected.

Pros and Cons Compared to Toxicity Detection API

Ideal Use Cases

How It Differs from Toxicity Detection API

Visit the developer docs for complete API reference.

Comment Safe API

Comment Safe API is an advanced artificial intelligence tool designed to analyze and identify toxic, profane, or hateful content in user comments or text posts. This API allows developers to create safer online environments by automatically detecting and flagging potentially harmful language.

Key Features and Capabilities

Toxicity Analysis capability. To use this feature, developers must insert the text they want to analyze along with the language parameter.

{"attributes":{"TOXICITY":0.584095,"INSULT":0.16861114,"THREAT":0.009722093,"SEVERE_TOXICITY":0.032316983,"IDENTITY_ATTACK":0.012943448,"PROFANITY":0.65961236},"languages":["en"],"detectedLanguages":["en"]}

Pros and Cons Compared to Toxicity Detection API

Ideal Use Cases

How It Differs from Toxicity Detection API

Try the API playground to experiment with requests.

Conclusion

Toxicity Detection API available in 2025. Each API discussed offers unique features and capabilities tailored to different use cases. The Toxic Text Detector API is ideal for multilingual platforms, while the Insult Detection API excels in identifying offensive language. For username moderation, the Username Moderation API provides targeted insights, and the Comment Safe API is perfect for analyzing user comments across various languages. Depending on your specific needs, one of these alternatives may serve as the best fit for your platform's toxicity detection requirements.