Top Username Toxicity Detection API alternatives in 2025

Top Username Toxicity Detection API Alternatives in 2025

As online communities continue to grow, the need for effective moderation tools becomes increasingly important. Toxicity detection APIs play a crucial role in maintaining a safe and respectful environment by identifying and filtering out harmful content. In this blog post, we will explore some of the best alternatives to the Toxicity Detection API, highlighting their features, capabilities, and ideal use cases for developers looking to enhance their platforms in 2025.

Toxic Text Detector API

The 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

One of the primary features of the Toxic Text Detector API is its 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}

In this response, the 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

While both APIs serve the purpose of detecting toxic language, the Toxic Text Detector API excels in its multilingual capabilities, making it suitable for platforms with diverse user bases. However, it may not offer the same depth of analysis as the Toxicity Detection API, which can identify a broader range of toxic content types.

Ideal Use Cases

This API is ideal for moderating comments on social media, filtering user-generated content in forums, and ensuring appropriate language in gaming chats. Its ability to analyze multiple languages makes it particularly valuable for global platforms.

How It Differs from Toxicity Detection API

The Toxic Text Detector API focuses primarily on identifying profane language, while the Toxicity Detection API provides a more comprehensive analysis of various toxicity types, including severe toxicities and identity hate.

Want to use Toxic Text Detector API in production? Visit the developer docs for complete API reference.

Insult Detection API

The 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

The core feature of the Insult Detection API is its 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}

This response includes various toxicity scores, indicating the likelihood of the text being toxic, indecent, or offensive. Each score can guide moderation actions, allowing developers to take appropriate measures based on the content's toxicity level.

Pros and Cons Compared to Toxicity Detection API

The Insult Detection API is particularly effective at identifying insults and offensive language, making it a great choice for platforms focused on maintaining respectful communication. However, it may not cover as wide a range of toxic content types as the Toxicity Detection API.

Ideal Use Cases

This API is well-suited for moderating comments on social media, filtering messages in chat applications, and ensuring respectful communication in online forums and educational platforms.

How It Differs from Toxicity Detection API

While both APIs aim to detect harmful content, the Insult Detection API specializes in identifying insults and offensive language, whereas the Toxicity Detection API provides a broader analysis of various toxicity types.

Ready to test Insult Detection API? Try the API playground to experiment with requests.

Username Moderation API

The 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

The primary feature of the Username Moderation API is its 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"]}}}}

The response indicates whether the username is toxic, with the toxic field set to 1 (true) and provides details about the specific categories of toxicity detected.

Pros and Cons Compared to Toxicity Detection API

The Username Moderation API is specifically tailored for username analysis, making it highly effective for platforms that require strict username moderation. However, it may not provide the same level of content analysis as the Toxicity Detection API.

Ideal Use Cases

This API is ideal for moderating usernames during account creation, maintaining a toxic-free community, and analyzing existing usernames for compliance with community standards.

How It Differs from Toxicity Detection API

While the Toxicity Detection API focuses on analyzing user-generated content, the Username Moderation API is specifically designed for username analysis, providing targeted insights into potential toxicity in usernames.

Want to use Username Moderation API in production? Visit the developer docs for complete API reference.

Comment Safe API

The 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

The main feature of the Comment Safe API is its 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"]}

This response provides detailed metrics on various types of harmful content, allowing developers to understand the toxicity levels of the input text and take appropriate moderation actions.

Pros and Cons Compared to Toxicity Detection API

The Comment Safe API excels in its ability to analyze comments in multiple languages, making it suitable for diverse platforms. However, it may not offer the same depth of analysis as the Toxicity Detection API, which can identify a broader range of toxicity types.

Ideal Use Cases

This API is ideal for monitoring and moderating comments on social media, forums, and other platforms where user-generated content is prevalent. Its multilingual capabilities enhance its applicability across global platforms.

How It Differs from Toxicity Detection API

While both APIs aim to detect harmful content, the Comment Safe API focuses specifically on comment analysis, whereas the Toxicity Detection API provides a more comprehensive analysis of various toxicity types across different content formats.

Ready to test Comment Safe API? Try the API playground to experiment with requests.

Conclusion

In conclusion, the landscape of toxicity detection APIs is evolving, with several robust alternatives to the 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.