Top Malicious Text Analysis API alternatives in 2025

As we move into 2025, the demand for effective text analysis APIs continues to grow, especially in the realm of malicious text detection. Developers and organizations are increasingly seeking alternatives to traditional APIs that can provide robust solutions for identifying harmful content. In this blog post, we will explore some of the top alternatives to the AI Text Detector API, detailing their features, capabilities, pricing, pros and cons, ideal use cases, and how they differ from existing APIs.

1. AI Text Detector API

The AI Text Detector API is a powerful tool that leverages machine learning algorithms to analyze and detect whether a given text was generated by an AI model or a human. This API is particularly valuable in contexts such as detecting fake news, identifying chatbots, and improving the quality of machine-generated text.

One of the key features of the AI Text Detector API is its ability to provide a probability score indicating the likelihood that the text was generated by AI. Users can input text and receive a confidence score, predicted class, and probabilities for different authorship types. This feature is crucial for applications like content moderation, fraud detection, and plagiarism checks.

For example, when using the "Get Probability" feature, users can analyze text by simply inserting it into the API. The response includes fields such as "confidence," "language," "predicted_class," and "probabilities," which provide insights into the authorship of the text.

{"confidence":"low","language":"en","predicted_class":"human","probabilities":{"ai":0.384,"human":0.613,"mixed":0.001}}

Overall, the AI Text Detector API is ideal for organizations looking to ensure content originality and combat misinformation.

2. Offensive Text Detection API

The Offensive Text Detection API is designed to safeguard digital spaces by identifying and removing offensive content. This API plays a critical role in content moderation, automatically analyzing and categorizing text to determine if it contains inappropriate language.

One of its standout features is the "Detect Offensive Text" capability, which allows users to specify a word or text for analysis. The API returns a list of offensive words or phrases found in the submitted text, enabling users to understand what content needs moderation.

["Offensive text"]

This API is particularly useful for moderating social media posts, filtering chat messages in real-time, and automating comment moderation on blogs and forums. Its ability to maintain a respectful online environment makes it an essential tool for any platform that values user safety.

3. Chat GPT Text Detection API

The Chat GPT Text Detection API is a specialized tool that analyzes text to determine whether it was generated by ChatGPT or similar language models. This API is particularly useful for content filtering and detecting fake news.

Its primary feature, "Text Analysis," requires users to input text for analysis. The API then provides a response indicating whether the text is AI-generated, along with a percentage score that reflects the extent of AI influence.

{"success":true,"data":{"ai":false,"percentage":0,"stats":{"totalWords":46,"aiWords":0,"humanWords":46}}}

This API is ideal for applications that require accurate text analysis, such as plagiarism detection and ensuring originality in educational contexts.

4. Inappropriate Text Detection API

The Inappropriate Text Detection API utilizes machine learning algorithms to identify and flag potentially offensive or inappropriate content. This API is crucial for maintaining safe online communication by accurately detecting profanity, hate speech, and other harmful content.

Its main feature, the "Detector," allows users to pass any plain text to be examined for profanity. Users can also specify the sensitivity level of the detection, making it adaptable to various contexts.

{"profanities":[],"profanity_count":0,"result":"success"}

This API is particularly useful for monitoring social media posts, filtering in-game chat, and ensuring respectful customer interactions.

5. Opinion Analysis API

The Opinion Analysis API goes beyond traditional sentiment analysis by determining if a social post is a promoter, detractor, or indifferent suggestion. This API helps organizations understand consumer sentiment and strengthen emotional connections with their audience.

Its key feature, the "Analyzer," detects the sentiment of the text and categorizes it into three labels: Promote, Detract, or Indifferent. Users can input an array of text items for analysis, allowing for comprehensive sentiment insights.

[{"id":"1","predictions":[{"probability":1.0,"prediction":"Promote"}]}]

This API is ideal for monitoring brand reputation and improving marketing strategies based on consumer feedback.

6. Multilingual Sentiment Analysis API

The Multilingual Sentiment Analysis API is an AI-based tool that detects sentiment in over 50 languages. This API provides sentiment predictions, categorizing text as positive, negative, or neutral.

Its main feature, the "Analyzer," allows users to pass text for sentiment analysis and receive a sentiment score along with a confidence level. This capability is essential for businesses looking to understand customer feedback across diverse languages.

{"results":[{"text":"This sentiment analyzer is amazing.","label":"positive","confidence":"0.99"}]}

This API is particularly useful for analyzing customer feedback on products and monitoring social media sentiment.

7. Toxic Text Detector API

The Toxic Text Detector API is designed to detect toxic, profane, and offensive language in user-generated content. This API leverages advanced natural language processing techniques to identify harmful comments and posts.

Its primary feature, "Toxic Detection," allows users to input text for analysis, returning a response that indicates whether the text contains toxic language.

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

This API is ideal for moderating comments on social media and ensuring appropriate language in gaming chats.

8. Text Moderation in Images API

The Text Moderation in Images API analyzes images to detect inappropriate text. This API is essential for platforms that need to filter unwelcome content in images.

Its key features include "Gore Detection," "Nudity Detection," and "WAD Detection," allowing users to analyze images for offensive text and content.

{"status":"success","text":{"profanity":[{"type":"inappropriate","match":"shit","intensity":"high"}]}}

This API is particularly useful for maintaining a safe online environment by preventing the sharing of inappropriate images.

9. Spam Checker in Text API

The Spam Checker in Text API is designed to detect and filter spam content in textual data. This API is invaluable for applications requiring robust content moderation.

Its main feature, "Check Spam," allows users to input text and receive a spam score, helping to identify potential spam messages.

{"text":"Your account has been compromised. Click here to reset your password.","spam_score":0.85}

This API is ideal for maintaining a secure communication environment within applications and platforms.

Conclusion

As we look ahead to 2025, the landscape of malicious text analysis APIs is evolving rapidly. Each of the APIs discussed offers unique features and capabilities that cater to different needs. For organizations focused on content moderation, the Offensive Text Detection API and the Inappropriate Text Detection API are excellent choices. For those interested in sentiment analysis, the Opinion Analysis API and the Multilingual Sentiment Analysis API provide valuable insights. Ultimately, the best alternative will depend on your specific use case and requirements. By leveraging these advanced APIs, developers can enhance their applications and create safer, more respectful online environments.