The Offensive Commentary Blocker API serves as a language protector for content moderation, automatically detecting and filtering out offensive language in textual content.

The Offensive Speech Filter API acts as a linguistic guardian for content moderation, automating the identification and filtration of offensive language within textual content.

Expletive Filter API: A linguistic gatekeeper for content moderation, automating the detection and filtration of offensive language in textual content.

The Text Moderation Analysis API swiftly analyzes and filters text for appropriateness, ensuring safe, compliant, and inclusive content across platforms.

It utilizes artificial intelligence to identify and manage offensive language in user comments, fostering digital etiquette and enhancing online safety.

Community Standards Enforcer API enforces content standards, offering real-time, scalable moderation for online platforms, ensuring a safe and inclusive digital environment.

Polish Text Moderation API ML-powered content moderation solution with 3 specialized endpoints: sentiment analysis for product reviews, multi-class message moderation and hate speech recognition. Native Polish language support with JSON responses including confidence scores and probability distributions. Fast (<500ms), privacy-focused (no data storage), and RESTful with full OpenAPI 3.1 documentation. Perfect for e-commerce, forums, and social platforms targeting Polish audiences.

With Censorship API Filter and censor profanity effortlessly. Ensure clean content by blocking and replacing offensive language.

Access and analyze media censorship with the Retrieve Text Media Censorship API for meaningful insights.

Ensure safe communication with our Text Content Censorship Fetch API to automatically filter sensitive material.

Capture and monitor text censorship trends effortlessly with the Text Censorship Data Capture API to inform your strategies.

Quickly identify and extract harmful text with the Extract Text Content Censorship API, ensuring a safer environment.

Extract Inappropriate Language API swiftly analyzes text to spot unsuitable language, promoting a positive community environment.

Protect your platform with Bad Words Removed API, efficiently moderating user-generated content.

The AI Content Moderator API is a powerful tool for machine-assisted moderation of multilingual text. Utilizing Microsoft Azure Cognitive Services, this API detects potentially offensive or unwanted content, including profanity, in over 100 languages. It has a maximum text length limit of 1024 characters, and any content exceeding this limit will result in an error code being returned.

Analyzes texts and detects offensive language, indicating whether it contains profanity, severity level, risk score, category, and identified dialect.

Toxic Text Detector API for user-generated content is a machine learning tool designed to detect the toxic, profane, and offensive language in user-generated content

The Language Policing API analyzes text, identifying and mitigating inappropriate content to ensure a safer online environment for users and compliance with guidelines.

Seamlessly access a wide range of toxicity-focused media, facilitating informed decisions and research.

"Text Offensiveness Detector API: Safeguard digital spaces by swiftly detecting and filtering offensive content, ensuring respectful and inclusive communication."

Comment Cleanse API: Protect online communities with advanced machine learning.

The Spam Checker in Text API is a powerful tool designed to detect and filter spam content in textual data. By analyzing the input text, it swiftly identifies and flags potential spam, ensuring a clean and safe communication environment. This API is invaluable for applications requiring robust content moderation and user protection against unsolicited or harmful messages.

The Text Content Censoring API efficiently removes offensive language, ensuring safe and respectful communication.

AI-powered content moderation API that detects toxic, offensive, hateful, and inappropriate text. Returns safety scores and category classifications for user-generated content filtering.

Measure the health of digital conversations effectively, fostering positive engagement and responsible interactions.