In the age of digital communication, where text-based interactions shape our online interactions, maintaining a respectful and safe digital environment is of utmost importance. The Offensive Language Detection API plays a crucial role in achieving this goal by efficiently flagging and flagging potentially offensive language, ensuring that online spaces remain devoid of disrespectful and harmful content.
This API serves as a fundamental component for content moderation, automatically analyzing and categorizing textual content to detect offensive or inappropriate language. It is indispensable for a variety of digital platforms, applications and websites.
In the digital landscape, safeguarding the privacy and security of user data is a top priority. Offensive Language Detection API implementations must include robust measures to ensure the confidentiality and security of user information.
The Offensive Language Detection API is a critical tool for establishing and maintaining a safe, respectful and offensive language-free digital environment. In a world where online interactions are an integral part of everyday life, this API contributes significantly to creating online spaces that foster positive and respectful communication. By identifying and effectively addressing potentially offensive language, it ensures that the Internet remains a safer and more respectful place for everyone, whether on social networking platforms, online forums, e-commerce websites or educational platforms.
This API will help you with the immediate detection of offensive words.
Social media moderation: Automatically filter and remove offensive language and content from users' social media posts and comments.
Chats and messaging applications: Maintain a safe and respectful environment in chat rooms and messaging applications by detecting and filtering offensive language in real time.
User comment moderation: Automate the moderation of user-generated comments on websites, blogs and forums to prevent the posting of offensive or harmful content.
Brand reputation management: Protect your brand image by monitoring and addressing offensive mentions or content related to your products or services on the Internet.
Besides the number of API calls available for the plan, there are no other limitations.
To use this endpoint you must specify a word or text in the parameter.
Detect text - Endpoint Features
Object | Description |
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["Offensive text"]
curl --location --request GET 'https://zylalabs.com/api/2741/offensive+language+detection+api/2847/detect+text' --header 'Authorization: Bearer YOUR_API_KEY'
Header | Description |
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Authorization
|
[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
No long term commitments. One click upgrade/downgrade or cancellation. No questions asked.
The Offensive Language Detection API is an application programming interface designed to analyze and categorize text content to determine if it contains offensive or inappropriate language.
There are different plans suits everyone including a free trial for small amount of requests, but itβs rate is limit to prevent abuse of the service.
Zyla provides a wide range of integration methods for almost all programming languages. You can use these codes to integrate with your project as you need.
To use this API you must specify a word or text.
Zyla API Hub is like a big store for APIs, where you can find thousands of them all in one place. We also offer dedicated support and real-time monitoring of all APIs. Once you sign up, you can pick and choose which APIs you want to use. Just remember, each API needs its own subscription. But if you subscribe to multiple ones, you'll use the same key for all of them, making things easier for you.
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API calls are deducted from your plan based on successful requests. Each plan comes with a specific number of calls that you can make per month. Only successful calls, indicated by a Status 200 response, will be counted against your total. This ensures that failed or incomplete requests do not impact your monthly quota.
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