The AI Content Moderator API is a powerful solution for moderating multilingual text with machine assistance. Powered by Microsoft Azure Cognitive Services, this API is designed to detect potentially offensive or unwanted content within text data. It offers a comprehensive suite of moderation tools to ensure that user-generated content aligns with community guidelines, content policies, and legal requirements.
One of the key features of the Content Moderator API is its ability to detect profanity in over 100 languages. By leveraging advanced language processing techniques and a vast profanity database, the API can accurately identify and flag inappropriate language, helping maintain a safe and respectful environment for users.
When utilizing the API, it's important to note that the maximum length of text that can be processed is 1024 characters. This limit ensures efficient and reliable moderation while keeping within the operational constraints. If the content passed to the API exceeds this size limit, the API will return an error code, indicating that the content should be shortened or split into smaller segments for processing.
The Content Moderator API can be seamlessly integrated into various platforms and applications to automate content moderation workflows. It enables developers to proactively moderate user-generated content in real-time, preventing the display or dissemination of offensive, abusive, or inappropriate content.
This API is particularly useful for social media platforms, online communities, chat applications, forums, and any other platforms that rely on user-generated content. By incorporating the Content Moderator API, these platforms can ensure compliance with their content policies and community guidelines, maintaining a positive user experience and safeguarding their brand reputation.
Furthermore, the AI Content Moderator API is equipped with additional capabilities beyond profanity detection. It offers features such as text classification, which enables categorization of content into predefined categories, and text moderation, which helps identify and filter out content that contains potentially sensitive topics or discussions.
The API also supports customized moderation rules, allowing developers to define specific criteria for flagging or filtering content based on their unique requirements. This flexibility ensures that the moderation process aligns with the specific context and guidelines of each platform.
In conclusion, the AI Content Moderator API powered by Microsoft Azure Cognitive Services provides an efficient and reliable solution for machine-assisted moderation of multilingual text. With its ability to detect profanity in over 100 languages, integration of this API can help platforms maintain a safe and respectful environment for users, adhere to content policies, and meet legal requirements.
Pass the text that you want to moderate, and receive its analysis.
Social Media Moderation: The AI Content Moderator API can be integrated into social media platforms to automatically detect and filter out offensive or inappropriate user-generated content. It helps maintain a safe and respectful online environment by identifying and removing content that violates community guidelines or contains profanity.
Online Community Forums: Community forums often rely on user-generated content for discussions. By implementing the Content Moderator API, forum administrators can ensure that conversations remain civil and respectful. The API can detect and flag potentially offensive language, allowing moderators to review and take appropriate actions.
Chat Applications: Chat applications, especially those open to public conversations, can benefit from the Content Moderator API to prevent the spread of offensive or abusive messages. The API's profanity detection capability can automatically filter out inappropriate language in real-time, creating a more positive and inclusive chat experience.
User Review Platforms: Platforms that feature user reviews, such as product review websites or app stores, can use the Content Moderator API to filter out reviews containing profanity or inappropriate content. This ensures that the displayed reviews maintain a high standard of professionalism and usefulness for other users.
Content Filtering in Online Marketplaces: Online marketplaces that allow user-generated content, such as product descriptions or comments, can leverage the Content Moderator API to filter out inappropriate or offensive content. By implementing the API, marketplace operators can maintain a positive and trustworthy environment for buyers and sellers, reducing the risk of encountering inappropriate or misleading content.
E-Learning Platforms: E-learning platforms often include user-generated content in the form of discussions or comments. By utilizing the Content Moderator API, these platforms can automatically identify and remove offensive or inappropriate language, creating a safe and respectful learning environment for students and educators.
Besides the number of API calls, there is no other limitation
When using the API, text can be at most 1024 characters long. If the content passed to the text API exceeds the size limits, the API will return an error code that informs about the issue.
Moderate - Endpoint Features
| Object | Description |
|---|---|
text |
[Required] Text you want to analyze. |
{"original": "whats this shit.", "censored": "whats this ****.", "has_profanity": true}
curl --location --request GET 'https://zylalabs.com/api/2175/ai+content+moderator+api/5697/moderate?text=Whats this shit.' --header 'Authorization: Bearer YOUR_API_KEY'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
The API utilizes advanced language processing techniques and a comprehensive profanity database to identify and flag offensive or inappropriate language in text data.
Yes, the Content Moderator API is capable of detecting profanity in over 100 languages, ensuring comprehensive coverage for multilingual content moderation.
The API can moderate various forms of user-generated text content, such as comments, reviews, messages, forum posts, and more.
Yes, the AI Content Moderator API is designed to be easily integrated into various platforms and applications, including social media platforms, chat applications, online communities, and more.
Yes, the maximum length of text that can be processed by the API is 1024 characters. Any content exceeding this limit will result in an error code being returned.
The API returns a JSON object containing the original text, a censored version with profanity masked, and a boolean indicating whether profanity was detected. For example: `{"original": "whats this shit.", "censored": "whats this ****.", "has_profanity": true}`.
The key fields in the response data are "original" (the input text), "censored" (the text with profanity masked), and "has_profanity" (a boolean indicating the presence of offensive language).
The response data is structured in JSON format, with key-value pairs that provide clear information about the moderation results, making it easy to parse and utilize in applications.
The primary parameter for the endpoint is the text to be moderated. Users must ensure that the text does not exceed the 1024-character limit to avoid errors.
Users can customize their requests by adjusting the input text they send to the API. However, the API does not support additional parameters for customization beyond the text input.
The endpoint provides information on whether the input text contains profanity, the original text, and a censored version of the text, allowing users to understand the moderation outcome.
Users can utilize the returned data to filter or flag inappropriate content in their applications, ensuring compliance with community guidelines and enhancing user experience.
The API leverages Microsoft Azure Cognitive Services, which employs advanced language processing techniques and a comprehensive profanity database to maintain high accuracy and reliability in content moderation.
Please have a look at our Refund Policy: https://zylalabs.com/terms#refund
To obtain your API key, you first need to sign in to your account and subscribe to the API you want to use. Once subscribed, go to your Profile, open the Subscription section, and select the specific API. Your API key will be available there and can be used to authenticate your requests.
You can’t switch APIs during the free trial. If you subscribe to a different API, your trial will end and the new subscription will start as a paid plan.
If you don’t cancel before the 7th day, your free trial will end automatically and your subscription will switch to a paid plan under the same plan you originally subscribed to, meaning you will be charged and gain access to the API calls included in that plan.
The free trial ends when you reach 50 API requests or after 7 days, whichever comes first.
No, the free trial is available only once, so we recommend using it on the API that interests you the most. Most of our APIs offer a free trial, but some may not include this option.
Yes, we offer a 7-day free trial that allows you to make up to 50 API calls at no cost, so you can test our APIs without any commitment.
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.
Service Level:
100%
Response Time:
7,377ms
Service Level:
100%
Response Time:
166ms
Service Level:
100%
Response Time:
1,116ms
Service Level:
100%
Response Time:
1,377ms
Service Level:
100%
Response Time:
349ms
Service Level:
100%
Response Time:
1,373ms
Service Level:
90%
Response Time:
721ms
Service Level:
100%
Response Time:
711ms
Service Level:
100%
Response Time:
5,730ms
Service Level:
100%
Response Time:
691ms
Service Level:
100%
Response Time:
2,501ms
Service Level:
100%
Response Time:
2,304ms
Service Level:
100%
Response Time:
6,430ms
Service Level:
100%
Response Time:
3,234ms
Service Level:
100%
Response Time:
2,810ms
Service Level:
100%
Response Time:
2,362ms
Service Level:
100%
Response Time:
2,042ms
Service Level:
100%
Response Time:
4,061ms
Service Level:
100%
Response Time:
3,496ms
Service Level:
100%
Response Time:
3,257ms