Text Moderation API uses Natural Language Processing (NLP) and Machine Learning algorithms to analyze text and identify potentially harmful content such as hate speech, offensive language, harassment, and spam.
Text Moderation APIs can be used to filter and remove inappropriate material in user-generated content (UGC), as in comments, reviews, messages, and social media posts. These APIs can help maintain a safe and respectful online environment by detecting and filtering out such content.
Once the text is processed, the API delivers a result indicating whether the content is acceptable or not, and may furnish supplementary details of the moderation decision, such as the summary or reasons behind the moderation. Some providers also offer profanity filter personal data detection within texts.
You can use content moderation in numerous fields, here are some examples of common use cases:
These are just a few examples of Text Moderation APIs uses case, it can be applied in many different fields to automate moderation, helping to ensure appropriate and respectful communication while delivering a better user experience.
While comparing Text Moderation APIs, it is crucial to consider different aspects, among others, cost security and privacy. Text Moderation experts at Eden AI tested, compared, and used many Text Moderation APIs of the market. Here are some actors that perform well (in alphabetical order):
Cohere leverages its ultimate Classify technology to provide a powerful Text Moderation API. Using advanced NLP models, Cohere's API can accurately and efficiently filter out harmful or inappropriate content in real-time, including hate speech, harassment, spam and more. Additionally, Cohere's solution is highly customizable, allowing businesses to fine-tune the moderation rules based on their specific needs and preferences.
Hive.ai provides a state-of-art Content Moderation API that can deliver high-speed response, with results returned in under 200ms. Furthermore, Hive.ai boasts impressive model accuracy thanks to its extensive training data. With more than 100 million human annotations amassed in its training data, the model can recognize and filter out content from various model classes, including sexual, drugs, child safety, cyberbullying, PII, and phone.
Membrance offers a Text Moderation API that can be leveraged in various fields, such as e-commerce, online communities, dating services, and gaming. Their solution is highly flexible and can be adapted to a business's specific values and content policies. In particular, Membrance’s API can detect and filter out various types of content, including spam, clickbait, obscene, profanity, and more. It also supports various languages, making it highly accessible to businesses worldwide.
Microsoft Azure’s Text Moderator can analyze text in a variety of contexts, including chat rooms, discussion boards, chatbots, e-commerce catalogs, and documents. The technology can identify and flag profanity in multiple languages using a built-in list of profane terms. Additionally, Azure’s solution can classify text into three categories using machine-assisted classification, and can even detect personal data and automatically correcting texts if necessary.
Moderation API’s solution has the ability to detect, extract, and hide a variety of data entities, including personal, sensitive information and unwanted content (toxic, inappropriate content, spam, etc). Their technology is highly customizable and adaptable, allowing businesses to fine-tune their moderation rules to match their audience and specific content while ensuring real-time response.
The API is built on OpenAI's advanced NLP technology and is designed to provide high accuracy and reliability in identifying inappropriate content. OpenAI’s offering stands out for its ability to understand the context of language and accurately identify nuanced forms of abusive language, such as hate speech, cyberbullying, self-harm content, as well as identify potential cases of misinformation or disinformation.
SightEngine offers an all-in-one solution for filtering and moderating user-generated content in real time. Using advanced Natural Language Analysis and Proprietary Algorithms, the API can automatically detect inappropriate words and phrases in any text, including chat messages, user profiles, comments, and reviews in many languages. With SightEngine, you can pick and choose the filters you want to apply, and you can add your own custom blacklists and whitelists. Additionally, the API can detect personal information such as email addresses and phone numbers, as well as links and URLs, allowing you to prevent spammers from abusing your platform.
For all companies who use Text Moderation in their software: cost and performance are real concerns. The Text Moderation market is quite dense and all those providers have their benefits and weaknesses.
Performances of Text Moderation APIs vary according to the specificity of data used by each AI engine for their model training.
Text Moderation APIs perform differently depending on the language of the text and some providers are specialized in very specific languages. Different specificities exist
Some Text Moderation APIs trained their engine with specific data. This means that an API designed for email filtering may have trouble detecting more subtle forms of harassment or abuse that can occur in chat or instant messaging platforms.
Companies and developers from a wide range of industries (Social Media, Retail, Health, Finances, Law, Software, etc.) use Eden AI’s unique API to easily integrate Text Moderation tasks in their cloud-based applications, without having to build their own solutions.
Eden AI offers multiple AI APIs on its platform amongst several technologies: Text-to-Speech, Language Detection, Sentiment Analysis, Logo Detection, Question Answering, Data Anonymization, Speech Recognition, and so forth.
We want our users to have access to multiple Text Moderation engines and manage them in one place so they can reach high performance, optimize cost and cover all their needs. There are many reasons for using multiple APIs:
Eden AI is the future of AI usage in companies: our app allows you to call multiple AI APIs.
You can see Eden AI documentation here.
The Eden AI team can help you with your Text Moderation integration project. This can be done by :