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Keep Your Content Safe Using This Filter API

Proof-reading and edition have evolved with the optimization of tools to edit text and scan for mistakes and bad words.

It used to be done manually, but developers today devise software for their clients who need easy-to-use instruments to detect and censor bad words in a text.

Keep Your Content Safe Using This Filter API

To accomplish the requests from their clients, developers need a strong basis on which to develop customized tools for those who want to make sure to filter words and have a safe environment on their blogs, website and texts in general. The most recommendable on the market is Bad Words Filter API, an accurate, efficient and easy-to-use content filter API for toxicity avoidance.

This API uses NLP in order to decode the content into logical words ignoring punctuation, case, formatting, etc. Word transformations are also performed so as to detect obfuscation of bad words (e.g. repeated characters, unnecessary whitespace, and special symbols), and for detecting, extracting or substituting bad words from the supplied text.

The user inserts in the corresponding space a string of text or the link to a text, and the swearing filter API retrieves a list of the bad words the tool has recognized. It`s also possible to select a character to replace all the detected bad words to make it easier to spot them. This character or symbol can be an asterisk or a word of the user´s choice.

The most frequent use cases of Bad Words Filter API is the scan of an article drafter by content creators that the user needs to upload on their site, or to analyze a text extracted from a blog or post so as to avoid bad words. It can also be used with accuracy for users who want to maintain some environment without bad words, for the sake of safety or respect. This will make the user sure that there are no offensive nicknames. Also in the case of an integrated chat on one´s site, to prevent toxicity in an easy way. In all, this is an excellent tool to censor any bad language at once!

This profanity detector API is ideal for content for educational purposes, law enforcement, scientific blogs, didactic material, journalistic articles, etc. In our times, when vulgar language is more and more frequent and the etiquette rules seem to be neglected many times, this is an excellent and efficient software to keep texts clean, pristine, clear from curses and vulgarities.

You can select a “censor-character” that will be shown instead of the censorable word detected to be one step ahead. Also, you can choose a “catalog” to be strict (for profanity, obscenity, sexual, rude, cuss, dirty, swear and objectionable words and phrases) or obscene (for adult environments where certain types of bad words are considered correct).

How To Get Started With This API

Keep Your Content Safe Using This Filter API

Counting on a subscription on Zyla API Hub marketplace, just start using, connecting and managing APIs. Subscribe to Bad Words Filter API by simply clicking on the button “Start Free Trial”. Then meet the needed endpoint and simply provide the search reference. Make the API call by pressing the button “test endpoint” and see the results on display. The AI will process and retrieve an accurate report using this data.

Bad Words Filter API examines the input and processes the request using the resources available (AI and ML). In no time at all the application will retrieve an accurate response. The API has one endpoint to access the information: Content Filter, where you insert the text you need to scan for bad words.

If the input is “A rich young woman sat beside a poor elderly man on a plane. She alerted the flight attendant upon taking her seat. The flight attendant answered warmly, when the woman abruptly said, “Please find me another seat immediately.” The flight attendant responded, “I’m sorry Ma’am, but the economy cabin is fully booked.” The rich woman replied, “But I’m not going to travel beside a worthless bum. Do something.” While the elderly man stared in disbelief, the flight attendant responded, “I’ll talk to the Captain about this.” in the endpoint, the response will look like this:

{
"censored-content": "A rich young woman sat beside a poor elderly man on a plane. She alerted the flight attendant upon taking her seat. The flight attendant answered warmly, when the woman abruptly said, “Please find me another seat immediately.” The flight attendant responded, “I’m sorry Ma’am, but the economy cabin is fully booked.” The rich woman replied, “But I’m not going to travel beside a worthless bum. Do something.” While the elderly man stared in disbelief, the flight attendant responded, “I’ll talk to the Captain about this.”",
"is-bad": false,
"bad-words-list": [],
"bad-words-total": 0
}
Published inAPIApps, technologyCategoryTechnology
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