Using APIs at work that contain profanity is needed, but you’re not sure how to do it. Continue reading to learn more about each new feature.
When certain offensive words are used in a comment, our Bad Terms Detection API automatically detects them and blocks them. The term “Global Village” has probably come up frequently. This is true in that we have access to everything via the Internet. We are able to speak with everyone on the earth with ease.
As a result, having access to everything makes us feel relatively privileged to have lived during the internet era. We can discuss any topic from our couch. The modern world, however, also has its disadvantages.
Hacking, racism, cyberbullying, harassment, and other serious issues facing the internet and the global community include these. One issue that we have all surely faced is the usage of vulgar language and hate speech in online comments. And we’ve created an API that automatically detects foul language and removes it from comments in order to address this problem.
You will inevitably need to find and filter profanity when creating applications where users post (or interact with) material. To name a few of these, there are social networking tools, video game chat rooms, and comment sections.
How Can Bad Words Be Spotted?
Swear words are offensive, profane, or vulgar words. People insult other people by using them negatively or harshly. Strong emotions like annoyance, disappointment, or exhilaration can also be expressed verbally.
A profanity filter can be made in several ways. The method that uses a bad word detection API is the most effective. For instance, one of the best and most sophisticated filters available is Bad Words API by APILayer. To find swear words in any text, it leverages Machine Learning models that have already been developed. It can also suppress the detected terms by applying a mask to them.
Awful Words API:
Reveals the swear word that was filtered along with its location in a message.
Withstands attempts to bypass the filter.
Words containing special characters are caught.
You can send 100 queries per day to test the API in your project or system.
Bad Words Filter API
The filter disregards punctuation, case, formatting, etc. to employ natural language processing to translate the input into logical terms (NLP). Word transformations, which can also show words with repeating letters, excess whitespace, and special characters, can be used to detect word obfuscation. Using Bad Words Filter API, you can censor unwanted terms from the text in addition to discovering and extracting them from it.
The API will be given a text string or URL, and it will then output a list of all the harmful terms it has discovered. You can alternatively substitute a different character for these offensive words. An asterisk or another word of your choice may be used.
You may locate the best tool and filter every bad word by going to the Zyla API Hub marketplace and choosing the Bad Words Filters API utility using the search API engine. Naturally, you can also browse every API that is easily accessible. Make use of this wonderful resource!
PurgoMalum
PurgoMalum is a straightforward RESTful internet service for filtering out material, including obscenity and offensive language. The user interface for PurgoMalum offers a wide range of customization options and outputs results in plain text, XML, and JSON.
You can add your own words to the profanity list using a request parameter. The purpose of PurgoMalum is to remove words from input text based on an internal swear list (see Request Parameters below). As an illustration, “@” will be read as a “a,” “$” as a “s,” and so on. Instead of using the standard alphanumeric characters, it seeks to identify commonly used characters.
NSFW
Assessing photographs according to their content (nudity, intense sexuality, profanity, violence or other potentially disturbing subject matter). An efficient, trustworthy, and inexpensive API for recognizing NSFW photos.
The NVIDIA DGX-2 is the engine. An image can be up to 16384 × 16384 pixels in size.
For PNG, GIF, JPEG, and WEBP formats.
Either in color or in one color only.
Either the alpha-channel is active or not.
A response might be “nsfw”: 0.16604627668857574. That demonstrates that 16.6% of the content is NSFW.