Note

the bad words are extracted from the profane-words package and modified by us. homoglyph characters are extracted from the unicode homoglyph list and modified by us to ensure safety.

@projectjam/profane-detect

universal profanity detection that handles obfuscated text, leetspeak, homoglyphs, and multiple character variations. detects attempts to bypass filters using special characters, similar-looking letters, subtle modifications, and reversed text.

features

• 🔍 robust detection of obfuscated profanity, including substring matches (e.g., "fck" in "badfckword").
• 🧑‍💻 handles leetspeak (e.g., "f0ck" -> "fuck").
• 🔄 advanced homoglyph mapping (similar-looking characters).
• 🎯 reports the most relevant banned word based on the longest normalized match.
• ◀️ reversed text detection is always active (e.g., "kcuf" -> "fuck").
• 📝 json output with detailed metrics and timestamps.
• ⚡ fast normalization and optional caching for performance.
• 🌐 full unicode support.
• 📦 works with esm, commonjs, and typescript.

working on

• fast lookup
• substring detection
• leetspeak normalization
• reversable text
• universal language support
• custom homoglyph symbols
• slang detection

installation

npm install @projectjam/profane-detect

usage

basic detection

import { profanedetect } from '@projectjam/profane-detect'; // note: class name is profanedetect

const detector = new profanedetect(); // default options are sensible

// example: detects "fck" within "hellfck" after normalization
const result1 = detector.detect("hello f*ck");
console.log(result1);
// expected output might look like:
// {
//   found: true,
//   matches: [ 'fuck' ], // original word from your banned list
//   normalized: 'hellofck',
//   metrics: { /* ... */ }
// }

const result2 = detector.detect("c00kiefck");
console.log(result2);
// expected output might look like:
// {
//   found: true,
//   matches: [ 'fuck' ], // matched "fck" part
//   normalized: 'cookiefck',
//   metrics: { /* ... */ }
// }

json output

import { profanedetect } from '@projectjam/profane-detect';
const detector = new profanedetect();

const jsonresult = detector.tojson("this is some f0cking text!");
console.log(jsonresult);
// will include config details like usingreversible: true

custom configuration

import { profanedetect } from '@projectjam/profane-detect';

const detector = new profanedetect({
  // custom safe words to ignore (these are normalized before use)
  safewords: ["grass", "assessment"],

  // case sensitive matching (default: false)
  casesensitive: true,

  // custom list of banned words
  bannedwords: ["newbad", "morebad"],

  // custom character mapping for homoglyphs
  homoglyphmapping: { 'α': 'a', 'β': 'b' }, // overrides or extends default

  // disable fast lookup cache (default: true)
  usefastlookup: false,

  // the usereversible option exists in types but detection of reversed text
  // is currently always active in the detect() method.
  // setting this to false will primarily affect the `usingreversible` flag in tojson() output.
  usereversible: false
});

handles obfuscation

the detector is designed to catch various obfuscation techniques:

import { profanedetect } from '@projectjam/profane-detect';
const detector = new profanedetect();

// leetspeak
console.log(detector.detect("f0ck u a55h0le")); // matches: fuck, asshole

// unicode fullwidth
console.log(detector.detect("ｆｕｃｋ")); // matches: fuck

// homoglyphs (if '𝒖' maps to 'u' in your homoglyph data)
console.log(detector.detect("f𝒖ck")); // matches: fuck

// separators (gets normalized to "fuck")
console.log(detector.detect("f.u*c_k")); // matches: fuck

// similar characters (if 'ſ' maps to 's' or 'f')
console.log(detector.detect("ſuck")); // matches: fuck (depending on mapping)

// reversed text (always checked)
console.log(detector.detect("reggin")); // matches: nigger

api reference

constructor

see profanedetectoptions in src/types.ts for all available options.

import { profanedetect, profanedetectoptions } from '@projectjam/profane-detect';

const options: profanedetectoptions = {
  safewords: ["customsafeword"],
  casesensitive: false,
  bannedwords: ["mycustombannedword"],
  homoglyphmapping: { /* ... */ },
  usefastlookup: true,
  usereversible: true // primarily affects tojson output flag
};

const detector = new profanedetect(options);

refer to src/types.ts for profanedetectoptions interface details.

methods

detect(text: string): detectionresult

analyzes the input text and returns a detectionresult object. see src/types.ts for the detectionresult interface. reversed text is always checked.

tojson(text: string): detectionentry

analyzes the input text and returns a detectionentry object, which includes the detectionresult along with timestamp and configuration information. see src/types.ts for the detectionentry interface. the config.usingreversible flag will reflect the state of the usereversible option.

checkword(word: string): wordstatus

quickly checks the status of a single, pre-normalized word using the cache (if usefastlookup is true). throws an error if usefastlookup is disabled. see src/types.ts for the wordstatus interface.

addtowhitelist(word: string): void

adds a word to the user whitelist. the word is normalized before being added.

normalize(text: string): string

the normalization function used internally. exposed for debugging or specific use cases.

debugmapping(char: string): string

returns the character that the input char maps to in the homoglyph mapping (respects casesensitive setting).

fast lookup cache

when usefastlookup is true (default), the detector uses an internal cache for words it has already processed and for pre-cached banned/safe words. the user whitelist provided via safewords in options, or added via addtowhitelist(), also populates this cache with a "pass" status.

import { profanedetect } from '@projectjam/profane-detect';

const detector = new profanedetect({
  usefastlookup: true, // default
  safewords: ["custom", "safe", "words"]
});

// add more words to the whitelist dynamically
detector.addtowhitelist("anothersafeone");

// check individual words quickly (word should be pre-normalized if checking directly)
// the checkword method normalizes its input.
const status = detector.checkword("someword");
console.log(status); // e.g., { status: 'safe', reason: 'not found in cache' }

const status2 = detector.checkword("custom");
console.log(status2); // e.g., { status: 'pass', reason: 'user whitelist' }

contributing

pull requests are welcome! for major changes, please open an issue first or email us. make sure tests are updated to cover new options.