fod4se

Flexible Obfuscation Dictionary For Sanitization Enforcement (FOD4SE)

A powerful text sanitization library with support for multiple languages, symbol normalization, and flexible configuration options.

Features

• Built-in dictionaries for multiple languages
• Symbol normalization (e.g., @ → a, $ → s)
• Partial or full word replacement
• Left-to-right or right-to-left replacement direction
• Customizable replacement characters
• Ignore list support
• Full or partial word matching

Installation

npm install fod4se

Quick Start

import { LanguageFilter } from "fod4se";

// Create a filter with English dictionary
const filter = new LanguageFilter({ baseLanguage: "en" });

// Clean text
const cleaned = filter.getSafe("Your text here");

Alternative Usages

You can also use the getSafeText and analyzeText functions directly without creating a LanguageFilter instance.

Using getSafeText

import { getSafeText } from "fod4se";

const cleaned = getSafeText("Your text here", { baseLanguage: "en" });
console.log(cleaned); // Returns sanitized text

Using analyzeText

import { analyzeText } from "fod4se";

const result = analyzeText("Text to analyze", { baseLanguage: "en" });
console.log(result.cleaned); // Sanitized text
console.log(result.profanity); // true if anything was found
console.log(result.matches); // Array of matches with details

Detailed Usage

Basic Usage with Built-in Dictionary

import { LanguageFilter } from "fod4se";

const filter = new LanguageFilter({
  baseLanguage: "en", // Use built-in English dictionary
});

filter.getSafe("Text to clean"); // Returns sanitized text

The base dictionaries are at an early stage of development and are very incomplete. If you miss something, refer to the contributing section.

Custom Dictionary

import { LanguageFilter } from "fod4se";

const filter = new LanguageFilter({
  baseLanguage: "none",
  config: {
    profanity: ["word1", "word2"],
    ignore: ["goodword1", "goodword2"],
  },
});

Advanced Analysis

import { LanguageFilter } from "fod4se";

const filter = new LanguageFilter({ baseLanguage: "en" });
const result = filter.analyze("Text to analyze");

console.log(result.cleaned); // Sanitized text
console.log(result.profanity); // true if anything was found
console.log(result.matches); // Array of matches with details

Custom Configuration

import { LanguageFilter, regexTemplate } from "fod4se";

const filter = new LanguageFilter({
  baseLanguage: "en",
  config: {
    replaceString: "#@", // Pattern used in replacement (What is this #@#@#)
    replaceRatio: 0.5, // Replace 50% of matched words
    replaceDirection: "LTR", // Replace from left to right
    matchTemplate: regexTemplate.partialMatch, // Match partial words
    ignoreSymbols: true, // Don't normalize symbols
  },
});

Configuration Options

LanguageFilter Options

Option	Type	Default	Description
baseLanguage	"none" | "en" | "pt-br"	-	Built-in dictionary to use
config	FSConfig	-	Configuration object

FSConfig Options

Option	Type	Default	Description
profanity	string[]	[]	Custom list of words to filter
ignore	string[]	[]	Words to exclude from filtering
replaceString	string	"*"	Character(s) used for replacement
replaceRatio	number	1	Portion of word to replace (0 to 1)
replaceDirection	"LTR" | "RTL"	"RTL"	Direction of partial replacement
matchTemplate	string	regexTemplate.fullWord	Word matching pattern
ignoreSymbols	boolean	false	Disable symbol normalization

Match Templates

import { getSafeText, regexTemplate } from "fod4se";

const text = "c4t category [cat]";
const profanity = ["cat"];

const templates = [
  //regexTemplate.fullWord matches "cat" but not "category":
  regexTemplate.fullWord,
  //regexTemplate.partialMatch matches both "cat" and "category"
  regexTemplate.partialMatch,
  //custom template to match only [cat]
  "\\[{0}\\]",
];

templates
  .map((matchTemplate) => getSafeText(text, profanity, { matchTemplate }))
  .forEach((result) => console.log(result));
/*
Outputs:
*** category [***] //full
*** ***egory [***] //partial
c4t category ***** //custom
*/

License

MIT License - see LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.