anti-profanity 0.1.4

A multilingual profanity filter supporting English, Hindi, and Bengali

ProfanityFilter

A simple and customizable profanity filtering class supporting multiple languages: English (en), Hindi (hi), and Bengali (bn). It allows you to censor, detect, or remove profane words from a given text.

Features

• 🔍 Detect profanity in text
• ✂️ Remove profanity completely
• ✳️ Censor profanity with a customizable replacement character
• 🌐 Multilingual support (English, Hindi, Bengali)
• 💡 Easy to integrate and extend

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Installation

Make sure your profanity word lists are properly structured and located in the appropriate data subdirectory:

project/ ├── Anti-Profanity/ │ ├── init.py │ ├── main.py │ └── data / │ ├── en_profanity.py │ ├── hi_profanity.py
│ └── bn_profanity.py ├── readme.md └── setup.py

Each language file (e.g., en_profanity.py) should export a list of profane words:

from anti-profanity import ProfanityFilter

# For English only
pf_en = ProfanityFilter("en")

# For English and Hindi
pf_multi = ProfanityFilter(["en", "hi"])

# For all supported languages
pf_all = ProfanityFilter()

Methods

Example 1

censor_profanity(text, replacement="*", lang=None)

Replaces each character of any detected profanity with the replacement character.

text = "This contains badword1."
censored = pf_en.censor_profanity(text)
print(censored)  # Output: This contains ********

Example 2

is_profanity(text, lang=None)

Checks whether the given text contains any profane words.

is_dirty = pf_multi.is_profanity("Text with badword2")
print(is_dirty)  # Output: True

Example 3

remove_profanity(text, lang=None)

Removes all profane words from the given text.

cleaned = pf_en.remove_profanity("Some badword1 text")
print(cleaned)  # Output: Some  text

Customization

You can extend the filter by adding your own languages or editing the existing profanity lists in the data directory.

License

MIT