Note

Banned-word lists exist across many repositories and websites — but after looking through most of them, the story is always the same: abandoned projects, outdated entries, or coverage limited to just one or two languages. I wanted something better. So I spent time collecting, merging, and cleaning word lists from every source I could find, across as many languages as possible. The result is this repository — an attempt to build the most complete and actively maintained multilingual banned-word collection available.

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A curated collection of banned words in multiple languages.

This repository is designed for teams who want to automatically detect and block unwanted words in pull requests, commits, issue comments, chat pipelines, or any custom moderation workflow.

What this repository contains

• Language-specific text files under Banned-words-list/.
• One banned word per line (plain .txt format).
• Files that can be used directly in scripts, CI jobs, bots, and repository governance tools.

Available languages

The repository includes separate files for many languages (for example: Arabic, Czech, French, Italian, Japanese, Russian, Ukrainian, and others).

Browse all lists in:

	File	Language	Words
🤬	ru.txt	Russian	4249
🤬	en.txt	English	3225
🤬	es.txt	Spanish	500
🤬	federal_government.txt	federal_government.txt	381
🤬	zh.txt	Chinese	335
🤬	flags_all.txt	Flags of countries	267
🤬	nl.txt	Dutch	190
🤬	ja.txt	Japanese	180
🤬	ro.txt	Romanian	175
🤬	it.txt	Italian	168
🤬	kk.txt	Kazakh	155
🤬	emoji.txt	Emoji	151
🤬	tr.txt	Turkish	142
🤬	uk.txt	Ukrainian	134
🤬	fi.txt	Finnish	130
🤬	hi.txt	Hindi	119
🤬	fr.txt	French	100
🤬	hu.txt	Hungarian	96
🤬	ta.txt	Tamil	86
🤬	pt.txt	Portuguese	76
🤬	ko.txt	Korean	72
🤬	id.txt	Indonesian	68
🤬	de.txt	German	66
🤬	ar.txt	Arabic	58
🤬	pl.txt	Polish	54
🤬	he.txt	Hebrew	49
🤬	el.txt	Greek	48
🤬	fa.txt	Persian	45
🤬	sv.txt	Swedish	43
🤬	cs.txt	Czech	41
🤬	no.txt	Norwegian	40
🤬	eo.txt	Esperanto	37
🤬	bn.txt	Bengali	33
🤬	gu.txt	Gujarati	31
🤬	ms.txt	Malay	31
🤬	th.txt	Thai	31
🤬	vi.txt	Vietnamese	31
🤬	kn.txt	Kannada	29
🤬	placeholder.txt	Placeholder	29
🤬	kab.txt	Taqbaylit	21
🤬	da.txt	Danish	20
🤬	ga.txt	Irish	16
🤬	fil.txt	Tagalog	13
🤬	tlh.txt	Klingon	3

Format rules

To keep the dataset consistent and automation-friendly, each list should follow these rules:

1. One word per line.
2. No duplicate entries.
3. Use lowercase where applicable.
4. Avoid leading/trailing spaces.

These rules match the contribution guidelines and help keep filters predictable.

Typical use cases

• Protecting repository discussions from toxic language.
• Enforcing communication policies in open-source projects.
• Pre-commit or CI checks for restricted terms.
• Building moderation bots for multilingual communities.

Quick start

1. Pick the language file(s) you need from Banned-words-list/.
2. Load each file into your filter tool.
3. Compare normalized text (trimmed and lowercased) against the list.
4. Block, flag, or report matches based on your policy.

Example (pseudo-code)

banned = load_lines("Banned-words-list/en.txt")
input_words = tokenize(user_text)

for word in input_words:
  normalized = lowercase(trim(word))
  if normalized in banned:
    reject("Contains banned word")

Contributing

Contributions are welcome.

Before opening a pull request:

• Read CONTRIBUTING.md.
• Ensure the file remains one-word-per-line.
• Remove duplicates.
• Keep words in lowercase where it makes sense for the language.

Important note

Word lists are context-limited and can produce false positives. Use them as a baseline signal, and combine them with contextual moderation when possible.