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#88 in Rust patterns

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7,203 downloads per month
Used in 28 crates (4 directly)




rustrict is a sophisticated profanity filter for Rust.


  • Multiple types (profane, offensive, sexual, mean, spam)
  • Multiple levels (mild, moderate, severe)
  • Resistant to evasion
    • Alternative spellings (like "fck")
    • Repeated characters (like "craaaap")
    • Confusable characters (like 'ᑭ', '𝕡', and '🅿')
    • Spacing (like "c r_a-p")
    • Accents (like "pÓöp")
    • Bidirectional Unicode (related reading)
    • Self-censoring (like "f*ck")
    • Safe phrase list for known bad actors]
    • Censors invalid Unicode characters
    • Battle-tested in Mk48.io
  • Resistant to false positives
    • One word (like "assassin")
    • Two words (like "push it")
  • Flexible
    • Censor and/or analyze
    • Input &str or Iterator<Item = char>
    • Can track per-user state with context feature
    • Can add words with the customize feature
    • Accurately reports the width of Unicode via the width feature
    • Plenty of options
  • Performant
    • O(n) analysis and censoring
    • No regex (uses custom trie)
    • 4 MB/s in release mode
    • 100 KB/s in debug mode


  • Mostly English/emoji
  • Censoring removes most diacritics (accents)
  • Does not detect right-to-left profanity while analyzing, so...
  • Censoring forces Unicode to be left-to-right
  • Doesn't understand context
  • Not resistant to false positives affecting profanities added at runtime


Strings (&str)

use rustrict::CensorStr;

let censored: String = "hello crap".censor();
let inappropriate: bool = "f u c k".is_inappropriate();

assert_eq!(censored, "hello c***");

Iterators (Iterator<Type = char>)

use rustrict::CensorIter;

let censored: String = "hello crap".chars().censor().collect();

assert_eq!(censored, "hello c***");


By constructing a Censor, one can avoid scanning text multiple times to get a censored String and/or answer multiple is queries. This also opens up more customization options (defaults are below).

use rustrict::{Censor, Type};

let (censored, analysis) = Censor::from_str("123 Crap")
    .with_censor_first_character_threshold(Type::OFFENSIVE & Type::SEVERE)

assert_eq!(censored, "123 C***");
assert!(analysis.isnt(Type::PROFANE & Type::SEVERE | Type::SEXUAL));

If you cannot afford to let anything slip though, or have reason to believe a particular user is trying to evade the filter, you can check if their input matches a short list of safe strings:

use rustrict::{CensorStr, Type};

// Figure out if a user is trying to evade the filter.

// Only let safe messages through.
assert!("Hello there!".is(Type::SAFE));
assert!("nice work.".is(Type::SAFE));
assert!("not a common phrase".isnt(Type::SAFE));

If you want to add custom profanities or safe words, enable the customize feature.

#[cfg(feature = "customize")]
    use rustrict::{add_word, CensorStr, Type};

    // You must take care not to call these when the crate is being
    // used in any other way (to avoid concurrent mutation).
    unsafe {
        add_word("reallyreallybadword", (Type::PROFANE & Type::SEVERE) | Type::MEAN);
        add_word("mybrandname", Type::SAFE);

But wait, there's more! If your use-case is chat moderation, and you can store data on a per-user basis, you might benefit from the context feature.

#[cfg(feature = "context")]
    use rustrict::{BlockReason, Context};
    use std::time::Duration;
    pub struct User {
        context: Context,
    let mut bob = User {
        context: Context::default()
    // Ok messages go right through.
    assert_eq!(bob.context.process(String::from("hello")), Ok(String::from("hello")));
    // Bad words are censored.
    assert_eq!(bob.context.process(String::from("crap")), Ok(String::from("c***")));

    // Can take user reports (After many reports or inappropriate messages,
    // will only let known safe messages through.)
    for _ in 0..5 {
    // If many bad words are used or reports are made, the first letter of
    // future bad words starts getting censored too.
    assert_eq!(bob.context.process(String::from("crap")), Ok(String::from("****")));
    // Can manually mute.
    assert!(matches!(bob.context.process(String::from("anything")), Err(BlockReason::Muted(_))));


To compare filters, the first 100,000 items of this list is used as a dataset. Positive accuracy is the percentage of profanity detected as profanity. Negative accuracy is the percentage of clean text detected as clean.

Crate Accuracy Positive Accuracy Negative Accuracy Time
rustrict 89.35% 92.60% 88.53% 8s
censor 76.16% 72.76% 77.01% 23s



If you make an adjustment that would affect false positives, you will need to run false_positive_finder:

  1. Run ./download.sh to get the required word lists.
  2. Run cargo run --bin false_positive_finder --release --all-features


Licensed under either of

at your option.


Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.


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