Tidy

A command-line tool for combining and cleaning large word list files.

A throw of the dice will never abolish chance. — Stéphane Mallarmé

What this tool aims to help users do

Tidy aims to help users create "better" word lists -- generally word lists that will be used to create passphrases like "block insoluble cardinal discounts".

Tidy performs basic list-cleaning operations like removing duplicate words and blank lines by default. It additionally provides various optional standardizations and filters, like lowercasing all words (-l), or removing words in with integers in them (-I), as well as protections against rare-but-possible passphrase pitfalls, such as prefix codes (-P) and low minimum word lengths (see below for explanations).

Tidy also can make word lists more "typo-resistant" by enforcing a minimum edit distance (-d), removing homophones and/or enforcing a unique prefix length (-x), which can allow users to auto-complete words after a specified number of characters.

Tidy can be used to create new word lists (for example, if given more than one list, Tidy will combine and de-duplicate them) with desirable qualities. It can also assist in audits of existing lists by removing duplicates and optionally printing notable information about a given word list, and/or a handful of pseudorandomly generated sample passphrases (--samples).

Features

Given a text file with one word per line, this tool will create a new word list in which...

duplicate lines (words) are removed
empty lines have been removed
whitespace from beginning and end of words is deleted
words are sorted alphabetically (though this can be optionally prevented -- see below)

and print that new word list to the terminal or to a text file.

Optionally, the tool can...

combine two or more inputted word lists
make all characters lowercase (-l)
set a minimum and maximum for word lengths
handle words with integers and non-alphanumeric characters
delete all characters before or after a delimiter (-d/-D)
take lists of words to reject or allow
remove homophones from a provided list of comma-separated pairs of homophones
enforce a minimum edit distance between words
remove prefix words (see below) (-P)
remove suffix words (-S)
remove all words with non-alphabetic characters from new list
straighten curly/smart quotes, i.e. replacing them with their "straight" equivalents (-q)
guarantee a maximum shared prefix length (see below) (-x)
normalize Unicode of all characters of all words on list to a specified normalization form (NFC, NFKD, etc.) (-z)
print corresponding dice rolls before words, separated by a tab. Dice can have 2 to 36 sides. (--dice)
print information about the new list, such as entropy per word, to the terminal (-A, -AA, -AAA, or -AAAA depending on how much information you want to printed)

and more!

If you do NOT want Tidy to sort list alphabetically, you can use the --no-sort option.

Usage

Usage: tidy [OPTIONS] <Inputted Word Lists>...

Arguments:
  <Inputted Word Lists>...
          Word list input files. Can be more than one, in which case they'll be combined 
          and de-duplicated. Requires at least one file

Options:
      --quiet
          Do not print any extra information

      --dry-run
          Dry run. Don't write new list to file or terminal

      --debug
          Debug mode

  -A, --attributes...
          Print attributes about new list to terminal. Can be used more than once to 
          print more attributes. Some attributes may take a nontrivial amount of time to calculate

  -s, --samples
          Print a handful of pseudorandomly selected words from the created list to the 
          terminal. Should NOT be used as secure passphrases

  -g, --ignore-after <IGNORE_AFTER_DELIMITER>
          Ignore characters after the first instance of the specified delimiter until the end 
          of line, treating anything before the delimiter as a word. Delimiter must be a single 
          character (e.g., ','). Use 't' for tab and 's' for space. Helpful for ignoring metadata 
          like word frequencies. Works with attribute analysis and most word removal options, but 
          not with word modifications (like to lowercase). May not be used together with 
          -d, -D or -G options

  -G, --ignore-before <IGNORE_BEFORE_DELIMITER>
          Ignore characters before and including the first instance of the specified delimiter, 
          treating anything after the delimiter as a word. Delimiter must be a single character 
          (e.g., ','). Use 't' for tab and 's' for space. Helpful for ignoring metadata like word 
          frequencies. Works with attribute analysis and most word removal options, but not with 
          word modifications (like to lowercase). May not be used together with -d, -D or -g options

  -O, --no-sort
          Do NOT sort outputted list alphabetically. Preserves original list order. Note that 
          duplicates lines and blank lines will still be removed

  -z, --normalization-form <NORMALIZATION_FORM>
          Normalize Unicode of all characters of all words. Accepts nfc, nfd, nfkc, or nfkd 
          (case insensitive). May negatively affect Tidy's performance

      --locale <LOCALE>
          Specify a locale for words on the list. Aids with sorting. Examples: en-US, es-ES. 
          Defaults to system LANG. If LANG environmental variable is not set, uses en-US

  -l, --lowercase
          Lowercase all words on new list

  -q, --straighten
          Replace “smart” quotation marks, both “double” and ‘single’, with their "straight" versions

  -P, --remove-prefix
          Remove prefix words from new list

  -S, --remove-suffix
          Remove suffix words from new list

  -K, --schlinkert-prune
          Use Sardinas-Patterson algorithm to remove words to make list uniquely decodable. Experimental!

  -N, --remove-nonalphanumeric
          Remove all words with non-alphanumeric characters from new list. Words with diacritics will remain

  -n, --delete-nonalphanumeric
          Delete all non-alphanumeric characters from all words on new list. Characters with 
          diacritics will remain

      --remove-nonalphabetic
          Remove all words with non-alphabetic characters from new list. Words with diacritcis 
          and other non-Latin characters will remain

  -L, --remove-non-latin-alphabetic
          Remove all words with any characters not in the Latin alphabet (A through Z and a 
          through z). All words with accented or diacritic characters will be removed, as well 
          as any words with puncuation and internal whitespace

  -C, --remove-nonascii
          Remove all words that have any non-ASCII characters from new list

  -I, --remove-integers
          Remove all words with integers in them from list

  -i, --delete-integers
          Delete all integers from all words on new list

  -d, --delete-after <DELETE_AFTER_DELIMITER>
          Delete all characters after the first instance of the specified delimiter until 
          the end of line (including the delimiter). Delimiter must be a single character 
          (e.g., ','). Use 't' for tab and 's' for space. May not be used together with -g or -G options

  -D, --delete-before <DELETE_BEFORE_DELIMITER>
          Delete all characters before and including the first instance of the specified delimiter. 
          Delimiter must be a single character (e.g., ','). Use 't' for tab and 's' for space. 
          May not be used together with -g or -G options

      --take-first <TAKE_FIRST>
          Only take first N words from inputted word list. If two or more word lists are inputted, it 
          will combine arbitrarily and then take first N words

      --take-rand <TAKE_RAND>
          Only take a random N number of words from inputted word list. If two or more word lists are 
          inputted, it will combine arbitrarily and then take a random N words. If you're looking to 
          cut a list exactly to a specified size, consider print-rand or whittle-to options

  -W, --whittle-to <WHITTLE_TO>
          Whittle list exactly to a specified length, only taking minimum number of words from the 
          beginning of inputted list(s). If the outputted list is not exactly the specified
          length, it will try again by taking a different amount of words form input list(s). 
          As a result, this using this option may cause Tidy to take a moment to produce 
          the finished list. Can accept expressions in the form of base**exponent (helpful 
          for generating diceware lists).
          
          This option should generally only be used if all of the following conditions are met: 
          (a) the inputted word list is sorted by desirability (e.g. ordered by word frequency); 
          (b) the user is either removing prefix words, removing suffix words, or doing a 
          Schlinkert prune; (c) the user needs the resulting list to be a specified length.
          
          Optionally can also take a "starting point" after a comma. For example, 
          --whittle-to 7776,15000 would start by taking the first 15,000 words from the inputted 
          list(s) as a first attempt at making a list of 7,776 words, iterating if necessary.

      --print-rand <PRINT_RAND>
          Just before printing generated list, cut list down to a set number of words. 
          Can accept expressions in the form of base**exponent (helpful for generating 
          diceware lists). Cuts are done randomly

      --print-first <PRINT_FIRST>
          Just before printing generated list, cut list down to a set number of words. Can 
          accept expressions in the form of base**exponent (helpful for generating diceware lists). 
          Words are selected from the beginning of processed list, and before it is sorted alphabetically

  -m, --minimum-word-length <MINIMUM_LENGTH>
          Set minimum word length

  -M, --maximum-word-length <MAXIMUM_LENGTH>
          Set maximum word length

  -e, --minimum-edit-distance <MINIMUM_EDIT_DISTANCE>
          Set minimum edit distance between words, which can reduce the cost of typos when entering words

  -x, --shared-prefix-length <MAXIMUM_SHARED_PREFIX_LENGTH>
          Set number of leading characters to get to a unique prefix, which can aid auto-complete 
          functionality. Setting this value to say, 4, means that knowing the first 4 characters of any 
          word on the generated list is enough to know which word it is

      --skip-rows-start <SKIP_ROWS_START>
          Skip first number of lines from inputted files. Useful for dealing with headers 
          like from PGP signatures

      --skip-rows-end <SKIP_ROWS_END>
          Skip last number of lines from inputted files. Useful for dealing with footers 
          like from PGP signatures

  -r, --reject <REJECT_LIST>
          Path(s) for optional list of words to reject. Can accept multiple files

  -a, --approve <APPROVED_LIST>
          Path(s) for optional list of approved words. Can accept multiple files

      --homophones <HOMOPHONES_LIST>
          Path(s) to file(s) containing homophone pairs. There must be one pair of homophones 
          per line, separated by a comma (sun,son)

      --dice <DICE_SIDES>
          Print dice roll before word in output. Set number of sides of dice. Must be between 
          2 and 36. Use 6 for normal dice

      --sides-as-base
          When printing dice roll before word in output, print dice values according to the 
          base selected through --dice option. Effectively this means that letters will be 
          used to represent numbers higher than 9. Note that this option also 0-indexes the
          dice values. This setting defaults to `false`, which will 1-indexed dice values,
          and use double-digit numbers when necessary (e.g. 18-03-08)

      --cards
          Print playing card abbreviation next to each word. Strongly recommend only use 
          on lists with lengths that are powers of 26 (26^1, 26^2, 26^3, etc.)

  -o, --output <OUTPUT>
          Path for outputted list file. If none given, generated word list will be printed 
          to terminal

  -f, --force
          Force overwrite of output file if it exists

  -h, --help
          Print help information (use `-h` for a summary)

  -V, --version
          Print version information

Usage examples

tidy --output new_list.txt word_list1.txt word_list2.txt Combines the word lists in word_list1.txt and word_list2.txt, removing whitespace, empty lines, and duplicate words into one list. It sorts this list alphabetically, and then prints this new, combined list to the specified output location, in this case: new_list.txt.
tidy -l -o new_list.txt inputted_word_list.txt Deletes whitespace, removes empty lines and duplicate words from inputted_word_list.txt. Due to the -l flag, it makes all the words lowercase. It sorts this list alphabetically and removes duplicates once again. It then prints this new list to the specified output location, in this case: new_list.txt.
tidy -l inputted_word_list.txt > new_list.txt Alternatively, you can use > to print tidy's output to a file.
tidy -lP -o new_list.txt inputted_word_list.txt Same as above, but the added -P flag removes prefix words from the list. See below for more on prefix words.
tidy -lPi -o new_list.txt inputted_word_list.txt Same as above, but the added -i flag deletes any integers in words. Words with integers in them are not removed, only the integers within them. For example, "11326 agency" becomes "agency".
tidy -lPiO -o new_list.txt inputted_word_list.txt Same as above, but the added -O flag preserves the original order of the list, rather than sort it alphabetically. Note that duplicates and blank lines are still removed.
tidy -I -o new_list.txt inputted_word_list.txt Using the -I flag removes any words with integers from the list. For example, "hello1" would be removed from the list.
tidy -AA -I -o new_list.txt inputted_word_list.txt Adding -AA prints some information about the created list to the terminal.
tidy -l -o new_list.txt -r profane_words.txt inputted_word_list.txt Similar to above, but ensures that none of the words in the profane_words.txt file make it on to the final list that is printed to new_list.txt. The reject list is case sensitive, so you may want to run it through tidy using the -l flag before using it. (You can find lists of profane words here and here.)
tidy -l -o new_list.txt -a approved_words.txt inputted_word_list.txt Similar to above, but ensures that only words in the approved_words.txt file make it on to the final list that is printed to new_list.txt. The approved list is case sensitive. (On Mac and some Linux distributions, /usr/share/dict/words should contain a list of words for spellcheck purposes.)
tidy -l -o new_list.txt --homophones homophone_pairs.txt inputted_word_list.txt Similar to above, but expects homophones_pairs.txt to be a list of homophones pairs separated by a comma ("right,write" then next line: "epic,epoch"). If both words in the pair are on the inputted_word_list, Tidy will remove the second one. If only one of the words in the pair are on the list, Tidy won't remove it. Must be only two words per line.
tidy -lA -m 3 -o new-list.txt inputted_word_list.txt Similar to above, but the -m 3 means new list won't have any words under 3 characters in length. Have Tidy also print some attributes about the new list to the terminal screen.
tidy -z nfkd --locale fr -o bip-0039/french.txt --force bip-0039/french.txt Verify that the BIP-0039 French list is (a) normalized to Unicode Normalization Form Compatibility Decomposition (abbreviated as NFKD) (as per the BIP-0039 specification) and (b) sorted appropriately for the French language (thanks to specifying --locale fr). Locales can also be specified like "en-US" or "es-ES". If a locale is not specified, locale defaults to "en-US" (America!). This locale setting only really affects how the words on the outputted list are sorted, so it's not crucial for users to specify one.
tidy -d t -o just_the_words.txt diceware_list.txt If you've got a diceware list with numbers and a tab before each word, the -d t flag will delete everything up to and including the first tab in each line ("11133 abruptly" becomes "abruptly").
tidy --dice 6 -o diceware_list.txt just_words.txt Add corresponding dice roll numbers to a list with --dice. Can accept dice sides between 2 and 36. Each dice roll and word are separated by a tab.
tidy -P -x 4 --print-rand 7776 --dice 6 --output diceware.txt 1password-2021.txt Make a 7,776-word list from a 1Password (~18k) word list, removing prefix words and guaranteeing 4 characters can auto-complete any word. Lastly, add corresponding 6-sided dice role for each word.
tidy -o d-and-d.txt --dice 20 --print-rand 20**3 wordlist.txt Create an 8,000-word list where each word corresponds to 3 rolls of a 20-sided die (06-07-07 dragon). --print-rand randomly truncates the resulting list to the specified amount -- can accept integers (8000) or informal exponent notation (20**3).
tidy -d s --whittle-to 7776 -PlL -m 3 -M 12 --dice 6 -o wiki-diceware.txt ~/Downloads/enwiki-20190320-words-frequency-sorted.txt Carefully make a 7,776-word list by only taking the words needed from the top of ~/Downloads/enwiki-20190320-words-frequency-sorted.txt file. Assumes this file is sorted by word frequencies, with a frequency count after the word, separated by a space (example line: located 1039008). Since we only want to use the most common words, we'll use Tidy's --whittle-to option to only take exactly how many words we need to construct a list of 7,776 words. Note that this may take longer that usual Tidy executions, since Tidy will very likely need to make multiple attempts to make a list that's exactly the requested length. More info on whittle.

List attributes

Tidy can also calculate different attributes about a created list. tidy -AAAA -G t --dry-run eff_long_list.txt prints:

Attributes of new list
----------------------
List length               : 7776 words
Mean word length          : 6.99 characters
Length of shortest word   : 3 characters (aim)
Length of longest word    : 9 characters (zoologist)
Free of prefix words?     : true
Free of suffix words?     : false
Uniquely decodable?       : true
Entropy per word          : 12.925 bits
Efficiency per character  : 1.849 bits
Assumed entropy per char  : 4.308 bits
Above brute force line?   : true
Above Shannon line?       : false
Shortest edit distance    : 1
Mean edit distance        : 6.858
Longest shared prefix     : 8
Unique character prefix   : 9

Using the --samples flag will print 5 sample passphrases to the terminal. (Note that these sample passphrases should not be used for security purposes, as Tidy has not been audited.)

Pseudorandomly generated sample words
-------------------------------------
departure traitor augmented supremacy device annoying 
steep frigidity wreath barterer tibia reprimand 
creamlike strum snowfall tannery clean protrude 
favorable unlivable vanquish crate sarcastic exclude 
fastness september boasting unbroken battalion sweep

How Tidy counts the length of a word

When counting the length of a word, Tidy counts the number of grapheme clusters in the word. Generally, less common characters like accented letters and emoji all count as 1 grapheme cluster and thus, to Tidy, one character. I believe this better fits with how us humans intuitively count characters in a string/word.

On verbs used

In both Tidy's code and documentation, "remove" means that a word will be removed (e.g. words with integers will be removed from the list), while "delete" means that a word will only be modified (e.g. integers removed from words). Uppercase flags remove words, while lowercase flags delete specified characters. All delete calls and word modifications (like "to lowercase") occur before any remove call.

Installation

Using Rust and cargo (suggested method)

Install Rust if you haven't already
Run: cargo install --git https://github.com/sts10/tidy --branch main

You should then be able to run tidy --help.

Releases

I occasionally build releases of Tidy and upload them to GitHub. Note that most releases contain a binary only suitable for Mac and Linux users. If you'd like to help package Tidy for Windows, let me know.

For Tidy developers

Run all code tests: cargo test

Generate docs: cargo doc --document-private-items --no-deps. Add --open flag to open docs after generation. Locally, docs are printed to ./target/doc/tidy/index.html.

Blog posts related to this project

Read about how Tidy handles Unicode normalization, locales, and alphabetizing words
Read more about the 0.2 version of this project
Read about uniquely decodable codes and "Schlinkert pruning" (introduced in Tidy version 0.2.60)
Read about initial inspiration for the project

Using Tidy with non-English words and/or accented characters

Tidy does its best to work well with all languages. That said, I'm an English speaker and have not tested Tidy with other languages all that much.

There are a few steps you can take to help Tidy produce a good word list in all languages.

If you're using Tidy to work a word list with accented characters, it is highly recommended that you:

have Tidy normalize the Unicode of all characters on the list (e.g. -z nfc or -z nfkd). This will better ensure that there are no duplicate-looking words on the list, which could cause Tidy and others to over-estimate the strength of passphrases generated from the outputted list. Note that if you're passing a reject list file or approved list file to Tidy, you should normalize those lists before using them. For example: tidy -z nfc --locale ES-es -l --force -o profane-spanish-words.txt profane-spanish-words.txt && tidy -z nfc --locale ES-es -r profane-spanish-words.txt -o my-new-spanish-word-list.txt -l a-bunch-of-spanish-words.txt
specify the "locale" of the words on your list (e.g. --locale fr or --locale ES-es). This will ensure that the outputted list is sorted correctly.
if the language you're working with has or may have apostrophes in words, consider using the -q or --straighten option to standardize these characters across all words on the new list.

See this blog post for more. If you find Tidy not performing as expected with non-English words, please open an Issue on this repository with an example.

Using Tidy to remove homophones

If passphrases from your list will ever be spoken out loud, you may want to consider removing homophones -- words that sound alike -- from your list.

I'd say that Tidy offers two ways of dealing with homophones.

Given a pair of homophones, like "sun" and "son":

To ensure you don't have BOTH homophones in your generated list, you'd run tidy with a flag like --homophones ../homophones/homophone-lists/homophones-large-as-pairs.txt (link). This will let either "sun" or "son" on your list but NOT both.
To ensure you have NEITHER of the words in the homophone pair on your generated word list, you'd use the reject words flags: -r ../homophones/homophone-lists/cleaned-as-singles.txt (link). This will remove both "sun" and "son" from your generated list before its outputted.

If you're looking for a relatively long list of English homophones, I'd humbly point you to this other project of mine.

Prefix codes, suffix codes, and uniquely decodable codes

If a word list is "uniquely decodable" that means that words from the list can be combined with a delimiter.

As a brief example, if a list has "boy", "hood", and "boyhood" on it, users who specified they wanted two words worth of randomness (entropy) might end up with "boyhood", which an attacker guessing single words would try. Removing the word "boy", which makes the remaining list uniquely decodable, prevents this possibility from occurring.

To make a list uniquely decodable, Tidy removes words. Tidy offers three (3) distinct procedures to make cuts until a list is uniquely decodable. Users can (1) remove all prefix words, (2) remove all suffix words, or (3) perform a procedure based on the Sardinas–Patterson algorithm that I have named "Schlinkert pruning." You can learn more about uniquely decodable codes and Schlinkert pruning from this blog post.

Tidy can also simply check if a list is uniquely decodable. It does this using the Sardinas–Patterson algorithm. You can do this by passing Tidy four attributes flag (-AAAA).

Whittling

Tidy offers an option --whittle-to. This option should only be used in specific situations -- users generally should prefer --print-rand or --print-first options. The situation where whittling gives an advantage over the print options is when the following conditions are met: (a) the inputted word list is sorted by desirability (e.g. ordered by word frequency) and (b) the user is either removing prefix words (-P), removing suffix words (-S), and/or doing a Schlinkert prune (-K).

To see why whittling is best for this particular situation, see this document.

On maximum shared prefix length

Tidy allows users to set a maximum shared prefix length.

Setting this value to say, 4, means that knowing the first 4 characters of any word on the generated list is sufficient to know which word it is.

On this example generated list where we told Tidy to make the maximum shared prefix length 4 characters, we'd know that if a word starts with "radi", we know it must be the word "radius" (if "radical" had been on the list, Tidy would have removed it).

This is useful if you intend the list to be used by software that uses auto-complete. For example, a user will only have to type the first 4 characters of any word before a program could successfully auto-complete the entire word.

(Note that this setting is distinct from the operation of eliminating prefix words, though can be used in conjunction with that feature.)

Use the attributes flag twice (-AA) to get information about shared prefix length for a generated list. Tidy will print both "Longest shared prefix" and "Unique character prefix" (which is longest shared prefix + 1).

What is "Efficiency per character" and "Assumed entropy per char" and what's the difference?

If we take the entropy per word from a list (log₂(list_length)) and divide it by the average word length of words on the list, we get a value we might call "efficiency per character". This just means that, on average, you get E bits per character typed.

If we take the entropy per word from a list (log₂(list_length)) and divide it by the length of the shortest word on the list, we get a value we might call "assumed entropy per char" (or character).

For example, if we're looking at the EFF long list, we see that it is 7,776-words long, so we'd assume an entropy of log₂7776 or 12.925 bits per word. The average word length is 7.0, so the efficiency is 1.8 bits per character. (I got this definition of "efficiency" from an EFF blog post about their list.) And lastly, the shortest word on the list is three letters long, so we'd divide 12.925 by 3 and get an "assumed entropy per character" of about 4.31 bits per character.

I contend that this "assumed entropy per character" value in particular may be useful when we ask the more theoretical question of "how short should the shortest word on a good word list should be?" There may be an established method for determining what this minimum word length should be, but if there is I don't know about it yet! Here's the math I've worked out on my own.

The "brute force line"

Assuming the list is comprised of 26 unique characters, if the shortest word on a word list is shorter than log₂₆(list_length), there's a possibility that a user generates a passphrase such that the formula of entropy_per_word = log₂(list_length) will overestimate the entropy per word. This is because a brute-force character attack would have fewer guesses to run through than the number of guesses we'd assume given the word list we used to create the passphrase.

As an example, let's say we had a 10,000-word list that contained the one-character word "a" on it. Given that it's 10,000 words, we'd expect each word to add an additional ~13.28 bits of entropy. That would mean a three-word passphrase would give users 39.86 bits of entropy. However! If a user happened to get "a-a-a" as their passphrase, a brute force method shows that entropy to be only 14.10 bits (4.7 * 3 words). Thus we can say that it falls below the "brute force line", a phrase I made up.

To see if a given generated list falls above or below this line, use the -A/--attributes flag.

Maximum word list lengths to clear the Brute Force Line

Formula:

Where S is the length of the shortest word on the list, 26 is the number of letters in the English alphabet, and M is max list length: M = 2^{S * log₂(26)}. Conveniently, this simplifies rather nicely to M = 26^S.

(or in Python: max_word_list_length = 26**shortest_word_length)

shortest word length	max list length
2	676
3	17576
4	456976
5	11881376

An even stricter "line"

If we go by a 1951 Claude Shannon paper, each letter in English actually only gives 2.6 bits of entropy. Users can see if their generated word list falls above this (stricter) line -- which I've dubbed the "Shannon line" -- by using the -A/--attributes flag.

Maximum word list lengths to clear the Shannon Line

Formula:

Where S is the length of the shortest word on the list and M is max list length: 2^{S * 2.6} = M

(or in Python: max_word_list_length = 2**(shortest_word_length*2.6), which, to preserve correct number of significant digits, should be max_word_list_length = 6.1**shortest_word_length)

shortest word length	max list length
2	37
3	226
4	1384
5	8445
6	51520

As you can see, the Shannon line is quite a bit more "strict" than the brute force line.

A separate tool to help you set dice rolls to correspond with your list

A word list of 7,776 words "fits" nicely into 5 6-sided dice rolls. If you'd like some help figuring out how to fit your list to a number of dice rolls, another tool I wrote called Dice Tailor might help.

Language limitations

As a native English speaker, I wrote this program with lists of English (US) words in mind. Unfortunately, I haven't tested it with other languages. If you have ideas for how to make it more usable for other languages, please open an Issue or submit a Pull Request.

What's up with the memchr dependency?

Tidy's function for removing characters on either side of a given delimiter uses a library called memchr, which "provides heavily optimized routines for searching bytes." The optimization gained from using this crate is far from noticeable or necessary for most uses of Tidy -- using Rust's built-in find is not much slower -- but I figured the extra speed was worth the dependency in this case.

See this repo for more information.

To do

Add option to remove suffix words
Add option to remove words that have characters from certain character sets, for example non-ASCII characters
Figure out how to have Tidy read from stdin (See issue #12)
Improve performance of Sardinas-Patterson functions

Appendix A: Where can I find some word lists?

The Electronic Frontier Foundation has published a few word lists for creating diceware passphrases.
- I'm pretty sure password manager BitWarden uses the EFF long list.
- KeePassXC uses the EFF long list with some minor modifications.
- The EFF also has some fandom-inspired lists. They use a space between dice numbers and words, so Tidy can clean up with the -D s option.
- Note: These lists often have a tab between the dice numbers and each word. Tidy can delete the dice numbers easily with something like tidy -D t -o clean_eff.txt eff_large_wordlist.txt or using the -i flag.
I'm pretty sure this is 1Password's word list as of 2021.
- 1Password published a slightly different word list in 2018.
If you're using Linux or MacOS, you've likely got some long lists on your computer. Check /usr/share/dict/words or /usr/share/dict/american-english.
SecureDrop has a few lists, including one of adjectives and one of nouns.
Bitcoin BIPS-0039 (2,048 words) (h/t atoponce)
Monero's word list (1,626 words) (h/t atoponce)
Mnemonicode is another word list optimized for pronunciation. I believe croc, a file transferring tool, uses it.
Magic Wormhole, a tool for transferring files, uses a version of the PGP Word List, which specifically tries to use pairs of words that are phonetically distinct.
A collection of a few Public Domain Word Lists
ulif's "diceware" seems to have collected a few word lists in its Github repo, along with a separate page that explains each of the lists.
dmuth's "diceware" program has a collection of lists (h/t atoponce)
Niceware list (~65,000 words)
Norvig Natural Language Corpus Data has a list of 333,000 commonly used words from the Google Web Trillion Word Corpus, as well as an assortment of other word lists.
Lists used by a program called webpassgen
Original "Reinhold" diceware list created by Arnold Reinhold. Though it has some issues.
- Arnold Reinhold hosts diceware lists in a variety of languages.
simple1024 is a word list with 1024 common English words, an alternative to EFF's short word lists.
Danish wordlists is a "collection of [Danish] wordlists for cracking danish passwords"
r/wordlists subreddit, which seems to have links to a few non-English word lists.
You can also scan GitHub's #wordlists topic

Shameless plug

I've created a few word lists using Tidy.

Appendix B: Tools that seem similar to Tidy

cook: "An overpower[ed] wordlist generator, splitter, merger, finder, saver, create words permutation and combinations, apply different encoding/decoding and everything you need." Written in Go.
duplict: "Remove duplicates from MASSIVE wordlist, without sorting it". Seems to indeed be much faster (10x) than tidy --no-sort for large word lists.

epidemian/tidy