Wordlists

Flagship wordlist by the Electronic Frontier Foundation (EFF), designed for use with five dice.

A compact wordlist provided by the Electronic Frontier Foundation, featuring only short words, for use with four dice.

Alternative compact wordlist provided by the Electronic Frontier Foundation, for use with four dice, featuring longer words that may be more memorabl.

The original wordlist for using dice to create passphrases.

Compiled by Arnold G. Reinhold for secure passphrase generation using the Diceware method.

A standardized set of words for the recovery and backup of a bitcoin or cryptocurrency wallets.

A wordlist for use with the SLIP-39 cryptographic protocol, ensuring secure mnemonic phrase

A robust 17,576-word list, ideal for high-security passphrases.

A medium-sized wordlist optimized for entropy efficiency. Suitable for creating secure passphrases with easier entropy calculations.

Alternative to the EFF long list, using Schlinkert pruning for uniquely decodable words, making it practical for Diceware-based passphrases.

Wordlist optimized for input on devices like smart TVs and video game consoles using remotes and controllers.

Wordlist optimized for input on devices like smart TVs and video game consoles using remotes and controllers.

Suggested 1Password replacement list designed to improve the security and usability of passphrases by replacing uncommon words that users often skip, ensuring higher entropy and avoiding auto-correct issues in applications.

Wordlist used by 1Password for generating secure passphrases.

A comprehensive list of offensive and inappropriate words used for filtering, analysis, and content moderation purposes.

7,603 words, 12.892 bits of entropy per word

512 words, 9 bits of entropy per word

A wordlist used for generating mnemonic phrases in the Monero cryptocurrency system, ensuring secure, memorable backups and recovery options for Monero wallets.

1,626 words, 10.667 bits of entropy per word

1,633 words, 10.673 bits of entropy per word

6,210 words, 12.6 bits of entropy per word

A wordlist containing the 10,000 most frequently used English words, useful for various linguistic and computational applications such as natural language processing, text analysis, and machine learning projects.

8,192 words, 13 bits of entropy per word