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Uses multiple algorithms to match dictionary words with fuzzy Levenshtein distance, dates, spatial patterns, and sequences, modeling real attacker behavior as described in the Differentiating Features section.

Supports localized feedback in 15+ languages including English, French, German, and Chinese, making it suitable for global applications without extra translation work.

Allows easy addition of custom dictionaries and exclusion lists, such as per-user banned words like names or emails, via the ConfigurationBuilder as shown in the Custom Configuration example.

Implements an algorithm that finds the absolute lowest entropy combination of matches, leading to more accurate strength estimation than older methods, as highlighted in the Differentiating Features.

Includes a Generator class to create secure random passwords or passphrases, useful for temporary access or resets, demonstrated in the Generate Passphrase/Password section.