Gender Prior
Mostly, strongly and very strongly choose progressively higher female or male usage weights. Balanced / mixed keeps profiles with substantial weight on both.
Tags: names, characters, naming, gender prior
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Mostly, strongly and very strongly choose progressively higher female or male usage weights. Balanced / mixed keeps profiles with substantial weight on both.
Tags: names, characters, naming, gender prior
Birth year guides profile selection. The nearest available era may be shown when there is no profile covering that year.
Tags: names, characters, naming, name birth year
Higher commonness choices narrow results to profiles with higher usage weights; the score is not a population percentage.
Tags: names, characters, naming, name commonness
Locale influences the usage profile shown for each name; it does not assign a nationality or background to your character.
Tags: names, characters, naming, name locale
Results show one selected reference profile per name. Scores and missing profiles should be interpreted in the context of the available data.
Tags: names, characters, naming, name results
Name type distinguishes base forms, independent names, diminutives, nicknames and variants in the reference library.
Tags: names, characters, naming, name type
Usage checks saved character names and aliases. It helps avoid collisions but does not scan every mention in manuscript text.
Tags: names, characters, naming, name usage filter
Selecting a book can fill blank locale and birth-year choices from its saved context. Current-use badges still rely on recorded project character names and aliases.
Tags: names, characters, naming, name used scope
Use the library to compare naming options, related forms and existing character names before choosing a name for your story.
Tags: names, characters, naming, names library