Humanizr/Humanizer

Features

• Case Conversion Utilities - Transforms strings between different coding formats like PascalCase and snake_case.
• Natural Language Manipulators - Provides a specialized toolkit for transforming the grammatical form of technical identifiers and numeric values into human-readable text.
• Natural Language Formatters - Transforms numbers, dates, and time durations into human-readable words and relative descriptions.
• Singularization Rules - Transforms plural nouns into their singular forms while accounting for irregular English words.
• Duration Formatters - Converts time durations into human-friendly strings with configurable precision.
• Internationalization and Localization - Implements culture-specific rules for ordinals, grammatical gender, and date formatting.
• Noun Number Transformers - Combines numbers with correctly pluralized nouns to format quantities in natural language.
• Numeric and Date Formatting - Translates date values into ordinal word formats that match regional cultural norms.
• Date and Time Utilities - Provides .NET extensions to transform timestamps and durations into relative descriptions.
• Relative Date Formatting - Generates relative time descriptions such as yesterday or 2 hours ago.
• Static Dictionary Lookups - Stores irregular pluralization and singularization rules in fixed datasets to handle linguistic exceptions.
• String Manipulation Utilities - Offers general purpose functions for altering string casing and transforming technical identifiers into natural language sentences.
• Pluralization Rules - Transforms singular nouns into plural forms while handling irregular and uncountable English words.
• Number-to-Word Converters - Transforms numeric values into full word representations while accounting for grammatical gender and culture.
• String Manipulators - Provides utilities for formatting and transforming technical strings into readable text and vice versa.
• Culture-Specific Data Mapping - Implements culture-aware data mapping to ensure grammatically correct translations across different languages.
• Localization Utilities - Offers a set of .NET tools for formatting ordinals, dates, and numbers according to cultural rules.
• Collection Formatters - Formats lists of objects into naturally punctuated strings using custom separators.
• Text Processing Utilities - Manages pluralization, singularization, and smart truncation for natural sounding lists and labels.
• Data Size Converters - Transforms raw byte counts into readable storage strings and parses them back.
• Enum Label Mappings - Uses reflection to map enumeration members to their custom human-readable description attributes.
• Fluent Date Processing - Provides a fluent syntax for manipulating dates and times using natural language extensions.
• Data Representation Utilities - Converts byte sizes and metric numerals into readable shorthand and parses them back.
• Clock Notation Converters - Transforms time values into readable clock descriptions such as half past two or noon.
• Extension Methods - Provides a fluent API by leveraging .NET extension methods to add functionality to existing types.
• Fluent Interfaces - Employs a fluent interface design allowing multiple transformation operations to be chained in a single statement.
• Metric Numeral Formatting - Changes numbers into abbreviated metric notation like 1.23k and parses them back into numeric values.
• Identifier Generators - Converts human-friendly sentences back into PascalCase programming identifiers for use in code.
• Symmetry-Based Parsing - Provides inverse logic to convert human-readable strings back into their original technical identifiers.
• Roman Numeral Converters - Translates integers into Roman numeral strings and converts them back into integers.
• Metadata Parsing - Inspects assembly attributes on enumeration members to extract custom human-readable descriptions.
• Rule-Based Pattern Matching - Employs conditional string patterns to identify and transform coding conventions and numeric formats.
• Rule-Based String Parsing - Uses a series of conditional pattern matches to identify and transform specific coding conventions.
• Ordinal Formatters - Converts integers into ordinal strings while supporting culture-specific grammatical gender.
• Word-to-Number Parsers - Parses English word representations of numbers back into standard numeric data types.
• Content Format Transformers - Applies built-in or custom transformations to change string casing and formatting.
• General Utilities - Manipulation and formatting of strings, dates, and numbers.

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