Humanizer

by Humanizr

Humanizr / Humanizer

Humanizer meets all your .NET needs for manipulating and displaying strings, enums, dates, times, ti...

5.0K Stars 735 Forks Last release: 5 months ago (v2.8.26) Other 2.0K Commits 62 Releases

Available items

No Items, yet!

The developer of this repository has not created any items for sale yet. Need a bug fixed? Help with integration? A different license? Create a request here:

Logo

Humanizer meets all your .NET needs for manipulating and displaying strings, enums, dates, times, timespans, numbers and quantities. It is part of the .NET Foundation, and operates under their code of conduct. It is licensed under the MIT (an OSI approved license).

Join the chat at https://gitter.im/Humanizr/Humanizer

Table of contents

Install

You can install Humanizer as a nuget package:

English only:

Humanizer.Core

All languages:

Humanizer

Humanizer is a .NET Standard Class Library with support for .NET Standard 1.0+ (.Net 4.5+, UWP, Xamarin, and .NET Core).

Also Humanizer symbols are source indexed with SourceLink and are included in the package so you can step through Humanizer code while debugging your code.

For pre-release builds, Azure Artifacts feed is available where you can pull down CI packages from the latest codebase. The feed URL is:

  • Humanizer package in Humanizer feed in Azure Artifacts
    https://pkgs.dev.azure.com/dotnet/Humanizer/_packaging/Humanizer/nuget/v3/index.json

Specify Languages (Optional)

New in Humanizer 2.0 is the option to choose which localization packages you wish to use. You choose which packages based on what NuGet package(s) you install. By default, the main

Humanizer
2.0 package installs all supported languages exactly like it does in 1.x. If you're not sure, then just use the main
Humanizer
package.

Here are the options:

  • All languages: use the main
    Humanizer
    package. This pulls in
    Humanizer.Core
    and all language packages.
  • English: use the
    Humanizer.Core
    package. Only the English language resources will be available
  • Specific languages: Use the language specific packages you'd like. For example for French, use
    Humanizer.Core.fr
    . You can include multiple languages by installing however many language packages you want.

The detailed explanation for how this works is in the comments here.

Features

Humanize String

Humanize
string extensions allow you turn an otherwise computerized string into a more readable human-friendly one. The foundation of this was set in the BDDfy framework where class names, method names and properties are turned into human readable sentences.
"PascalCaseInputStringIsTurnedIntoSentence".Humanize() => "Pascal case input string is turned into sentence"

"Underscored_input_string_is_turned_into_sentence".Humanize() => "Underscored input string is turned into sentence"

"Underscored_input_String_is_turned_INTO_sentence".Humanize() => "Underscored input String is turned INTO sentence"

Note that a string that contains only upper case letters, and consists only of one word, is always treated as an acronym (regardless of its length). To guarantee that any arbitrary string will always be humanized you must use a transform (see

Transform
method below):
// acronyms are left intact
"HTML".Humanize() => "HTML"

// any unbroken upper case string is treated as an acronym "HUMANIZER".Humanize() => "HUMANIZER" "HUMANIZER".Transform(To.LowerCase, To.TitleCase) => "Humanizer"

You may also specify the desired letter casing:

"CanReturnTitleCase".Humanize(LetterCasing.Title) => "Can Return Title Case"

"Can_return_title_Case".Humanize(LetterCasing.Title) => "Can Return Title Case"

"CanReturnLowerCase".Humanize(LetterCasing.LowerCase) => "can return lower case"

"CanHumanizeIntoUpperCase".Humanize(LetterCasing.AllCaps) => "CAN HUMANIZE INTO UPPER CASE"

The

LetterCasing
API and the methods accepting it are legacy from V0.2 era and will be deprecated in the future. Instead of that, you can use
Transform
method explained below.

Dehumanize String

Much like you can humanize a computer friendly into human friendly string you can dehumanize a human friendly string into a computer friendly one:

"Pascal case input string is turned into sentence".Dehumanize() => "PascalCaseInputStringIsTurnedIntoSentence"

Transform String

There is a

Transform
method that supersedes
LetterCasing
,
ApplyCase
and
Humanize
overloads that accept
LetterCasing
. Transform method signature is as follows:
string Transform(this string input, params IStringTransformer[] transformers)

And there are some out of the box implementations of

IStringTransformer
for letter casing:
"Sentence casing".Transform(To.LowerCase) => "sentence casing"
"Sentence casing".Transform(To.SentenceCase) => "Sentence casing"
"Sentence casing".Transform(To.TitleCase) => "Sentence Casing"
"Sentence casing".Transform(To.UpperCase) => "SENTENCE CASING"

LowerCase
is a public static property on
To
class that returns an instance of private
ToLowerCase
class that implements
IStringTransformer
and knows how to turn a string into lower case.

The benefit of using

Transform
and
IStringTransformer
over
ApplyCase
and
LetterCasing
is that
LetterCasing
is an enum and you're limited to use what's in the framework while
IStringTransformer
is an interface you can implement in your codebase once and use it with
Transform
method allowing for easy extension.

Truncate String

You can truncate a

string
using the
Truncate
method:
"Long text to truncate".Truncate(10) => "Long text…"

By default the

'…'
character is used to truncate strings. The advantage of using the
'…'
character instead of
"..."
is that the former only takes a single character and thus allows more text to be shown before truncation. If you want, you can also provide your own truncation string:
"Long text to truncate".Truncate(10, "---") => "Long te---"

The default truncation strategy,

Truncator.FixedLength
, is to truncate the input string to a specific length, including the truncation string length. There are two more truncator strategies available: one for a fixed number of (alpha-numerical) characters and one for a fixed number of words. To use a specific truncator when truncating, the two
Truncate
methods shown in the previous examples all have an overload that allow you to specify the
ITruncator
instance to use for the truncation. Here are examples on how to use the three provided truncators:
"Long text to truncate".Truncate(10, Truncator.FixedLength) => "Long text…"
"Long text to truncate".Truncate(10, "---", Truncator.FixedLength) => "Long te---"

"Long text to truncate".Truncate(6, Truncator.FixedNumberOfCharacters) => "Long t…" "Long text to truncate".Truncate(6, "---", Truncator.FixedNumberOfCharacters) => "Lon---"

"Long text to truncate".Truncate(2, Truncator.FixedNumberOfWords) => "Long text…" "Long text to truncate".Truncate(2, "---", Truncator.FixedNumberOfWords) => "Long text---"

Note that you can also use create your own truncator by implementing the

ITruncator
interface.

There is also an option to choose whether to truncate the string from the beginning (

TruncateFrom.Left
) or the end (
TruncateFrom.Right
). Default is the right as shown in the examples above. The examples below show how to truncate from the beginning of the string:
"Long text to truncate".Truncate(10, Truncator.FixedLength, TruncateFrom.Left) => "… truncate"
"Long text to truncate".Truncate(10, "---", Truncator.FixedLength, TruncateFrom.Left) => "---runcate"

"Long text to truncate".Truncate(10, Truncator.FixedNumberOfCharacters, TruncateFrom.Left) => "…o truncate" "Long text to truncate".Truncate(16, "---", Truncator.FixedNumberOfCharacters, TruncateFrom.Left) => "---ext to truncate"

"Long text to truncate".Truncate(2, Truncator.FixedNumberOfWords, TruncateFrom.Left) => "…to truncate" "Long text to truncate".Truncate(2, "---", Truncator.FixedNumberOfWords, TruncateFrom.Left) => "---to truncate"

Format String

You can format a

string
using the
FormatWith()
method:
"To be formatted -> {0}/{1}.".FormatWith(1, "A") => "To be formatted -> 1/A."

This is an extension method based on

String.Format
, so exact rules applies to it. If
format
is null, it'll throw
ArgumentNullException
. If passed a fewer number for arguments, it'll throw
String.FormatException
exception.

You also can specify the culture to use explicitly as the first parameter for the

FormatWith()
method:
"{0:N2}".FormatWith(new CultureInfo("ru-RU"), 6666.66) => "6 666,66"

If a culture is not specified, current thread's current culture is used.

Humanize Enums

Calling

ToString
directly on enum members usually results in less than ideal output for users. The solution to this is usually to use
DescriptionAttribute
data annotation and then read that at runtime to get a more friendly output. That is a great solution; but more often than not we only need to put some space between words of an enum member - which is what
String.Humanize()
does well. For an enum like:
public enum EnumUnderTest
{
    [Description("Custom description")]
    MemberWithDescriptionAttribute,
    MemberWithoutDescriptionAttribute,
    ALLCAPITALS
}

You will get:

// DescriptionAttribute is honored
EnumUnderTest.MemberWithDescriptionAttribute.Humanize() => "Custom description"

// In the absence of Description attribute string.Humanizer kicks in EnumUnderTest.MemberWithoutDescriptionAttribute.Humanize() => "Member without description attribute"

// Of course you can still apply letter casing EnumUnderTest.MemberWithoutDescriptionAttribute.Humanize().Transform(To.TitleCase) => "Member Without Description Attribute"

You are not limited to

DescriptionAttribute
for custom description. Any attribute applied on enum members with a
string Description
property counts. This is to help with platforms with missing
DescriptionAttribute
and also for allowing subclasses of the
DescriptionAttribute
.

You can even configure the name of the property of attibute to use as description.

Configurator.EnumDescriptionPropertyLocator = p => p.Name == "Info"

If you need to provide localised descriptions you can use

DisplayAttribute
data annotation instead.
public enum EnumUnderTest
{
    [Display(Description = "EnumUnderTest_Member", ResourceType = typeof(Project.Resources))]
    Member
}

You will get:

EnumUnderTest.Member.Humanize() => "content" // from Project.Resources found under "EnumUnderTest_Member" resource key

Hopefully this will help avoid littering enums with unnecessary attributes!

Dehumanize Enums

Dehumanizes a string into the Enum it was originally Humanized from! The API looks like:

public static TTargetEnum DehumanizeTo(this string input)

And the usage is:

"Member without description attribute".DehumanizeTo() => EnumUnderTest.MemberWithoutDescriptionAttribute

And just like the Humanize API it honors the

Description
attribute. You don't have to provide the casing you provided during humanization: it figures it out.

There is also a non-generic counterpart for when the original Enum is not known at compile time:

public static Enum DehumanizeTo(this string input, Type targetEnum, NoMatch onNoMatch = NoMatch.ThrowsException)

which can be used like:

"Member without description attribute".DehumanizeTo(typeof(EnumUnderTest)) => EnumUnderTest.MemberWithoutDescriptionAttribute

By default both methods throw a

NoMatchFoundException
when they cannot match the provided input against the target enum. In the non-generic method you can also ask the method to return null by setting the second optional parameter to
NoMatch.ReturnsNull
.

Humanize DateTime

You can

Humanize
an instance of
DateTime
or
DateTimeOffset
and get back a string telling how far back or forward in time that is:
DateTime.UtcNow.AddHours(-30).Humanize() => "yesterday"
DateTime.UtcNow.AddHours(-2).Humanize() => "2 hours ago"

DateTime.UtcNow.AddHours(30).Humanize() => "tomorrow" DateTime.UtcNow.AddHours(2).Humanize() => "2 hours from now"

DateTimeOffset.UtcNow.AddHours(1).Humanize() => "an hour from now"

Humanizer supports both local and UTC dates as well as dates with offset (

DateTimeOffset
). You could also provide the date you want the input date to be compared against. If null, it will use the current date as comparison base. Also, culture to use can be specified explicitly. If it is not, current thread's current UI culture is used. Here is the API signature:
public static string Humanize(this DateTime input, bool utcDate = true, DateTime? dateToCompareAgainst = null, CultureInfo culture = null)
public static string Humanize(this DateTimeOffset input, DateTimeOffset? dateToCompareAgainst = null, CultureInfo culture = null)

Many localizations are available for this method. Here is a few examples:

// In ar culture
DateTime.UtcNow.AddDays(-1).Humanize() => "أمس"
DateTime.UtcNow.AddDays(-2).Humanize() => "منذ يومين"
DateTime.UtcNow.AddDays(-3).Humanize() => "منذ 3 أيام"
DateTime.UtcNow.AddDays(-11).Humanize() => "منذ 11 يوم"

// In ru-RU culture DateTime.UtcNow.AddMinutes(-1).Humanize() => "минуту назад" DateTime.UtcNow.AddMinutes(-2).Humanize() => "2 минуты назад" DateTime.UtcNow.AddMinutes(-10).Humanize() => "10 минут назад" DateTime.UtcNow.AddMinutes(-21).Humanize() => "21 минуту назад" DateTime.UtcNow.AddMinutes(-22).Humanize() => "22 минуты назад" DateTime.UtcNow.AddMinutes(-40).Humanize() => "40 минут назад"

There are two strategies for

DateTime.Humanize
: the default one as seen above and a precision based one. To use the precision based strategy you need to configure it:
Configurator.DateTimeHumanizeStrategy = new PrecisionDateTimeHumanizeStrategy(precision: .75);
Configurator.DateTimeOffsetHumanizeStrategy = new PrecisionDateTimeOffsetHumanizeStrategy(precision: .75); // configure when humanizing DateTimeOffset

The default precision is set to .75 but you can pass your desired precision too. With precision set to 0.75:

44 seconds => 44 seconds ago/from now
45 seconds => one minute ago/from now
104 seconds => one minute ago/from now
105 seconds => two minutes ago/from now

25 days => a month ago/from now

No dehumanization for dates as

Humanize
is a lossy transformation and the human friendly date is not reversible

Humanize TimeSpan

You can call

Humanize
on a
TimeSpan
to a get human friendly representation for it:
TimeSpan.FromMilliseconds(1).Humanize() => "1 millisecond"
TimeSpan.FromMilliseconds(2).Humanize() => "2 milliseconds"
TimeSpan.FromDays(1).Humanize() => "1 day"
TimeSpan.FromDays(16).Humanize() => "2 weeks"

There is an optional

precision
parameter for
TimeSpan.Humanize
which allows you to specify the precision of the returned value. The default value of
precision
is 1 which means only the largest time unit is returned like you saw in
TimeSpan.FromDays(16).Humanize()
. Here is a few examples of specifying precision:
TimeSpan.FromDays(1).Humanize(precision:2) => "1 day" // no difference when there is only one unit in the provided TimeSpan
TimeSpan.FromDays(16).Humanize(2) => "2 weeks, 2 days"

// the same TimeSpan value with different precision returns different results TimeSpan.FromMilliseconds(1299630020).Humanize() => "2 weeks" TimeSpan.FromMilliseconds(1299630020).Humanize(3) => "2 weeks, 1 day, 1 hour" TimeSpan.FromMilliseconds(1299630020).Humanize(4) => "2 weeks, 1 day, 1 hour, 30 seconds" TimeSpan.FromMilliseconds(1299630020).Humanize(5) => "2 weeks, 1 day, 1 hour, 30 seconds, 20 milliseconds"

By default when using

precision
parameter empty time units are not counted towards the precision of the returned value. If this behavior isn't desired for you, you can use the overloaded
TimeSpan.Humanize
method with
countEmptyUnits
parameter. Leading empty time units never count. Here is an example showing the difference of counting empty units:
TimeSpan.FromMilliseconds(3603001).Humanize(3) => "1 hour, 3 seconds, 1 millisecond"
TimeSpan.FromMilliseconds(3603001).Humanize(3, countEmptyUnits:true) => "1 hour, 3 seconds"

Many localizations are available for this method:

// in de-DE culture
TimeSpan.FromDays(1).Humanize() => "Ein Tag"
TimeSpan.FromDays(2).Humanize() => "2 Tage"

// in sk-SK culture TimeSpan.FromMilliseconds(1).Humanize() => "1 milisekunda" TimeSpan.FromMilliseconds(2).Humanize() => "2 milisekundy" TimeSpan.FromMilliseconds(5).Humanize() => "5 milisekúnd"

Culture to use can be specified explicitly. If it is not, current thread's current UI culture is used. Example:

TimeSpan.FromDays(1).Humanize(culture: "ru-RU") => "один день"

In addition, a minimum unit of time may be specified to avoid rolling down to a smaller unit. For example:

C#
  TimeSpan.FromMilliseconds(122500).Humanize(minUnit: TimeUnit.Second) => "2 minutes, 2 seconds"    // instead of 2 minutes, 2 seconds, 500 milliseconds
  TimeSpan.FromHours(25).Humanize(minUnit: TimeUnit.Day) => "1 Day"   //instead of 1 Day, 1 Hour

In addition, a maximum unit of time may be specified to avoid rolling up to the next largest unit. For example:

C#
TimeSpan.FromDays(7).Humanize(maxUnit: TimeUnit.Day) => "7 days"    // instead of 1 week
TimeSpan.FromMilliseconds(2000).Humanize(maxUnit: TimeUnit.Millisecond) => "2000 milliseconds"    // instead of 2 seconds
The default maxUnit is
TimeUnit.Week
because it gives exact results. You can increase this value to
TimeUnit.Month
or
TimeUnit.Year
which will give you an approximation based on 365.2425 days a year and 30.436875 days a month. Therefore the months are alternating between 30 and 31 days in length and every fourth year is 366 days long.
C#
TimeSpan.FromDays(486).Humanize(maxUnit: TimeUnit.Year, precision: 7) => "1 year, 3 months, 29 days" // One day further is 1 year, 4 month
TimeSpan.FromDays(517).Humanize(maxUnit: TimeUnit.Year, precision: 7) => "1 year, 4 months, 30 days" // This month has 30 days and one day further is 1 year, 5 months

When there are multiple time units, they are combined using the

", "
string:
TimeSpan.FromMilliseconds(1299630020).Humanize(3) => "2 weeks, 1 day, 1 hour"

When

TimeSpan
is zero, the default behavior will return "0" plus whatever the minimum time unit is. However, if you assign
true
to
toWords
when calling
Humanize
, then the method returns "no time". For example:
C#
TimeSpan.Zero.Humanize(1) => "0 milliseconds"
TimeSpan.Zero.Humanize(1, toWords: true) => "no time"
TimeSpan.Zero.Humanize(1, minUnit: Humanizer.Localisation.TimeUnit.Second) => "0 seconds"

Using the

collectionSeparator
parameter, you can specify your own separator string:
TimeSpan.FromMilliseconds(1299630020).Humanize(3, collectionSeparator: " - ") => "2 weeks - 1 day - 1 hour"

It is also possible to use the current culture's collection formatter to combine the time units. To do so, specify

null
as the
collectionSeparator
parameter:
// in en-US culture
TimeSpan.FromMilliseconds(1299630020).Humanize(3, collectionSeparator: null) => "2 weeks, 1 day, and 1 hour"

// in de-DE culture TimeSpan.FromMilliseconds(1299630020).Humanize(3, collectionSeparator: null) => "2 Wochen, Ein Tag und Eine Stunde"

If words are preferred to numbers, a

toWords: true
parameter can be set to convert the numbers in a humanized TimeSpan to words:
C#
TimeSpan.FromMilliseconds(1299630020).Humanize(3, toWords: true) => "two weeks, one day, one hour"
`

Humanize Collections

You can call

Humanize
on any
IEnumerable
to get a nicely formatted string representing the objects in the collection. By default
ToString()
will be called on each item to get its representation but a formatting function may be passed to
Humanize
instead. Additionally, a default separator is provided ("and" in English), but a different separator may be passed into
Humanize
.

For instance:

class SomeClass
{
    public string SomeString;
    public int SomeInt;
    public override string ToString()
    {
        return "Specific String";
    }
}

string FormatSomeClass(SomeClass sc) { return string.Format("SomeObject #{0} - {1}", sc.SomeInt, sc.SomeString); }

var collection = new List { new SomeClass { SomeInt = 1, SomeString = "One" }, new SomeClass { SomeInt = 2, SomeString = "Two" }, new SomeClass { SomeInt = 3, SomeString = "Three" } };

collection.Humanize() // "Specific String, Specific String, and Specific String" collection.Humanize("or") // "Specific String, Specific String, or Specific String" collection.Humanize(FormatSomeClass) // "SomeObject #1 - One, SomeObject #2 - Two, and SomeObject #3 - Three" collection.Humanize(sc => sc.SomeInt.Ordinalize(), "or") // "1st, 2nd, or 3rd"

Items are trimmed and blank (NullOrWhitespace) items are skipped. This results in clean comma punctuation. (If there is a custom formatter function, this applies only to the formatter's output.)

You can provide your own collection formatter by implementing

ICollectionFormatter
and registering it with
Configurator.CollectionFormatters
.

Inflector methods

There are also a few inflector methods:

Pluralize

Pluralize
pluralizes the provided input while taking irregular and uncountable words into consideration:
"Man".Pluralize() => "Men"
"string".Pluralize() => "strings"

Normally you would call

Pluralize
on a singular word but if you're unsure about the singularity of the word you can call the method with the optional
inputIsKnownToBeSingular
argument:
"Men".Pluralize(inputIsKnownToBeSingular: false) => "Men"
"Man".Pluralize(inputIsKnownToBeSingular: false) => "Men"
"string".Pluralize(inputIsKnownToBeSingular: false) => "strings"

The overload of

Pluralize
with
plurality
argument is obsolete and was removed in version 2.0.

Singularize

Singularize
singularizes the provided input while taking irregular and uncountable words into consideration:
"Men".Singularize() => "Man"
"strings".Singularize() => "string"

Normally you would call

Singularize
on a plural word but if you're unsure about the plurality of the word you can call the method with the optional
inputIsKnownToBePlural
argument:
"Men".Singularize(inputIsKnownToBePlural: false) => "Man"
"Man".Singularize(inputIsKnownToBePlural: false) => "Man"
"strings".Singularize(inputIsKnownToBePlural: false) => "string"

The overload of

Singularize
with
plurality
argument is obsolete and was removed in version 2.0.

Adding Words

Sometimes, you may need to add a rule from the singularization/pluralization vocabulary (the examples below are already in the

DefaultVocabulary
used by
Inflector
):
// Adds a word to the vocabulary which cannot easily be pluralized/singularized by RegEx.
// Will match both "salesperson" and "person".
Vocabularies.Default.AddIrregular("person", "people");

// To only match "person" and not "salesperson" you would pass false for the 'matchEnding' parameter. Vocabularies.Default.AddIrregular("person", "people", matchEnding: false);

// Adds an uncountable word to the vocabulary. Will be ignored when plurality is changed: Vocabularies.Default.AddUncountable("fish");

// Adds a rule to the vocabulary that does not follow trivial rules for pluralization: Vocabularies.Default.AddPlural("bus", "buses");

// Adds a rule to the vocabulary that does not follow trivial rules for singularization // (will match both "vertices" -> "vertex" and "indices" -> "index"): Vocabularies.Default.AddSingular("(vert|ind)ices$", "$1ex");

ToQuantity

Many times you want to call

Singularize
and
Pluralize
to prefix a word with a number; e.g. "2 requests", "3 men".
ToQuantity
prefixes the provided word with the number and accordingly pluralizes or singularizes the word:
"case".ToQuantity(0) => "0 cases"
"case".ToQuantity(1) => "1 case"
"case".ToQuantity(5) => "5 cases"
"man".ToQuantity(0) => "0 men"
"man".ToQuantity(1) => "1 man"
"man".ToQuantity(2) => "2 men"

ToQuantity
can figure out whether the input word is singular or plural and will singularize or pluralize as necessary:
"men".ToQuantity(2) => "2 men"
"process".ToQuantity(2) => "2 processes"
"process".ToQuantity(1) => "1 process"
"processes".ToQuantity(2) => "2 processes"
"processes".ToQuantity(1) => "1 process"

You can also pass a second argument,

ShowQuantityAs
, to
ToQuantity
to specify how you want the provided quantity to be outputted. The default value is
ShowQuantityAs.Numeric
which is what we saw above. The other two values are
ShowQuantityAs.Words
and
ShowQuantityAs.None
.
"case".ToQuantity(5, ShowQuantityAs.Words) => "five cases"
"case".ToQuantity(5, ShowQuantityAs.None) => "cases"

There is also an overload that allows you to format the number. You can pass in the format and the culture to be used.

"dollar".ToQuantity(2, "C0", new CultureInfo("en-US")) => "$2 dollars"
"dollar".ToQuantity(2, "C2", new CultureInfo("en-US")) => "$2.00 dollars"
"cases".ToQuantity(12000, "N0") => "12,000 cases"

Ordinalize

Ordinalize
turns a number into an ordinal string used to denote the position in an ordered sequence such as 1st, 2nd, 3rd, 4th:
1.Ordinalize() => "1st"
5.Ordinalize() => "5th"

You can also call

Ordinalize
on a numeric string and achieve the same result:
"21".Ordinalize()
=>
"21st"

Ordinalize
also supports grammatical gender for both forms. You can pass an argument to
Ordinalize
to specify which gender the number should be outputted in. The possible values are
GrammaticalGender.Masculine
,
GrammaticalGender.Feminine
and
GrammaticalGender.Neuter
:
// for Brazilian Portuguese locale
1.Ordinalize(GrammaticalGender.Masculine) => "1º"
1.Ordinalize(GrammaticalGender.Feminine) => "1ª"
1.Ordinalize(GrammaticalGender.Neuter) => "1º"
"2".Ordinalize(GrammaticalGender.Masculine) => "2º"
"2".Ordinalize(GrammaticalGender.Feminine) => "2ª"
"2".Ordinalize(GrammaticalGender.Neuter) => "2º"

Obviously this only applies to some cultures. For others passing gender in or not passing at all doesn't make any difference in the result.

Titleize

Titleize
converts the input words to Title casing; equivalent to
"some title".Humanize(LetterCasing.Title)

Pascalize

Pascalize
converts the input words to UpperCamelCase, also removing underscores and spaces:
"some_title for something".Pascalize() => "SomeTitleForSomething"

Camelize

Camelize
behaves identically to
Pascalize
, except that the first character is lower case:
"some_title for something".Camelize() => "someTitleForSomething"

Underscore

Underscore
separates the input words with underscore:
"SomeTitle".Underscore() => "some_title"

Dasherize & Hyphenate

Dasherize
and
Hyphenate
replace underscores with dashes in the string:
"some_title".Dasherize() => "some-title"
"some_title".Hyphenate() => "some-title"

Kebaberize

Kebaberize
separates the input words with hyphens and all words are converted to lowercase
"SomeText".Kebaberize() => "some-text"

Fluent Date

Humanizer provides a fluent API to deal with

DateTime
and
TimeSpan
as follows:

TimeSpan
methods:
2.Milliseconds() => TimeSpan.FromMilliseconds(2)
2.Seconds() => TimeSpan.FromSeconds(2)
2.Minutes() => TimeSpan.FromMinutes(2)
2.Hours() => TimeSpan.FromHours(2)
2.Days() => TimeSpan.FromDays(2)
2.Weeks() => TimeSpan.FromDays(14)

There are no fluent APIs for month or year as a month could have between 28 to 31 days and a year could be 365 or 366 days.

You could use these methods to, for example, replace

DateTime.Now.AddDays(2).AddHours(3).AddMinutes(-5)

with

DateTime.Now + 2.Days() + 3.Hours() - 5.Minutes()

There are also three categories of fluent methods to deal with

DateTime
:
In.TheYear(2010) // Returns the first of January of 2010
In.January // Returns 1st of January of the current year
In.FebruaryOf(2009) // Returns 1st of February of 2009

In.One.Second // DateTime.UtcNow.AddSeconds(1); In.Two.SecondsFrom(DateTime dateTime) In.Three.Minutes // With corresponding From method In.Three.Hours // With corresponding From method In.Three.Days // With corresponding From method In.Three.Weeks // With corresponding From method In.Three.Months // With corresponding From method In.Three.Years // With corresponding From method

On.January.The4th // Returns 4th of January of the current year On.February.The(12) // Returns 12th of Feb of the current year

and some extension methods:

var someDateTime = new DateTime(2011, 2, 10, 5, 25, 45, 125);

// Returns new DateTime(2008, 2, 10, 5, 25, 45, 125) changing the year to 2008 someDateTime.In(2008)

// Returns new DateTime(2011, 2, 10, 2, 25, 45, 125) changing the hour to 2:25:45.125 someDateTime.At(2)

// Returns new DateTime(2011, 2, 10, 2, 20, 15, 125) changing the time to 2:20:15.125 someDateTime.At(2, 20, 15)

// Returns new DateTime(2011, 2, 10, 12, 0, 0) changing the time to 12:00:00.000 someDateTime.AtNoon()

// Returns new DateTime(2011, 2, 10, 0, 0, 0) changing the time to 00:00:00.000 someDateTime.AtMidnight()

Obviously you could chain the methods too; e.g.

On.November.The13th.In(2010).AtNoon + 5.Minutes()

Number to numbers

Humanizer provides a fluent API that produces (usually big) numbers in a clearer fashion:

1.25.Billions() => 1250000000
3.Hundreds().Thousands() => 300000

Number to words

Humanizer can change numbers to words using the

ToWords
extension:
1.ToWords() => "one"
10.ToWords() => "ten"
11.ToWords() => "eleven"
122.ToWords() => "one hundred and twenty-two"
3501.ToWords() => "three thousand five hundred and one"

You can also pass a second argument,

GrammaticalGender
, to
ToWords
to specify which gender the number should be outputted in. The possible values are
GrammaticalGender.Masculine
,
GrammaticalGender.Feminine
and
GrammaticalGender.Neuter
:
// for Russian locale
1.ToWords(GrammaticalGender.Masculine) => "один"
1.ToWords(GrammaticalGender.Feminine) => "одна"
1.ToWords(GrammaticalGender.Neuter) => "одно"
// for Arabic locale
1.ToWords(GrammaticalGender.Masculine) => "واحد"
1.ToWords(GrammaticalGender.Feminine) => "واحدة"
1.ToWords(GrammaticalGender.Neuter) => "واحد"
(-1).ToWords() => "ناقص واحد"

Obviously this only applies to some cultures. For others passing gender in doesn't make any difference in the result.

Also, culture to use can be specified explicitly. If it is not, current thread's current UI culture is used. Here's an example:

11.ToWords(new CultureInfo("en")) => "eleven"
1.ToWords(GrammaticalGender.Masculine, new CultureInfo("ru")) => "один"

Another overload of the method allow you to pass a bool to remove the "And" that can be added before the last number:

3501.ToWords(false) => "three thousand five hundred one"
102.ToWords(false) => "one hundred two" 

This method can be useful for writing checks for example.

Number to ordinal words

This is kind of mixing

ToWords
with
Ordinalize
. You can call
ToOrdinalWords
on a number to get an ordinal representation of the number in words! For example:
0.ToOrdinalWords() => "zeroth"
1.ToOrdinalWords() => "first"
2.ToOrdinalWords() => "second"
8.ToOrdinalWords() => "eighth"
10.ToOrdinalWords() => "tenth"
11.ToOrdinalWords() => "eleventh"
12.ToOrdinalWords() => "twelfth"
20.ToOrdinalWords() => "twentieth"
21.ToOrdinalWords() => "twenty first"
121.ToOrdinalWords() => "hundred and twenty first"

ToOrdinalWords
also supports grammatical gender. You can pass a second argument to
ToOrdinalWords
to specify the gender of the output. The possible values are
GrammaticalGender.Masculine
,
GrammaticalGender.Feminine
and
GrammaticalGender.Neuter
:
// for Brazilian Portuguese locale
1.ToOrdinalWords(GrammaticalGender.Masculine) => "primeiro"
1.ToOrdinalWords(GrammaticalGender.Feminine) => "primeira"
1.ToOrdinalWords(GrammaticalGender.Neuter) => "primeiro"
2.ToOrdinalWords(GrammaticalGender.Masculine) => "segundo"
2.ToOrdinalWords(GrammaticalGender.Feminine) => "segunda"
2.ToOrdinalWords(GrammaticalGender.Neuter) => "segundo"
// for Arabic locale
1.ToOrdinalWords(GrammaticalGender.Masculine) => "الأول"
1.ToOrdinalWords(GrammaticalGender.Feminine) => "الأولى"
1.ToOrdinalWords(GrammaticalGender.Neuter) => "الأول"
2.ToOrdinalWords(GrammaticalGender.Masculine) => "الثاني"
2.ToOrdinalWords(GrammaticalGender.Feminine) => "الثانية"
2.ToOrdinalWords(GrammaticalGender.Neuter) => "الثاني"

Obviously this only applies to some cultures. For others passing gender in doesn't make any difference in the result.

Also, culture to use can be specified explicitly. If it is not, current thread's current UI culture is used. Here's an example:

10.ToOrdinalWords(new CultureInfo("en-US")) => "tenth"
1.ToOrdinalWords(GrammaticalGender.Masculine, new CulureInfo("pt-BR")) => "primeiro"

DateTime to ordinal words

This is kind of an extension of Ordinalize

C#
// for English UK locale
new DateTime(2015, 1, 1).ToOrdinalWords() => "1st January 2015"
new DateTime(2015, 2, 12).ToOrdinalWords() => "12th February 2015"
new DateTime(2015, 3, 22).ToOrdinalWords() => "22nd March 2015"
// for English US locale
new DateTime(2015, 1, 1).ToOrdinalWords() => "January 1st, 2015"
new DateTime(2015, 2, 12).ToOrdinalWords() => "February 12th, 2015"
new DateTime(2015, 3, 22).ToOrdinalWords() => "March 22nd, 2015"

ToOrdinalWords
also supports grammatical case. You can pass a second argument to
ToOrdinalWords
to specify the case of the output. The possible values are
GrammaticalCase.Nominative
,
GrammaticalCase.Genitive
,
GrammaticalCase.Dative
,
GrammaticalCase.Accusative
,
GrammaticalCase.Instrumental
and
GrammaticalGender.Prepositional
:

Obviously this only applies to some cultures. For others passing case in doesn't make any difference in the result.

Roman numerals

Humanizer can change numbers to Roman numerals using the

ToRoman
extension. The numbers 1 to 10 can be expressed in Roman numerals as follows:
1.ToRoman() => "I"
2.ToRoman() => "II"
3.ToRoman() => "III"
4.ToRoman() => "IV"
5.ToRoman() => "V"
6.ToRoman() => "VI"
7.ToRoman() => "VII"
8.ToRoman() => "VIII"
9.ToRoman() => "IX"
10.ToRoman() => "X"

Also the reverse operation using the

FromRoman
extension.
"I".FromRoman() => 1
"II".FromRoman() => 2
"III".FromRoman() => 3
"IV".FromRoman() => 4
"V".FromRoman() => 5

Note that only integers smaller than 4000 can be converted to Roman numerals.

Metric numerals

Humanizer can change numbers to Metric numerals using the

ToMetric
extension. The numbers 1, 1230 and 0.1 can be expressed in Metric numerals as follows:
1d.ToMetric() => "1"
1230d.ToMetric() => "1.23k"
0.1d.ToMetric() => "100m"

Also the reverse operation using the

FromMetric
extension.
1d.ToMetric() => "1"
1230d.ToMetric() => "1.23k"
0.1d.ToMetric() => "100m"

"1".FromMetric() => 1 "1.23k".FromMetric() => 1230 "100m".FromMetric() => 0.1

ByteSize

Humanizer includes a port of the brilliant ByteSize library. Quite a few changes and additions are made on

ByteSize
to make the interaction with
ByteSize
easier and more consistent with the Humanizer API. Here is a few examples of how you can convert from numbers to byte sizes and between size magnitudes:
var fileSize = (10).Kilobytes();

fileSize.Bits => 81920 fileSize.Bytes => 10240 fileSize.Kilobytes => 10 fileSize.Megabytes => 0.009765625 fileSize.Gigabytes => 9.53674316e-6 fileSize.Terabytes => 9.31322575e-9

There are a few extension methods that allow you to turn a number into a ByteSize instance:

3.Bits();
5.Bytes();
(10.5).Kilobytes();
(2.5).Megabytes();
(10.2).Gigabytes();
(4.7).Terabytes();

You can also add/subtract the values using +/- operators and Add/Subtract methods:

var total = (10).Gigabytes() + (512).Megabytes() - (2.5).Gigabytes();
total.Subtract((2500).Kilobytes()).Add((25).Megabytes());

A

ByteSize
object contains two properties that represent the largest metric prefix symbol and value:
var maxFileSize = (10).Kilobytes();

maxFileSize.LargestWholeNumberSymbol; // "KB" maxFileSize.LargestWholeNumberValue; // 10

If you want a string representation you can call

ToString
or
Humanize
interchangeably on the
ByteSize
instance:
7.Bits().ToString();           // 7 b
8.Bits().ToString();           // 1 B
(.5).Kilobytes().Humanize();   // 512 B
(1000).Kilobytes().ToString(); // 1000 KB
(1024).Kilobytes().Humanize(); // 1 MB
(.5).Gigabytes().Humanize();   // 512 MB
(1024).Gigabytes().ToString(); // 1 TB

You can also optionally provide a format for the expected string representation. The formatter can contain the symbol of the value to display:

b
,
B
,
KB
,
MB
,
GB
,
TB
. The formatter uses the built in
double.ToString
method
with
#.##
as the default format which rounds the number to two decimal places:
var b = (10.505).Kilobytes();

// Default number format is #.## b.ToString("KB"); // 10.52 KB b.Humanize("MB"); // .01 MB b.Humanize("b"); // 86057 b

// Default symbol is the largest metric prefix value >= 1 b.ToString("#.#"); // 10.5 KB

// All valid values of double.ToString(string format) are acceptable b.ToString("0.0000"); // 10.5050 KB b.Humanize("000.00"); // 010.51 KB

// You can include number format and symbols b.ToString("#.#### MB"); // .0103 MB b.Humanize("0.00 GB"); // 0 GB b.Humanize("#.## B"); // 10757.12 B

If you want a string representation with full words you can call

ToFullWords
on the
ByteSize
instance:
7.Bits().ToFullWords();           // 7 bits
8.Bits().ToFullWords();           // 1 byte
(.5).Kilobytes().ToFullWords();   // 512 bytes
(1000).Kilobytes().ToFullWords(); // 1000 kilobytes
(1024).Kilobytes().ToFullWords(); // 1 megabyte
(.5).Gigabytes().ToFullWords();   // 512 megabytes
(1024).Gigabytes().ToFullWords(); // 1 terabyte

There isn't a

Dehumanize
method to turn a string representation back into a
ByteSize
instance; but you can use
Parse
and
TryParse
on
ByteSize
to do that. Like other
TryParse
methods,
ByteSize.TryParse
returns
boolean
value indicating whether or not the parsing was successful. If the value is parsed it is output to the
out
parameter supplied:
ByteSize output;
ByteSize.TryParse("1.5mb", out output);

// Invalid ByteSize.Parse("1.5 b"); // Can't have partial bits

// Valid ByteSize.Parse("5b"); ByteSize.Parse("1.55B"); ByteSize.Parse("1.55KB"); ByteSize.Parse("1.55 kB "); // Spaces are trimmed ByteSize.Parse("1.55 kb"); ByteSize.Parse("1.55 MB"); ByteSize.Parse("1.55 mB"); ByteSize.Parse("1.55 mb"); ByteSize.Parse("1.55 GB"); ByteSize.Parse("1.55 gB"); ByteSize.Parse("1.55 gb"); ByteSize.Parse("1.55 TB"); ByteSize.Parse("1.55 tB"); ByteSize.Parse("1.55 tb");

Finally, if you need to calculate the rate at which a quantity of bytes has been transferred, you can use the

Per
method of
ByteSize
. The
Per
method accepts one argument - the measurement interval for the bytes; this is the amount of time it took to transfer the bytes.

The

Per
method returns a
ByteRate
class which has a
Humanize
method. By default, rates are given in seconds (eg, MB/s). However, if desired, a TimeUnit may be passed to
Humanize
for an alternate interval. Valid intervals are
TimeUnit.Second
,
TimeUnit.Minute
, and
TimeUnit.Hour
. Examples of each interval and example byte rate usage is below.
var size = ByteSize.FromMegabytes(10);
var measurementInterval = TimeSpan.FromSeconds(1);

var text = size.Per(measurementInterval).Humanize(); // 10 MB/s

text = size.Per(measurementInterval).Humanize(TimeUnit.Minute); // 600 MB/min

text = size.Per(measurementInterval).Humanize(TimeUnit.Hour); // 35.15625 GB/hour

You can specify a format for the bytes part of the humanized output:

19854651984.Bytes().Per(1.Seconds()).Humanize("#.##");
// 18.49 GB/s

Heading to words

Humanizer includes methods to change a numeric heading to words. The heading can be a

double
whereas the result will be a string. You can choose whether to return a full representation of the heading (e.g. north, east, south or west), a short representation (e.g. N, E, S, W) or a unicode arrow character (e.g. ↑, →, ↓, ←).
360.ToHeading();
// north
720.ToHeading();
// north

In order to retrieve a short version of the heading you can use the following call:

180.ToHeading(true);
// S
360.ToHeading(true);
// N

Please note that a textual representation has a maximum deviation of 11.25°.

The methods above all have an overload with which you can provide a

CultureInfo
object in order to determine the localized result to return.

To retrieve an arrow representing the heading use the following method:

90.ToHeadingArrow();
// →
225.ToHeadingArrow();
// ↙

The arrow representation of the heading has a maximum deviation of 22.5°.

In order to retrieve a heading based on the short text representation (e.g. N, E, S, W), the following method can be used:

"S".FromShortHeading();
// 180
"SW".FromShortHeading();
// 225

Tupleize

Humanizer can change whole numbers into their 'tuple' using

Tupleize
. For example:
1.Tupleize();
// single
3.Tupleize();
// triple
100.Tupleize();
// centuple

The numbers 1-10, 100 and 1000 will be converted into a 'named' tuple (i.e. "single", "double" etc.). Any other number "n" will be converted to "n-tuple".

Mix this into your framework to simplify your life

This is just a baseline and you can use this to simplify your day to day job. For example, in Asp.Net MVC we keep chucking

Display
attribute on ViewModel properties so
HtmlHelper
can generate correct labels for us; but, just like enums, in vast majority of cases we just need a space between the words in property name - so why not use
"string".Humanize
for that?!

You may find an Asp.Net MVC sample in the code that does that (although the project is excluded from the solution file to make the nuget package available for .Net 3.5 too).

This is achieved using a custom

DataAnnotationsModelMetadataProvider
I called HumanizerMetadataProvider. It is small enough to repeat here; so here we go:
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.ComponentModel.DataAnnotations;
using System.Linq;
using System.Web.Mvc;
using Humanizer;

namespace YourApp { public class HumanizerMetadataProvider : DataAnnotationsModelMetadataProvider { protected override ModelMetadata CreateMetadata( IEnumerable attributes, Type containerType, Func modelAccessor, Type modelType, string propertyName) { var propertyAttributes = attributes.ToList(); var modelMetadata = base.CreateMetadata(propertyAttributes, containerType, modelAccessor, modelType, propertyName);

        if (IsTransformRequired(modelMetadata, propertyAttributes))
            modelMetadata.DisplayName = modelMetadata.PropertyName.Humanize();

        return modelMetadata;
    }

    private static bool IsTransformRequired(ModelMetadata modelMetadata, IList<attribute> propertyAttributes)
    {
        if (string.IsNullOrEmpty(modelMetadata.PropertyName))
            return false;

        if (propertyAttributes.OfType<displaynameattribute>().Any())
            return false;

        if (propertyAttributes.OfType<displayattribute>().Any())
            return false;

        return true;
    }
}

}

This class calls the base class to extract the metadata and then, if required, humanizes the property name. It is checking if the property already has a

DisplayName
or
Display
attribute on it in which case the metadata provider will just honor the attribute and leave the property alone. For other properties it will Humanize the property name. That is all.

Now you need to register this metadata provider with Asp.Net MVC. Make sure you use

System.Web.Mvc.ModelMetadataProviders
, and not
System.Web.ModelBinding.ModelMetadataProviders
:
ModelMetadataProviders.Current = new HumanizerMetadataProvider();

... and now you can replace:

public class RegisterModel
{
    [Display(Name = "User name")]
    public string UserName { get; set; }

[Display(Name = "Email address")]
public string EmailAddress { get; set; }

[Display(Name = "Confirm password")]
public string ConfirmPassword { get; set; }

}

with:

public class RegisterModel
{
    public string UserName { get; set; }
    public string EmailAddress { get; set; }
    public string ConfirmPassword { get; set; }
}

... and the "metadata humanizer" will take care of the rest.

No need to mention that if you want title casing for your labels you can chain the method with

Transform
:
modelMetadata.DisplayName = modelMetadata.PropertyName.Humanize().Transform(To.TitleCase);

Known installation issues and workarounds

Due to a bug in the CLI tools, the main

Humanizer
package and it's language packages will fail to install. As temporary workaround, until that bug is fixed, use
Humanizer.xproj
instead. It contains all of the languages.

Use in ASP.NET 4.x MVC Views

Humanizer is a Portable Class Library. There is currently an issue if you try to use PCL's in an MVC view since the MVC views do not share the same build system as the regular project. You must specify all references in the

web.config
file, including ones the project system normally automatically adds.

If you encounter errors saying that you must add a reference to either

System.Runtime
or
System.Globalization
, this applies to you. The solution is to add the contract references to your
web.config
as listed here. Note that this applies to any PCL you use in an MVC view, not just Humanizer.

How to contribute?

Please see CONTRIBUTING.md.

Continuous Integration from Azure DevOps

Humanizer project is built & tested continuously by Azure DevOps (more details here). That applies to pull requests too. Shortly after you submit a PR you can check the build and test status notification on your PR. Feel free to jump in and contribute some green PRs!

The current build status on the CI server is Build status

Related projects

Below is a list of related open source projects:

Humanizer ReSharper Annotations

If you use ReSharper, annotations for Humanizer are available in the Humanizer.Annotations package, which you can obtain via the ReSharper Extension Manager. These annotations do not yet cover the entire library, but pull requests are always welcome!.

PowerShell Humanizer

PowerShell Humanizer is a PowerShell module that wraps Humanizer.

Humanizer JVM

Humanizer.jvm is an adaptation of the Humanizer framework for .Net which is made for the jvm and is written in Kotlin. Humanizer.jvm meets all your jvm needs for manipulating and displaying strings, enums, dates, times, timespans, numbers and quantities.

Humanizer.JS

Humanizer.JS is a TypeScript port of the Humanizer framework.

Main contributors

License

Humanizer is released under the MIT License. See the bundled LICENSE file for details.

Icon

Icon created by Tyrone Rieschiek

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.