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Adds a backslash to the following characters: single quote, double quote, backslash, and null character.
The addslashes filter is useful when preparing text for insertion into databases, JSON strings, or other contexts where special characters need to be escaped to prevent syntax errors or security vulnerabilities such as SQL injection.
Inputs:
primary value: The text string to escape
"Let's go"
"Let's go"
"He said "Hello""
"He said \"Hello\""
"C:\Program Files"
"C:\\Program Files"
Converts the first letter of each word to a capital letter
The capitalize filter is useful when formatting names, titles, headings, or any text that follows title case conventions, such as book titles, product names, or section headers in documents.
Inputs:
primary value: The text string to capitalize
"hello world"
"Hello World"
"john smith"
"John Smith"
"THE QUICK BROWN FOX"
"The Quick Brown Fox"
Concatenates two values together
The concat filter is valuable for combining strings, such as joining first and last names, building full addresses, assembling complete URLs, or constructing formatted messages with dynamic values.
Inputs:
primary value: The first string
value: The second string to append to the primary value
"Hello, "
"World!"
" "
"Hello, World!"
"User"
"John"
": "
"User: John"
"https://example.com"
"page.html"
"/"
"https://example.com/page.html"
Returns whether or not the expression is found
The contains filter is useful for checking if a specific word or phrase exists within text, which is essential for search functionality, content filtering, conditional logic based on text content, or validating user input.
Inputs:
primary value: The text to search within
substring: The text to search for
"Hello World"
"World"
true
"apple banana orange"
"cherry"
false
"user@example.com"
"@"
true
Convert the character encoding of the supplied text
The convert_encoding filter is valuable when working with data from different systems that use different character encodings, such as processing international text, handling legacy data, or ensuring compatibility across platforms with different encoding standards.
Inputs:
primary value: The text to convert
from_encoding: The current encoding of the text
to_encoding: The target encoding to convert to
"Café"
"UTF-8"
"ISO-8859-1"
Encoded text (binary)
Binary data
"ISO-8859-1"
"UTF-8"
"Café"
Detect the character encoding of the supplied text
The detect_encoding filter is useful when receiving text from unknown sources, such as uploaded files, API responses, or user input, and you need to determine the encoding before processing to ensure proper handling of special characters and international text.
Inputs:
primary value: The text to analyze
"Hello World"
"ASCII"
"こんにちは"
"UTF-8"
Binary data
"ISO-8859-1"
Returns whether or not the expression is present at the end
The ends_with filter is helpful for validating file extensions, checking URL patterns, verifying if text ends with specific terms (like domain names), or implementing string-based conditions that depend on the ending of text.
Inputs:
primary value: The text to check
suffix: The ending text to look for
"image.jpg"
".jpg"
true
"example.com"
".org"
false
"Hello World"
"World"
true
Converts special characters into their escaped variants. Ex: for tabs and for newlines.
The escape filter is essential when preparing text for environments where special characters need to be represented by escape sequences, such as JSON strings, XML documents, programming code, or any context where raw special characters might cause parsing issues.
Inputs:
primary value: The text to escape
"Line1 Line2"
"Line1\nLine2"
"Tab. Separated"
"Tab\tSeparated"
"Quotes "quoted""
"Quotes \"quoted\""
Convert the supplied text from UTF-8 to its binary form (ISO-8859-1).
The from_utf8 filter is useful when you need to convert UTF-8 encoded text to binary form, which may be necessary for certain legacy systems, binary protocol requirements, or special data transmission formats that expect ISO-8859-1 encoding.
Inputs:
primary value: The UTF-8 encoded text
"Hello World"
Binary representation
"Café"
Binary representation
"こんにちは"
Binary representation
Returns whether or not the case-insensitive expression is found
The icontains filter is valuable for case-insensitive text searches, such as user search features, content filtering without case sensitivity, or form validation where case should not matter in determining if text contains specific terms.
Inputs:
primary value: The text to search within
substring: The case-insensitive text to search for
"Hello World"
"world"
true
"apple banana orange"
"BANANA"
true
"user@EXAMPLE.com"
"example"
true
Returns whether or not the case-insensitive expression is present at the end
The iends_with filter is useful for case-insensitive validation of endings, such as checking file extensions regardless of case, validating domain names, or implementing any string comparison that should ignore case differences at the end of text.
Inputs:
primary value: The text to check
suffix: The case-insensitive ending to look for
"image.JPG"
".jpg"
true
"EXAMPLE.COM"
".com"
true
"Hello world"
"WORLD"
true
Returns the index of the case-insensitive expression or false if it can't be found
The iindex filter is helpful for finding the position of text regardless of case, which is useful for parsing, text processing, or extracting substrings when case sensitivity is not important in determining the starting position.
Inputs:
primary value: The text to search within
substring: The case-insensitive text to locate
"Hello World"
"world"
6
"apple banana orange"
"BANANA"
6
"Hello World"
"xyz"
false
Returns the index of the case-sensitive expression or false if it can't be found
The index filter is essential for finding the exact position of text with case sensitivity, which is important for precise text processing, extracting substrings with exact matches, or implementing search functionality that respects case differences.
Inputs:
primary value: The text to search within
substring: The case-sensitive text to locate
"Hello World"
"World"
6
"Hello World"
"world"
false
"apple banana orange"
"banana"
6
Returns whether or not the case-insensitive expression is present at the beginning
The istarts_with filter is valuable for case-insensitive validation of text beginnings, such as checking prefixes, validating file names, or implementing any string comparison that should ignore case differences at the start of text.
Inputs:
primary value: The text to check
prefix: The case-insensitive beginning to look for
"Hello World"
"hello"
true
"EXAMPLE.com"
"ex"
true
"Hello World"
"WORLD"
false
List support character encodings
The list_encodings filter is useful when you need to see all available character encodings supported by the system, which can help in determining which encodings to use for conversion or when working with internationalization features.
Inputs:
primary value: No input required, can be empty
empty
["UTF-8", "ASCII", "ISO-8859-1", ...] (array of supported encodings)
Trim whitespace or other characters from the left side and return the result
The ltrim filter is helpful for cleaning up text by removing leading whitespace or specific characters, which is common in form data processing, CSV parsing, or any situation where leading characters need to be removed for consistent formatting.
Inputs:
primary value: The text to trim
characters: Optional string of characters to trim (default is whitespace)
" Hello World"
null
"Hello World"
"///path/to/file"
"/"
"path/to/file"
"000123"
"0"
"123"
Parses a query string from a URL into its individual key-value pairs.
The querystring_parse filter is valuable when working with URLs and needing to extract and organize query parameters, such as processing web analytics data, handling form submissions, or working with API requests that include query strings.
Inputs:
primary value: The query string to parse
"name=John&age=30"
{"name": "John", "age": "30"}
"search=apple&sort=price&order=asc"
{"search": "apple", "sort": "price", "order": "asc"}
"id=123&id=456"
{"id": ["123", "456"]}
Return all matches performed by a regular expression on the supplied subject text.
The regex_get_all_matches filter is essential when you need to extract all occurrences of patterns in text, such as finding all email addresses, phone numbers, dates, or any repeated pattern in content for analysis or extraction.
Inputs:
primary value: The regex expression
text: The value to search
"\/[\w.+-]+@[\w-]+\.[\w.-]+/
"Contact: john@example.com, jane@example.com"
[["john@example.com"], ["jane@example.com"]]
"/\d{4}-\d{2}-\d{2}/"
"Dates: 2023-01-15, 2023-02-20"
[["2023-01-15"], ["2023-02-20"]]
"/\d+/"
"No matches here"
[]
Return the first set of matches performed by a regular expression on the supplied subject text.
The regex_get_first_match filter is useful when you only need the first occurrence of a pattern, such as extracting the first URL, email address, or any specific pattern from text when multiple matches are not needed.
Inputs:
primary value: The regex expression
text: The value to search
"/[\w.+-]+@[\w-]+\.[\w.-]+/"
"Contact: john@example.com, jane@example.com"
["john@example.com"]
"/([A-Z]+)-(\d+)-([A-Z]+)/"
"ID: ABC-123-XYZ"
["ABC-123-XYZ", "ABC", "123", "XYZ"]
"/\d+/"
"No matches here"
null
Tests if a regular expression matches the supplied subject text.
The regex_matches filter is valuable for validating text against patterns, such as checking if a string matches a specific format (email, phone number, postal code) or testing if content adheres to certain structural requirements before processing.
Inputs:
primary value: The regex expression
text: The value to check
"/^[\w.+-]+@[\w-]+\.[\w.-]+$/"
"john@example.com"
true
"/^\d{4}-\d{2}-\d{2}$/"
"2023-01-15"
true
"/^\d+$/"
"ABC123"
false
Update the supplied text value to be properly escaped for regular expressions.
The regex_quote filter is helpful when incorporating user-provided text into regular expressions, ensuring special regex characters are escaped to be treated as literals, thus preventing syntax errors or unintended pattern behavior.
Inputs:
primary value: The text to escape for regex use
"Hello (World)"
"Hello \(World\)"
"example.com"
"example\.com"
"$100 + 25%"
"\$100 \+ 25\%"
Perform a regular expression search and replace on the supplied subject text.
The regex_replace filter is essential for advanced text transformation, such as formatting text based on patterns, standardizing formats, cleaning text with complex patterns, or any sophisticated find-and-replace operation that requires pattern matching.
Inputs:
primary value: The text to perform replacements on
pattern: The regular expression pattern to find
replacement: The replacement text
"/\d{10}/"
"Phone: 1234567890"
"XXX-XXX-XXXX"
"Phone: XXX-XXX-XXXX"
"/\d{4}-\d{2}-\d{2}/"
"Date: 2023-01-15"
"YYYY-MM-DD"
"Date: YYYY-MM-DD"
"/\d+/"
"Remove all digits: 123"
""
Replace a text phrase with another
The replace filter is useful for simple text substitutions, such as correcting common spelling errors, replacing deprecated terms, standardizing terminology, or implementing basic find-and-replace functionality.
Inputs:
primary value: The text to modify
search: The text to find
replace: The text to insert instead
"Hello World"
"World"
"Universe"
"Hello Universe"
"color color color"
"color"
"colour"
"colour colour colour"
"I like apples"
"like"
"love"
"I love apples"
Trim whitespace or other characters from the right return the result
The rtrim filter is valuable for cleaning up text by removing trailing whitespace or specific characters, which is useful in form data processing, file path normalization, or any context where trailing characters need to be removed.
Inputs:
primary value: The text to trim
characters: Optional string of characters to trim (default is whitespace)
"Hello World "
null
"Hello World"
"path/to/file///"
"/"
"path/to/file"
"123000"
"0"
"123"
Splits text into an array of text and returns the result
The split filter is essential for breaking text into parts based on a delimiter, which is useful for parsing CSV data, processing delimited lists, extracting elements from structured text, or any operation that requires dividing text into separate components.
Inputs:
primary value: The text to split
delimiter: The character or string that separates the parts
"apple,banana,orange"
","
["apple", "banana", "orange"]
"2023-01-15"
"-"
["2023", "01", "15"]
"Hello World"
" "
["Hello", "World"]
formats text with variable substitution
The sprintf filter is valuable for creating formatted text with placeholders, similar to many programming languages, which allows for precisely formatted numbers, padded text, or complex string compositions with dynamic values.
Use %s for string replacement and %d for integer replacement.
Inputs:
primary value: The format string with placeholders
values: Additional values to insert into the format
"Hello, %s!"
"World"
"Hello, World!"
"ID: 00%d
42
"ID: 0042"
Returns whether or not the expression is present at the beginning
The starts_with filter is useful for checking if text begins with specific characters or words, which is helpful for validating prefixes, checking file types, implementing pattern matching, or identifying text categories based on standard beginnings.
Inputs:
primary value: The text to check
prefix: The beginning text to look for
"Hello World"
"Hello"
true
"example.com"
"http://"
false
"12345"
"123"
true
Removes accents from characters
The strip_accents filter is helpful for normalizing text by removing diacritical marks, which can be useful for search functionality, creating URL slugs, or standardizing text for comparison where accents should be ignored.
Inputs:
primary value: The text with accents to normalize
"café"
"cafe"
"résumé"
"resume"
"Mötley Crüe"
"Motley Crue"
Removes HTML tags from a string
The strip_html filter is essential when you need plain text extracted from HTML content, such as generating text previews, preparing content for search indexing, or sanitizing user input that may contain HTML markup.
Inputs:
primary value: The HTML text to clean
"<a href="#">Click here"
"Click here"
Returns the number of characters
The strlen filter is useful for measuring text length, which is essential for input validation, enforcing character limits, truncating text for display, or any operation that depends on knowing the exact length of a string.
Inputs:
primary value: The text to measure
"Hello World"
11
""
0
"12345"
5
Extracts a section of text
The substr filter is valuable for extracting specific portions of text, such as parsing fixed-width data, truncating content to a maximum length, or isolating specific segments of structured text based on known positions.
Inputs:
primary value: The source text
start: The starting position (0-based index)
length: Optional number of characters to extract (if omitted, extracts to the end)
"Hello World"
6
5
"World"
"Hello World"
0
5
"Hello"
"Hello World"
6
null
"World"
Converts all characters to lower case and returns the result
The to_lower filter is essential for standardizing text case, which is useful for case-insensitive comparisons, normalizing user input, ensuring consistent formatting, or any context where text should be in lowercase regardless of original casing.
Inputs:
primary value: The text to convert
"Hello World"
"hello world"
"EXAMPLE.COM"
"example.com"
"CamelCase"
"camelcase"
Converts all characters to upper case and returns the result
The to_upper filter is useful for standardizing text to uppercase, which is valuable for emphasizing text, creating headings, normalizing codes or identifiers, or any situation where consistent uppercase formatting is required.
Inputs:
primary value: The text to convert
"Hello World"
"HELLO WORLD"
"example.com"
"EXAMPLE.COM"
"CamelCase"
"CAMELCASE"
Convert the supplied text from its binary form (ISO-8859-1) to UTF-8.
The to_utf8 filter is valuable when working with binary data that needs to be converted to UTF-8 text, which is essential for proper display of international characters, working with modern text processing systems, or ensuring compatibility with UTF-8 compliant applications.
Inputs:
primary value: The binary text in ISO-8859-1 encoding
Binary data
"Hello World"
Binary data
"Café"
Binary data
"こんにちは"
Trim whitespace or other characters from both sides and return the result
The trim filter is essential for cleaning text by removing both leading and trailing whitespace or specific characters, which is common in form data processing, text normalization, or any context where surrounding characters need to be removed.
Inputs:
primary value: The text to trim
characters: Optional string of characters to trim (default is whitespace)
" Hello World "
null
"Hello World"
"/path/to/file/"
"/"
"path/to/file"
"===Test==="
"="
"Test"
Parses a URL and returns an updated version with an encoded version of the supplied argument
The url_addarg filter is useful when building or modifying URLs by adding query parameters, which is common in constructing API requests, creating shareable links with parameters, or implementing tracking with UTM parameters.
Inputs:
primary value: The URL to modify
key: The parameter name
value: The parameter value
"https://example.com"
"id"
"123"
"https://example.com?id=123"
"https://example.com?page=1"
"sort"
"asc"
"https://example.com?page=1&sort=asc"
"https://example.com"
"q"
"search term"
"https://example.com?q=search%20term"
Parses a URL and returns an updated version with the supplied argument removed
The url_delarg filter is valuable when cleaning or modifying URLs by removing specific query parameters, which is useful for creating canonical URLs, removing tracking parameters, or updating existing URLs by removing unwanted or expired parameters.
Inputs:
primary value: The URL to modify
key: The parameter name to remove
"https://example.com?id=123"
"id"
"https://example.com"
"https://example.com?page=1&sort=asc"
"sort"
"https://example.com?page=1"
"https://example.com?a=1&b=2&c=3"
"b"
"https://example.com?a=1&c=3"
Gets the argument's value from a URL
The url_getarg filter is essential for extracting specific query parameters from URLs, which is useful when processing incoming requests, analyzing tracking parameters, or working with parameterized links to extract the values they contain.
Inputs:
primary value: The URL to parse
key: The parameter name to extract
"https://example.com?id=123"
"id"
"123"
"https://example.com?page=1&sort=asc"
"sort"
"asc"
"https://example.com?q=search%20term"
"q"
"search term"
Returns the existence of a argument in the URL
The url_hasarg filter is helpful for checking if a specific query parameter exists in a URL, which is valuable for conditional logic based on URL parameters, validating required parameters, or implementing feature toggles based on URL flags.
Inputs:
primary value: The URL to check
key: The parameter name to look for
"https://example.com?id=123"
"id"
true
"https://example.com?page=1&sort=asc"
"filter"
false
"https://example.com?a=1&b=2&c=3"
"b"
true
Parses a URL into its individual components.
The url_parse filter is valuable for breaking down a URL into its structural parts, which is useful for routing logic, domain validation, extracting specific portions of URLs, or any situation requiring access to the individual components of a URL.
Inputs:
primary value: The URL to parse
"https://user:pass@example.com:8080/path?q=term#fragment"
{"scheme": "https", "host": "example.com", "port": 8080, "user": "user", "pass": "pass", "path": "/path", "query": "q=term", "fragment": "fragment"}
"https://example.com/page.html"
{"scheme": "https", "host": "example.com", "path": "/page.html"}
"http://subdomain.example.org:8080"
{"scheme": "http", "host": "subdomain.example.org", "port": 8080}
