Text Transformer refers to a tool or utility used for modifying, formatting, or converting text in various ways. These transformations can help manipulate text for different purposes, such as converting case, formatting for specific environments, or encoding/decoding.
Here are some common text transformations you might want to apply:
Common Text Transformations:
Case Conversion:
Uppercase: Convert all characters in a text to uppercase.
Lowercase: Convert all characters in a text to lowercase.
Title Case: Capitalize the first letter of each word in a text.
Sentence Case: Capitalize only the first letter of the first word in a sentence, leaving the rest in lowercase.
Text Reversal:
Reverse the order of characters in a text or a sentence.
Example: "Hello" → "olleH"
Whitespace Removal:
Remove extra spaces, tabs, or newlines from a text.
Trim spaces: Remove leading and trailing spaces.
Remove extra spaces: Replace multiple spaces with a single space.
Text Encoding and Decoding:
Base64 Encoding/Decoding: Convert text into a Base64 encoded string or decode a Base64 string back to the original text.
URL Encoding/Decoding: Encode text for use in URLs or decode a URL-encoded string to its original form.
Text to HTML Entities:
Convert special characters in a text (like <, >, &, " etc.) into their HTML escape sequences (e.g., <, >, &, ").
Text to Code:
Convert text into a specific coding format, like JSON, CSV, or Markdown, for use in programming or documentation.
Remove/Replace Characters:
Remove or replace specific characters, such as punctuation marks, numbers, or non-alphanumeric characters.
Example: "Hello, World!" → "Hello World" (by removing punctuation).
Word Count:
Count the number of words in a string of text.
Character Count:
Count the number of characters (including spaces) in a string of text.
Text Case Swap:
Swap the case of each letter. Convert uppercase letters to lowercase and vice versa.
Text Encryption/Decryption:
Apply basic encryption or hashing algorithms to a text (like MD5, SHA-1) and later decrypt or validate it.
Remove Duplicates:
Remove duplicate words or lines from a string of text.
Text Highlighting:
Highlight specific words or patterns in a text (e.g., using regular expressions).
Generate Text Patterns:
Generate patterns such as repeating text, random text strings, or shuffled text for various uses (e.g., test data).
Text Replace:
Find specific words or phrases and replace them with others (useful for search-and-replace functionality).
Examples of Text Transformations:
Title Case Transformation:
Original: this is an example text
Transformed: This Is An Example Text
Text Reversal:
Original: Hello World
Transformed: dlroW olleH
Remove Extra Whitespace:
Original: " Hello World "
Transformed: "Hello World"
Base64 Encoding:
Original: "Hello"
Base64 Encoded: "SGVsbG8="
HTML Entities:
Original: "Hello <World> & 'Everyone'"
Transformed: "Hello <World> & 'Everyone'"