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Split Your String

A free web based utility that instantly splits text into multiple pieces. This online tool can be used to split long web addresses, texts, word, and much more. Select a delimiter and start splitting right away!

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Enter Your String

Select Delimiter:

Output

What is String Split Tool?

This tool performs string splitting, which is the separation of a string of characters into multiple strings. You can choose from several ways to split the string, from using a comma between each characters in the string to splitting where there is a space.

How does String Split Tool works?

The method split() allows to break or splits a singular String into multiple Strings, and it returns an array of those Strings, these returned strings are separated by delimiters. We can limit the size of the returned array by passing a limit.

This string splitter tool enables you to split a string in 3 different ways:

1. With exclamation mark (!) as a delimiter - The input string will split where an exclamation mark is found.

2. With Space - The input string will split from all the places where a space is declared.

3. With Characters - The input string will split to highlight each character with a delimiter.

What is a string split?

In programming, string splitting is a method used to split a string into an array of substrings based on a specified delimiter. A delimiter is a character or set of characters that separate substrings. The split method returns an array of substrings and can be used in a variety of programming languages ​​such as Python, Java, and C#. For example, in Python you can use the str.split() method to split a string using the specified delimiter.

Why is the String Splitter tool needed?

This can be useful for extracting information from a string, such as parsing data from a file or network request. The resulting list of substrings can then be iterated over or accessed using an index to extract specific information. Additionally, using the split method to split a string into a list of words can be useful for text processing tasks such as natural language processing, text classification, and text generation.

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