Split Text

Normalize unstructured strings using custom delimiters or PCRE patterns. Map segments to formatted wrappers for SQL or JSON arrays. Process bulk datasets.

Input Text

Paste the text that you want to split into pieces.

Split Separator Options

Choose how the text should be broken into pieces.

Use a Symbol for Splitting

Use a Regex for Splitting

Use Length for Splitting

Use a Number of Chunks

Input Character

Output Character

Char Before Chunk

Char After Chunk

Split text pieces:

Please configure parameters and execute the action.

About Split Text

Split Text breaks input into pieces in four different ways. You can split by a literal separator, a regular expression, a fixed chunk length, or a chosen number of equally sized chunks. You can also place custom text between chunks and wrap each piece before output.

How It Works

Use the tool in three simple steps:

Paste the text - Add the text that should be split into pieces.
Choose the splitting method - Select a symbol, regex, chunk length, or target number of chunks.
Format the output - Set the output separator or wrappers and click Split Text.

Basic Examples

Split text by a symbol

Input:
fan#tas#tic

Use a Symbol for Splitting:
On
Input Character:
#

Output:
fan
tas
tic

Split text with a regex

Input:
su1per2awe3some

Use a Regex for Splitting:
On
Regex:
\d

Output:
su
per
awe
some

Split into a number of chunks and wrap them

Input:
aviation

Use a Number of Chunks:
On
Number of Chunks:
4
Output Character:
-
Char Before Chunk:
[
Char After Chunk:
]

Output:
[av]-[ia]-[ti]-[on]

Real-World Usage Scenarios

Data Cleaning - Standardizing Delimited Files - Process messy CSV or log files by splitting strings at specific separators. This is essential for professionals migrating legacy database records into modern CRM systems where data fields must be isolated.
SQL Query Preparation - Formatting IN Clauses - Transform a raw list of IDs or names into a formatted SQL array. By using the 'Char Before' and 'Char After' options, you can wrap each item in single quotes and separate them with commas for immediate database execution.
Social Media Management - Thread Segmentation - Break long-form articles into chunks optimized for platforms with character limits. Use the fixed length or chunk count method to ensure content is distributed evenly across multiple posts or threads.
Log Analysis - Extracting Error Patterns - Utilize the Regex splitting mode to isolate timestamps or specific error codes from dense server logs, making it easier to identify recurring technical issues during system audits.

Frequently Asked Questions

How do I split text at every occurrence of a new line?

Use the Regex mode with the pattern \n or \r\n depending on your source text's encoding. This identifies every line break as a point to segment the content.

Can I add custom brackets or quotes to every split piece?

Yes. Use the 'Char Before Chunk' and 'Char After Chunk' fields to wrap your results in symbols like brackets [ ], quotes " ", or HTML tags automatically.

Is there a limit to the length of the input text?

The tool processes text locally in your browser. While it can handle large datasets, performance depends on your device's memory; typically, several megabytes of text are processed instantly.

Does the tool support complex Regular Expressions?

It supports standard JavaScript Regex syntax. You can use patterns like \s+ to split by any whitespace or [0-9] to split at every numeric digit.

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