Split Text

Split text into chunks with precision

Divide your text by delimiters, character count, line count, or custom patterns. Perfect for processing large documents, data extraction, and content organization.

Input Text

Drop text files here or click to browse

0 characters
Split Settings
Split SettingsBy Delimiter

Use \n for newline, \t for tab, or any custom delimiter

Output Options

Use {n} as placeholder for chunk number (e.g., "Chunk {n}")

Quick Actions

Split Text Output

No output yet. Add text and configure split settings to see results.

How to Split Text

Simple steps to split your text into manageable chunks

1

Enter Your Text

Type or paste the text you want to split, or upload a file

2

Choose Split Method

Select delimiter, character count, line count, or regex pattern

3

Configure Options

Set chunk size, delimiters, and output preferences

4

Get Split Results

Instantly get your text chunks ready for download or copy

Powerful Splitting Features

Advanced text splitting capabilities for every need

Multiple Split Methods

Split by delimiters, character count, line count, or custom regex patterns

Custom Delimiters

Use any character, word, or pattern as a split delimiter including newlines and tabs

Chunk Size Control

Precisely control the size of each chunk with character or line limits

Regex Pattern Support

Advanced pattern matching with regular expression support for complex splits

Empty Chunk Handling

Optionally remove empty chunks or preserve them for structured data

Chunk Numbering

Automatically number your chunks for easy reference and organization

Frequently Asked Questions

What delimiters can I use to split text?

You can use any character or string as a delimiter. Common options include spaces, commas, semicolons, newlines (\n), tabs (\t), or any custom text pattern.

Can I split text by character count instead of delimiters?

Yes, you can split text into equal-sized chunks by specifying the number of characters per chunk. This is useful for creating uniform text segments.

How does regex pattern splitting work?

Regex pattern splitting uses regular expressions to find complex patterns in your text. You can use advanced patterns like email addresses, URLs, dates, or any custom matching criteria.

Can I preserve delimiters in the output?

Yes, you have the option to preserve delimiters in your split results. This is helpful when you need to maintain the original formatting or structure of your text.

What file formats are supported for upload?

You can upload various text file formats including TXT, MD, CSV, LOG, XML, and JSON. The tool will extract the text content and apply your splitting rules.

Is there a limit on text size?

While there's no strict limit on text size, very large files may take longer to process. For optimal performance, consider splitting extremely large files into smaller segments.