Split Text Tool
Split text by delimiters, join with custom separators, or export as JSON arrays.
Statistics
Split By
Join With
Options
Wrappers
What is a Delimiter-Based Split Text Tool?
Imagine you have a big block of text (like a grocery list or a paragraph) and you want to break it into small pieces at specific points. Maybe you want to turn a comma-separated list like apple, banana, orange into a vertical list or a JSON array.
A Delimiter-Based Split Text Tool does exactly that. It finds specific "cut points" (like commas, newlines, or custom patterns) and chops your text there instantly. If you need to simply split text into a list of words, check out our Word Splitter Tool. To reverse this process, use the Text Joiner Tool.
Features
Multiple Delimiters
Split by comma, newline, space, pipe, or any custom character.
Regex Support
Use powerful patterns for advanced splitting scenarios.
JSON Export
Convert lists to properly formatted JSON arrays instantly.
Remove Duplicates
Automatically filter out repeated items from your list.
Custom Joiner
Join split items with any delimiter or wrapper you choose.
100% Private
All processing happens in your browser. Zero server uploads.
Common Use Cases
CSV to JSON
Convert comma-separated values into JSON arrays for use in JavaScript, APIs, or databases. Perfect for developers working with data exports.
List Cleaning
Clean up messy lists by removing duplicates, empty lines, or reformatting with consistent delimiters. Great for contact lists or inventory.
Data Extraction
Extract specific data using regex patterns. Pull email addresses, URLs, phone numbers, or any pattern-based data from large text blocks.
Log Parsing
Split log files by timestamp patterns or error codes. Extract specific log entries or organize multi-line logs into structured data.
Example: CSV to JSON Array
Ways to Split (How it works)
- New Line: Splits text whenever a new line starts. Perfect for lists.
- Comma / Space: Splits text specifically at every comma or space.
- Regex (Advanced): Use a special "pattern" to find cuts. For example,
\d+will find any number and split the text there. - Custom Character: Split by any character you define (pipe |, semicolon ;, etc.).
Ways to Join (The Glue)
- New Line: Puts every piece on its own separate line.
- Comma: Glues the pieces back together with commas (ideal for CSVs).
- Wrappers (Prefix/Suffix): Add a symbol before or after every item. Useful for coding (e.g., adding quotes
"item",). - JSON Array: Converts your list into a format that programmers use:
["item1", "item2"].
Frequently Asked Questions
How do I convert a CSV list into a JSON Array?
Easy! Paste your list into the input box. Select 'Comma' as the Split By option. Then, in the 'Join With' section, select 'JSON Array'. The tool will instantly format your list as a valid JavaScript/JSON array like ["item1", "item2", "item3"]. You can copy or download the result immediately.
What is Regex Splitting and how do I use it?
Regex (Regular Expression) allows you to split text based on complex patterns instead of simple characters. For example, using \\d+ will split the text every time it finds one or more numbers. Using [.,!?] splits at any punctuation mark. It's powerful for advanced text processing, data cleaning, and pattern-based extraction. If you're new to regex, start with simple patterns like \\s+ (whitespace) or use the preset options.
Can I remove duplicate items from a list?
Yes! Simply check the 'Remove Duplicates' box in the options panel. The tool will filter out any repeated items from your list automatically, keeping only unique values. This works with any delimiter (commas, newlines, etc.) and is case-sensitive. Perfect for cleaning up contact lists, email addresses, or data exports.
What delimiters are supported?
The tool supports newlines (enter key), commas, semicolons, pipes (|), tabs, spaces, and custom characters you define. You can also use regex patterns for advanced splitting. Simply select from the dropdown or enter your own custom delimiter. Mix and match delimiters in regex mode for maximum flexibility.
How does batch mode work?
Batch mode processes your text line-by-line instead of as one continuous block. Enable it to apply your splitting rules to each line independently. This is useful when you have multiple items (like a list of URLs or product names) and want to split each item's internal structure separately while keeping the list organized.
Is my data safe and private?
Yes, 100% safe. This tool runs entirely in your browser using client-side JavaScript. Nothing you type or paste is ever sent to our servers or stored anywhere. It works completely offline after the page loads, making it secure for sensitive data like customer lists, passwords, API keys, or confidential documents.
Can I upload large files?
Yes! Click the 'Upload' button to load text files (.txt, .md, .csv, .log) directly. The tool can handle files of several megabytes in size. For extremely large files (100MB+), your browser's memory is the only limit. The tool processes everything client-side, so there are no server upload restrictions.
How do I split by multiple delimiters at once?
Use Regex mode and create a pattern like [,;|] to split by commas, semicolons, OR pipes. Or use [\\s,]+ to split by any whitespace or comma. Regex gives you complete control over complex splitting scenarios, like splitting by 'and', 'or', and '&' all at once: (and|or|&).
What's the difference from an equal-parts splitter?
This is a delimiter-based splitter that breaks text at specific characters or patterns (commas, newlines, regex). An equal-parts splitter divides text into chunks of a fixed size (like every 100 characters). Use this tool when your data is already structured with separators. Use an equal-parts splitter for breaking long text into consistent reading blocks or character limits.
Can I export or download the results?
Absolutely! Use the 'Download' button to save results as a .txt file. You can also copy to clipboard with one click. The downloaded file will contain your split/joined text exactly as shown in the output area. For JSON arrays, the file will be properly formatted and ready to use in your code.