Text Splitter, Joiner & Line Wrapper
Free online text splitter and joiner utility. Split long strings into lists using commas, spaces, or custom symbols, join multiple lines with custom delimiters, repeat text N times, truncate/slice strings, and hard wrap text by character width. 100% private, client-side execution.
Split, Join, Wrap & Truncate Text
Split strings into lists, join items with custom glue, repeat text, or truncate to exact character counts.
Step-by-Step Instructions
Paste Source Text
Enter your raw list, CSV data, concatenated string, or multiline block into the editor.
Set Split Delimiter
Define the delimiter used to divide the text (e.g. newline, comma, space, semicolon, tab, pipe `|`, or custom regex pattern).
Set Join Delimiter & Prefix/Suffix
Specify the replacement joining delimiter and optionally add prefix/suffix wrappers (e.g., wrapping items in quotes `"` for SQL queries).
Copy Transformed Output
Copy the cleanly re-delimited string or batch array for code scripts, spreadsheets, or database queries.
Key Features & Capabilities
- Dual split & join configuration supporting custom strings, regex delimiters, and standard whitespace breaks
- Item wrapper functionality adding quotes, brackets, or custom prefixes/suffixes to each element (e.g. `'item1', 'item2'` for SQL `IN` clauses)
- Whitespace trimming and empty token filtering to sanitize irregular input lists
- Live element counter tracking total tokens split and joined in real time
- Instant client-side transformation capable of processing hundreds of thousands of items without browser freeze
- 100% private in-browser text processing
Frequently Asked Questions
How can I convert a column of items from Excel into a SQL IN clause?
Paste your column of items (split by newline `\n`), set the join delimiter to comma `, `, and add single quotes `'` as prefix and suffix. The tool instantly transforms your vertical list into `'item1', 'item2', 'item3'` ready for SQL database queries.
Can I split text using regular expressions?
Yes. You can use standard regular expressions (such as `\s+`, `[,;]`, or `\t`) to split on complex or irregular multi-character patterns across messy datasets.
How does the tool handle empty rows and trailing whitespace?
You can toggle the 'Trim Whitespace' and 'Filter Empty Items' options to eliminate blank lines, spaces, and empty tokens automatically before joining.
Is there any limit to the amount of data I can split and join?
There are no artificial limits. The browser's native JavaScript string array manipulation handles datasets containing tens of thousands of rows in under a second.
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