Split Text
Input
Chars: 0|Lines: 0
Output
Parts: 0|Longest: 0|Avg: 0
Tool Options
How to split
Split wherever this symbol appears, e.g. ,, |, ;, space.
Output format
Options
What is the Split Text Tool?
The split text tool is a free, browser-based utility that breaks any block of text into smaller pieces. Split a comma-separated list into separate lines, cut a long paragraph into fixed-length chunks, extract words from a sentence, or split by a regular expression — all instantly and privately. No uploads, no servers, and your text never leaves your device.
It is one of the fastest ways to split text online. Instead of editing by hand, paste your input on the left and get clean, organized pieces on the right.
Six Ways to Split Text
- By Delimiter or Symbol: Split wherever a symbol appears — comma, pipe, semicolon, tab, space, or any custom separator (use
\nfor line break and\tfor tab). - By Regular Expression: Use JavaScript regex for powerful, pattern-based splitting such as
\s+for whitespace or[,;|]for multiple delimiters. - By Fixed Length: Divide text into equal-length chunks of a chosen character width — ideal for SMS, tweets, or API payload limits.
- By Number of Chunks: Split the text into a specific count of roughly equal-sized parts.
- By Word: Break the text into individual words separated by whitespace.
- By Line: Split on line breaks to turn multi-line text into discrete entries.
How to Split Text Online
- Paste your text into the input box.
- Choose a split mode — delimiter, regex, length, chunks, word, or line — and set its value.
- Set the output format: pick a separator between parts (newline, comma, space, or custom) and optionally wrap each part with a before/after character, such as quotes for a SQL
IN ('a','b')list. - Optional cleanup: trim parts, remove empty parts, or remove duplicates.
- Copy or download the result, or review the parts count and average length below the output.
Common Use Cases
- Turning JSON arrays or delimited exports into a readable one-item-per-line list.
- Splitting log lines or CSV data by pipe, tab, or whitespace for debugging.
- Chunking long text into fixed-size segments for prompts, tweets, or SMS messages.
- Extracting words from a sentence for keyword analysis or clean-up.
- Wrapping each split part in quotes, brackets, or braces for structured output.
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