Split string online by delimiter

A string splitter online breaks one block of text into separate tokens wherever a delimiter appears. You might split text by comma to turn a single CSV row into a column of values, split lines online to break a log into events, or divide text online on a pipe character when a config file uses that separator.

Unlike manual find-and-replace, a dedicated text splitter tool applies the same rule to every occurrence instantly. You see how many parts were created, preview the output, and copy it in the format your next step expects — plain lines, JSON, or a JS array literal ready for array split js workflows.

This page mirrors String.split() in JavaScript: the delimiter string is removed from results, and consecutive delimiters can produce empty entries unless you filter them. That alignment makes it easy to prototype data transforms before pasting into Node, Python, SQL, or Power BI.

Use it when you need to split string into array form without opening a REPL, or when a teammate sends a one-line export that should become many spreadsheet rows.

Paste your text into the input panel or click Import file to load a .txt, .csv, .tsv, or .log file. Choose a preset delimiter — comma for split text by comma, newline to split lines online, tab for TSV exports — or switch to Custom and type any separator string.

The output updates live. One per line is best when you want to paste into a single spreadsheet column. JSON array output suits APIs and notebooks. JavaScript array literal matches array split javascript console output so you can paste directly into source code.

Enable Trim each part when values have leading or trailing spaces around delimiters. Enable Remove empty parts when double commas or blank lines should be dropped — the same cleanup you would do after python split with multiple delimiters before importing to a database.

Copy the result with one click. For very large inputs, browser memory is the only limit; split large text file online in sections if the tab feels slow.

Comma splitting is the fastest way to explode a single CSV row into separate fields. Simple exports without quoted commas work well. If fields contain commas inside quotes, naive splitting is not CSV-safe — use a real CSV parser for production data with embedded punctuation.

Tab delimiters often appear in Excel TSV exports and server logs. Semicolon and pipe presets cover European CSV variants and pipe-separated config files. Space splitting helps with loosely separated tokens, though multiple spaces can create empty parts unless you trim and filter.

Newline splitting turns multiline prose into individual lines — useful to split text into paragraphs online when each paragraph is separated by a blank line, or to break server logs into events. Windows files may use \r\n; trim carriage returns if they appear at line ends.

Custom delimiter mode accepts any string — " | ", "::", or a multi-character token from a legacy export. That covers many python split multiple delimiters scenarios one delimiter at a time.

Array split javascript developers reach for String.split() in the console. This tool produces the same token boundaries when you pick the same delimiter and options. Choose JS array literal output to copy a value like ["apple", "banana", "cherry"] without typing quotes yourself.

JSON array output wraps the same tokens in valid JSON — handy for REST payloads, Jest fixtures, and config snippets. Line-per-item output is the most paste-friendly for Excel, Google Sheets, and Notion tables: one token per row in a single column.

In code, split() with a string delimiter does not use regex rules. Splitting with a RegExp can include capture groups in the result array — this UI uses plain string delimiters only, which matches the most common array split js use case.

After splitting, use our Find and Replace tool to clean individual tokens, or reverse the operation by joining with your delimiter in a spreadsheet formula.

The Import file button reads text locally through the browser File API — a lightweight text file splitter with no upload step. Load a .csv row, a .log file, or notes saved from a text file splitter Windows 10 workflow and split immediately in the tab.

This is an online text tools split text workflow: open the page, import, pick a delimiter, copy the result. It does not write multiple files to disk like a desktop text file splitter download utility would; copy line output and save from your editor if you need separate files.

To split large text file into multiple files online without installing software, split by newline or a record delimiter here, copy each section, and save manually — or process the file in chunks if memory is tight. Extremely large archives may still be better handled with a local script.

For PDF content, use our PDF tools to extract text first — split pdf by text is a separate step once plain text is available.

Database and analytics teams often search for delimiter sql server or bigquery split by delimiter patterns when cleaning exports. SQL Server STRING_SPLIT and BigQuery SPLIT functions mirror what this page does in the browser — useful for validating delimiter choice before running warehouse SQL.

PostgreSQL split_part handles one delimiter at a time; split_part multiple delimiters in production usually means nested calls or regexp_split_to_table. Test your separator here on a sample row before writing PL/pgSQL.

Power BI split text by delimiter in Power Query uses a column-by-example flow; power bi split text by delimiter dax with CONTAINSSTRING and SEARCH is another pattern. Paste a sample value here to confirm how many columns you should expect.

In Python, str.split() with one delimiter matches this tool. For python split multiple delimiters in one pass you need re.split() — run sequential splits here with Custom mode, or split once per delimiter type and compare outputs.

Splitting runs with native JavaScript in your browser session. Customer lists, credentials in logs, and internal exports never leave your device. Clear the textarea when finished on shared computers.

Pair with Find and Replace for bulk cleanup after splitting, Case Converter for normalizing tokens, and URL Encoder when split path segments need percent-decoding first.

For joining tokens back together, paste line output into a spreadsheet and use TEXTJOIN, or concatenate in your language of choice with the same delimiter you split on.