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Text & Writing 100% Client-Side · 0 Bytes Sent to Server Instant In-Memory Execution

Convert Comma to Newline

Transform CSV strings, comma-separated IDs, or tag lists into clean, line-by-line vertical entries.

Search, Replace & Removal Engine

Find, Replace & Remove Text

Global search & replace with regex support, plus instant 1-click filters to strip vowels, punctuation, quotes, or diacritics.

97 characters
Cleaned / Replaced Output97 chars

Step-by-Step Instructions

1

Paste Comma-Separated Values

Input your CSV string, list of tags, SKU numbers, database records, or email list into the editor.

2

Configure Parsing Rules

Choose whether to split on standard commas (`,`), handle commas inside quotation marks, trim extra spaces, and filter empty lines.

3

Inspect Vertical Column Preview

Review the converted multiline list with each item positioned neatly on its own individual row.

4

Copy or Download Clean Column

Copy the vertical list to paste into Excel spreadsheets, Google Sheets, Python scripts, or text documents.

Key Features & Capabilities

  • Instantly converts horizontal comma-separated values (CSV) into a vertical multiline list (`\n`)
  • Quote-aware CSV parser preserving commas inside quoted strings (e.g., `"Los Angeles, CA"`) as single entries
  • Automatic whitespace trimmer eliminating leading and trailing spaces from each individual item
  • Empty item filter preventing unwanted blank lines in your output list
  • Real-time item count tracker calculating total elements in both input and output
  • 100% private in-browser string processing with zero server uploads

Frequently Asked Questions

How do I convert a comma-separated list into rows in Excel or Google Sheets?

Paste your comma-delimited string into the tool. It replaces the commas with newline breaks (`\n`). Copy the result and paste directly into any spreadsheet column, where each item automatically fills an individual row.

How does the tool handle commas inside quoted phrases?

The tool features quote-aware parsing adhering to standard RFC 4180 CSV specifications. If an item is enclosed in quotes (e.g., `"Dallas, TX"`), the internal comma is treated as part of the text rather than a splitting delimiter.

Can I convert lists with semicolons or pipes instead of commas?

Yes. You can customize the split delimiter to parse semicolon-separated values (`;`), pipes (`|`), or tab-delimited records.

Is there any limit to the number of items I can convert?

No. The client-side regular expression engine processes datasets containing tens of thousands of items in under a second.

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