CSV Formatter

CSV Input

Formatted Output

Delimiter:

What Is a CSV Formatter?

CSV (Comma-Separated Values) is a flat text format for tabular data. Raw CSV from exports, APIs, or copy-paste often has inconsistent spacing, mixed delimiters, or messy quoting. A CSV formatter cleans and normalizes the data: consistent delimiters, proper quoting per RFC 4180, and optional empty-line removal.

This tool runs entirely in your browser. Your CSV is parsed and reformatted locally; nothing is sent to a server. Use the delimiter buttons (comma, semicolon, tab) to match your data.

CSV Formatting Examples

Format and clean CSV data. Telecom-themed example:

Example: Subscriber records

Input / Output

Click the Sample button above to load more examples into the editor.

How to Use This Tool

Paste or Upload

Copy your CSV and paste it into the left editor, or click Upload to load a .csv or .txt file. Use Sample for example data with inconsistent formatting.

Choose Delimiter and Options

Select the delimiter (comma, semicolon, or tab) to match your data. Toggle Remove Empty to strip blank lines. The right panel updates automatically.

Copy or Download

Use Copy or Download to get the formatted CSV. For converting CSV to JSON, use CSV to JSON. For validation, use CSV Validator.

How the Formatter Works

The tool parses your CSV according to RFC 4180: fields containing commas, newlines, or double quotes are wrapped in quotes, and internal quotes are escaped by doubling them. The formatter normalizes delimiter usage, applies consistent quoting, and optionally removes blank lines. Processing runs in your browser using JavaScript—no server round-trip. String parsing and regex handle the transformation.

Excel and Google Sheets export CSV with locale-specific delimiters. European locales often use semicolons because comma is the decimal separator. The delimiter buttons let you match your source. For converting formatted CSV to structured data, use CSV to JSON or CSV to XML.

Where CSV Formatting Helps

Database exports from PostgreSQL, MySQL, or SQL Server often produce CSV with inconsistent formatting. Running them through here gives you clean data for re-import, ETL pipelines, or analysis in pandas. Spreadsheet copies pasted from Excel or Google Sheets can have extra spaces or mixed line endings—formatting normalizes them.

API responses that return CSV (e.g., from Postman or curl) may be minified or poorly quoted. Pasting here makes the structure readable. Before converting to JSON for use in web apps, format the CSV first, then use CSV to JSON. For validation before import, run it through the CSV Validator.

It's also useful before sharing CSV with teammates. Formatted CSV in a pull request or ticket is easier to review. Running it through the CSV Validator first can catch quoting errors or inconsistent columns before anyone else sees them.

Frequently Asked Questions

Is my data private?

Yes. Formatting runs in your browser. No data is sent to any server.

Which delimiter should I use?

Comma (,) is standard for US/UK data. Semicolon (;) is common in Europe where comma is the decimal separator. Tab is used in TSV files. Match your source data.

What does Remove Empty do?

It strips blank lines from the output. Useful when your source has extra newlines between rows.

Can I convert CSV to JSON?

Yes. Use CSV to JSON for that. For JSON to CSV, use JSON to CSV.

What's the size limit?

There's no hard limit from the tool. Large files (millions of rows) may slow down the browser. For very large CSV, consider a command-line tool like csvkit or jq with streaming.

Related Tools

For the CSV specification, see RFC 4180. MDN's JSON guide covers related data formats. JSON is often used alongside CSV for API responses.