Bytelify

SQL to CSV Converter

Convert SQL INSERT statements to CSV, live as you type.

Runs in your browser, nothing sent
sql-to-csv-converter
CSV (2 rows)
id,name,role
1,Ada,Engineer
2,Grace,Engineer

Parses INSERT INTO table (columns) VALUES (...), (...) statements — reads column names from the statement itself, not from a separate CREATE TABLE. Not a full SQL parser: complex expressions inside VALUES (function calls, subqueries) aren't evaluated. Converts live as you type, entirely in your browser.

Need the opposite? SQL to JSON Converter

What is SQL to CSV Converter?

Paste one or more SQL INSERT INTO ... VALUES statements and get a CSV file instantly. Column names are read straight from the statement itself, and multiple value tuples in a single statement each become their own CSV row. It's not a full SQL parser: complex expressions inside VALUES (function calls, subqueries) aren't evaluated, so it works best on literal values (strings, numbers, booleans, NULL) rather than computed ones. Handy for turning a database seed script, a support ticket's data dump, or a migration's INSERT statements into a spreadsheet-friendly CSV without spinning up a real database to run the query. Conversion happens live as you type, with a download button for the resulting file and a live row count so you can confirm every statement parsed. Everything runs entirely in your browser; nothing you paste is sent to a server.

How to Use the SQL to CSV Converter

  1. 1

    Paste the INSERT Statement(s): Enter one or more SQL INSERT INTO ... VALUES statements.

  2. 2

    Read the CSV Result Instantly: The equivalent CSV and a live row count appear automatically as you type.

  3. 3

    Copy or Download: Use the copy button or download the CSV file directly for use in a spreadsheet.

How the Mapping Works

The tool reads the column list out of the INSERT statement itself (the names inside the parentheses right after the table name) and uses those as the CSV header row. Each parenthesized tuple after VALUES becomes one CSV data row, with its values matched positionally to the column list: the first value maps to the first column, and so on. String literals have their surrounding quotes stripped, NULL becomes an empty field, and numbers and booleans are written out as plain text, since CSV has no concept of data types. Everything in a CSV cell is just text.

Example

SQL
Input:
INSERT INTO users (id, name, email) VALUES (1, 'Alice', 'alice@example.com'), (2, 'Bob', 'bob@example.com'), (3, 'Cara', NULL);

Output CSV:
id,name,email
1,Alice,alice@example.com
2,Bob,bob@example.com
3,Cara,

Notice each value tuple becomes its own row, the column names from the INSERT statement become the header, and NULL becomes an empty cell rather than the literal text "NULL".
FAQs

Frequently Asked Questions

Common questions about SQL to CSV Converter.

No, column names come from the INSERT statement's own column list, e.g. INSERT INTO users (id, name) VALUES (...).

Yes. Paste as many statements as you like, and a statement with several comma-separated value tuples (one INSERT, multiple rows) is fully supported too. Each row becomes its own line in the CSV.

This isn't a full SQL parser, so expressions like NOW() or a subquery aren't evaluated. Stick to literal values (strings, numbers, booleans, NULL) for reliable results.

Yes, Bytelify's SQL to CSV Converter is free with no account or sign-up required.

No. The conversion runs entirely client-side in your browser, so nothing you paste is sent anywhere.