Free CSV to SQL Converter Online – Generate INSERT & CREATE TABLE Statements | TrenTyx

trentyx@local:~/dev-utilities/csv-to-sql $ run csv-to-sql_

Convert CSV into executable SQL INSERT & CREATE TABLE statements. Auto-detect data types, dialect-aware quoting, multi-row VALUES. 100% client-side.

SQL Dialect

Target Table Name

Delimiter

First row is header Include CREATE TABLE

INSERT Statement Style

Empty Cell Behavior

Primary Key

Duplicate Handling

Ambiguous Date Order

Rows per INSERT (batch)

IF NOT EXISTS DROP TABLE first

Wrap in transaction Auto NOT NULL

Text "NULL" / "\N" / "N/A" → SQL NULL

input.csv

output.sql

Paste CSV data on the left and click Generate SQL to see the result here.

DETECTED COLUMN SCHEMA & TYPE OVERRIDES

#	use	Original CSV Header	Sanitized SQL Column	Data Type	empty	unique	Sample Value Preview

Why Convert CSV to SQL?

CSV files are the standard format for exporting spreadsheet data, but importing raw spreadsheets into relational databases like MySQL, PostgreSQL, SQLite, or SQL Server requires formatted CREATE TABLE and INSERT INTO statements. This converter automatically inspects all rows in your dataset to detect data types (Integers, Decimals, Dates, Booleans, Varchars), handles reserved keywords and quote escaping, and generates optimized multi-row SQL insert scripts ready for execution.

Common Use Cases

Migrating spreadsheet data — turn an Excel/Google Sheets CSV export into ready-to-run INSERT statements.
Seeding a new database — generate both CREATE TABLE and INSERT statements from sample data for local development.
Switching SQL dialects — convert a dataset into the correct quoting/escaping style for MySQL, PostgreSQL, SQLite, or SQL Server.
Bulk importing data without a GUI tool — generate a ready-to-paste SQL script when your database admin tool lacks CSV import.

Frequently Asked Questions

How does this tool detect column data types?

It scans every value in each column to infer whether it's an Integer, Decimal, Date, Boolean, or text (Varchar), then picks the most appropriate SQL type and length for the generated CREATE TABLE statement.

Does it handle commas and quotes inside CSV values?

Yes. The converter correctly parses quoted fields containing commas, and escapes single quotes and reserved keywords so the generated SQL runs without syntax errors.

Which SQL dialects are supported?

MySQL, PostgreSQL, SQLite, and SQL Server — each with its own correct identifier quoting style and data type names.

Can I convert very large CSV files?

Yes, since processing happens entirely in your browser. Performance depends on your device's memory for very large files (tens of thousands of rows).

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