CSV to SQL Converter

Actions
Convert
CSV Input
Rows —Cols —Size —
SQL Output

Click Convert to generate SQL output

Lines —Chars —Size —

Convert CSV to SQL Online

The CSV to SQL Converter generates ready-to-use CREATE TABLE and INSERT statements from your CSV data. Automatically detects column types (INTEGER, DECIMAL, TEXT) by scanning your data. Ideal for database migrations, bulk imports, and creating test data.

Key Features

🗄

CREATE TABLE + INSERT

Generates both CREATE TABLE schema and INSERT statements, giving you a complete, ready-to-execute SQL script.

✓

Auto Column Type Detection

Scans your data to auto-detect INTEGER, DECIMAL, and TEXT column types for accurate SQL schema generation.

🔒

100% Private

All conversion runs entirely in your browser. No data is ever sent to a server. Your CSV and SQL stay private.

How to Use

1
Paste or Upload CSVPaste your CSV data into the editor or upload a .csv file.
2
Instant SQL GenerationThe converter generates CREATE TABLE and INSERT statements with auto-detected column types.
3
Copy or DownloadCopy the SQL output to your clipboard or download it as a .sql file.

Common Use Cases

Database Migrations

Convert CSV data exports into SQL scripts for migrating data between databases or creating new tables from spreadsheets.

Bulk Data Import

Generate INSERT statements from large CSV files for bulk loading data into MySQL, PostgreSQL, or SQLite databases.

Test Data Generation

Create SQL scripts from CSV-formatted test datasets for populating development and staging databases.

Schema Prototyping

Quickly generate CREATE TABLE statements from CSV headers to prototype database schemas with auto-detected types.

Frequently Asked Questions

How do I convert CSV to SQL?

Paste your CSV data or upload a .csv file. The converter generates CREATE TABLE and INSERT statements with automatic column type detection.

Does it auto-detect column types?

Yes. The converter scans your data to detect INTEGER, DECIMAL, and TEXT column types automatically for proper SQL schema generation.

Which SQL dialects are supported?

The generated SQL is compatible with MySQL, PostgreSQL, SQLite, and most SQL databases. Standard SQL syntax is used by default.