CSV to SQL Converter

Convert CSV data into SQL CREATE TABLE and INSERT statements with automatic type inference for PostgreSQL, MySQL, and SQLite.

What is CSV to SQL Converter?

This tool converts CSV data into SQL CREATE TABLE and INSERT statements. It automatically infers SQL column types from data patterns, handles different SQL dialects (PostgreSQL, MySQL, SQLite), and generates ready-to-execute SQL code.

How to Use

  1. Set the table name and select your SQL dialect (PostgreSQL, MySQL, or SQLite)
  2. Paste your CSV data (with headers) into the input area
  3. Click "Generate SQL" and copy the output into your database client

Why Use This Tool?

Automatically infer SQL types from CSV data (INTEGER, VARCHAR, BOOLEAN, TIMESTAMP, DECIMAL)
Support for PostgreSQL, MySQL, and SQLite dialects with proper syntax differences
Generate both CREATE TABLE and INSERT statements in one step
Handle quoted CSV fields with commas and special characters
Auto-detect primary key columns (id) with proper auto-increment syntax

Tips & Best Practices

  • The first row must be headers — column names are converted to lowercase with underscores
  • Boolean values (true/false) are properly handled per dialect (BOOLEAN, 1/0 for SQLite)
  • Empty values are converted to NULL in INSERT statements
  • Use the correct dialect to get proper syntax (SERIAL for PostgreSQL, AUTO_INCREMENT for MySQL)

Frequently Asked Questions

How are CSV types mapped to SQL?

Integers → INTEGER, decimals → DECIMAL(10,2), booleans → BOOLEAN (or INTEGER for SQLite), ISO dates → DATE, timestamps → TIMESTAMP/DATETIME, strings → VARCHAR(n) or TEXT. Type inference uses all values in each column to determine the most specific type.

What are the differences between dialects?

PostgreSQL uses SERIAL for auto-increment IDs and TIMESTAMP for dates. MySQL uses AUTO_INCREMENT and DATETIME. SQLite uses INTEGER PRIMARY KEY AUTOINCREMENT and stores dates as TEXT. Boolean handling also differs across dialects.

How are column names handled?

CSV header values are converted to valid SQL column names: spaces become underscores, special characters are removed, and everything is lowercased. For example, "First Name" becomes "first_name".

Can I use this with existing tables?

The generated CREATE TABLE statement is for new tables. If you already have a table, you can copy just the INSERT statements. Make sure the column order and types match your existing table schema.

Is my data sent to a server?

No, all processing happens entirely in your browser. Your CSV data never leaves your device.

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