What is CSV to SQL Converter?

CSV to SQL Converter is a free online tool that transforms your CSV (Comma Separated Values) data into SQL INSERT statements. Simply paste your CSV data, specify the table name, and get ready-to-use SQL statements for database import.

This tool is perfect for developers, database administrators, and anyone who needs to quickly import CSV data into a SQL database without writing manual queries.

Why Use CSV to SQL Converter?

  • Instant Conversion — Transform CSV to SQL in seconds
  • Multiple Delimiters — Support for comma, semicolon, tab, and pipe
  • Data Type Detection — Automatically handles numbers, strings, and NULL values
  • SQL Injection Safe — Properly escapes single quotes in your data
  • No Registration — Free to use with no limits
  • Privacy First — All processing happens in your browser

How to Use

  1. Paste CSV Data — Copy your CSV data into the input area. Make sure the first row contains column headers.
  2. Enter Table Name — Specify the name of your SQL table.
  3. Select Delimiter — Choose the delimiter used in your CSV (comma, semicolon, tab, or pipe).
  4. Generate SQL — Click the button to convert your CSV to INSERT statements.
  5. Copy & Use — Copy the generated SQL and use it in your database client.

Example

Input CSV:

name,email,age
John,john@email.com,25
Jane,jane@email.com,30
Bob,bob@email.com,28

Output SQL:

INSERT INTO users (name, email, age) VALUES ('John', 'john@email.com', 25);
INSERT INTO users (name, email, age) VALUES ('Jane', 'jane@email.com', 30);
INSERT INTO users (name, email, age) VALUES ('Bob', 'bob@email.com', 28);

Data Type Handling

Our tool automatically detects and handles different data types:

  • Numbers — Integers and decimals are inserted without quotes
  • Strings — Text values are wrapped in single quotes with proper escaping
  • Empty Values — Empty cells are converted to NULL
  • Special Characters — Single quotes are properly escaped (e.g., O'Brien becomes O''Brien)

Supported Delimiters

DelimiterUse Case
Comma (,)Standard CSV format
Semicolon (;)European CSV format
TabTSV (Tab Separated Values)
Pipe (|)Legacy systems

Tips for Best Results

  • Include Headers — Always include a header row in your CSV
  • Clean Data — Remove any extra whitespace or formatting
  • Check Delimiter — Make sure you select the correct delimiter
  • Test First — Run a few INSERT statements before importing all data
  • Backup Data — Always backup your database before bulk imports

Common Use Cases

  • Data Migration — Move data from spreadsheets to databases
  • Test Data — Generate test data for development
  • Bulk Imports — Import large datasets efficiently
  • Database Setup — Populate tables with initial data

Frequently Asked Questions

Is my data sent to a server?

No. All conversion happens locally in your browser using JavaScript. Your CSV data never leaves your device, ensuring complete privacy.

Can I convert large CSV files?

Yes, but for very large files (10MB+), you may experience slower performance. Consider splitting large files into smaller batches.

Does this work with all SQL databases?

Yes. The generated SQL uses standard INSERT syntax compatible with MySQL, PostgreSQL, SQL Server, SQLite, and other SQL databases.

How do I handle quoted values?

The tool handles quoted values automatically. If your data contains commas within a field, enclose that field in double quotes.