The CSV to SQL converter transforms CSV data into SQL INSERT statements ready to run against your database. Configure the table name, optionally generate a CREATE TABLE statement, and handle NULL values from empty cells.
SQL output will appear here...
How to Convert CSV to SQL
CSV is the universal data exchange format, but importing CSV data into a database requires SQL INSERT statements. The CSV to SQL converter generates properly quoted, properly formatted INSERT statements from any CSV file.
Step 1: Paste Your CSV
Paste CSV with a header row (column names) as the first line. Set the table name to match your database table. Enable CREATE TABLE to generate the schema definition automatically.
Step 2: Configure Options
Use Bulk INSERT for better performance with large datasets. Enable NULL handling to convert empty CSV cells to SQL NULL values. Copy the output or save it as a .sql file to run against your database.
Frequently Asked Questions
Is this CSV to SQL converter free?
Yes, completely free with no signup. All conversion runs locally in your browser.
What CSV format is expected?
The tool expects standard CSV with a header row (column names) as the first line, followed by data rows. Commas are the default delimiter, and values with commas should be wrapped in double quotes.
Can I generate a CREATE TABLE statement too?
Yes. Enable the 'Include CREATE TABLE' option to generate a CREATE TABLE statement based on the column names from your CSV header row. Column types default to VARCHAR(255).
How are empty cells handled?
Enable the 'Empty cells as NULL' option to convert empty CSV cells to SQL NULL values. When disabled, empty cells are inserted as empty strings.
Can I bulk insert multiple rows at once?
Yes. Enable the 'Bulk INSERT' option to combine all rows into a single INSERT statement with multiple value groups, which is more efficient than individual INSERT statements for large datasets.