How to Convert CSV Data to SQL INSERT Statements

Why Convert CSV to SQL?

CSV (Comma-Separated Values) files are the most common format for exporting data from spreadsheets, databases, and other tools. But when you need to import that data into a SQL database, you need INSERT statements. Manually writing SQL for hundreds or thousands of rows is not practical.

The SQL INSERT Statement

-- Basic INSERT syntax
INSERT INTO table_name (column1, column2, column3)
VALUES ('value1', 'value2', 'value3');

-- Multiple rows
INSERT INTO users (name, email, age)
VALUES
  ('Alice Smith', 'alice@example.com', 28),
  ('Bob Johnson', 'bob@example.com', 34),
  ('Carol White', 'carol@example.com', 22);

Data Type Handling

When converting CSV to SQL, each column's data type matters. Strings need quotes, numbers do not, and NULL values need special handling.

Common Pitfalls

• Forgetting to escape single quotes in string values (O'Brien becomes O''Brien)
• Not handling NULL values (empty CSV cells should become NULL, not empty strings)
• Wrong data type detection (zip codes like 07102 should be strings, not numbers)
• CSV files with different delimiters (semicolons, tabs) need proper parsing
• Character encoding issues with non-ASCII characters

Automate the Conversion

Our free CSV to SQL converter handles all of this automatically. Paste your CSV data and get properly formatted INSERT statements with auto-detected data types, proper escaping, and NULL handling.