About CSV to SQL Converter

Transform your CSV (Comma-Separated Values) files into SQL database schemas and INSERT statements with our free online converter. Whether you're migrating data, setting up test databases, or working with legacy systems, our tool automatically generates both CREATE TABLE (DDL) and INSERT (DML) statements compatible with MySQL, PostgreSQL, MariaDB, and Oracle databases.

How to Use the CSV to SQL Converter

1. Paste or upload your CSV data: Copy your CSV content into the editor, upload a .csv file, or try our sample data to get started.
2. Preview your data: Review the data preview table to ensure your CSV was parsed correctly with the right column headers.
3. Configure database settings: Select your target database (MySQL, PostgreSQL, MariaDB) and optionally specify a custom table name.
4. Adjust advanced options (optional): Customize delimiter, enable auto-increment primary keys, ignore specific columns, or rename fields as needed.
5. Generate SQL: Click "Convert to SQL" to instantly generate CREATE TABLE and INSERT statements ready to run in your database.

Key Features

• Multi-Database Support: Generate SQL for MySQL, PostgreSQL, MariaDB, and Oracle databases
• Large File Handling: Process CSV files of any size directly in your browser
• Auto Type Detection: Intelligent detection of data types (integer, decimal, varchar, text)
• Proper SQL Escaping: Automatic escaping of special characters to prevent SQL injection
• Free, No Signup Required: Use all features without creating an account or paying
• Browser-Based Processing: Your data stays private - all processing happens locally in your browser
• Advanced Customization: Configure delimiters, ignore columns, rename fields, and set primary keys
• Test SQL Instantly: Run generated SQL directly in our online SQL environment

Example: CSV to SQL Conversion

Input CSV:

id,name,email,age,city
1,John Doe,john.doe@example.com,28,New York
2,Jane Smith,jane.smith@example.com,34,Los Angeles
3,Bob Johnson,bob.johnson@example.com,45,Chicago

Generated SQL Output (PostgreSQL):

CREATE TABLE my_table (
    id INTEGER,
    name VARCHAR(64),
    email VARCHAR(64),
    age INTEGER,
    city VARCHAR(64)
);

INSERT INTO my_table (id, name, email, age, city)
VALUES (1, 'John Doe', 'john.doe@example.com', 28, 'New York');

INSERT INTO my_table (id, name, email, age, city)
VALUES (2, 'Jane Smith', 'jane.smith@example.com', 34, 'Los Angeles');

INSERT INTO my_table (id, name, email, age, city)
VALUES (3, 'Bob Johnson', 'bob.johnson@example.com', 45, 'Chicago');

Frequently Asked Questions

Technical Details

Understanding how data types are mapped from CSV to SQL:

• You can specify a column as primary key in Advanced Options
• Primary key type is mapped to integer if value is numeric
• Numeric values are mapped as decimal
• Text values are mapped as:
  • varchar(64) if all rows for that column contain text 64 characters or less
  • text if any row for that column contains text 64 or more characters
• Special characters and quotes are properly escaped to prevent SQL injection vulnerabilities