CSV to SQL Converter
Convert your CSV data into SQL INSERT statements
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Convert your CSV data into SQL INSERT statements
Our online CSV to SQL converter makes it easy to transform your spreadsheet data into SQL statements. Follow these simple steps:
SQL (Structured Query Language) is the standard language for managing and manipulating relational databases. It allows you to:
Converting CSV to SQL is essential when you need to import spreadsheet data into a database system, migrate data between systems, or prepare data for web applications and enterprise software.
While CSV is excellent for data exchange and simple storage, it's not designed to function as a true database. Converting CSV to SQL allows you to leverage the strengths of both formats: CSV for data exchange and SQL databases for storage, retrieval, and application integration.
| ID | Name | Join Date | Active | |
|---|---|---|---|---|
| 1 | John Smith | john @example.com | 2023-01-15 | Yes |
| 2 | Jane Doe | jane @example.com | 2023-02-20 | Yes |
| 3 | Bob Johnson | bob @example.com | 2023-03-10 | No |
CREATE TABLE `users` (
`id` INT AUTO_INCREMENT PRIMARY KEY,
`Name` VARCHAR(255),
`Email` VARCHAR(255),
`Join Date` DATE,
`Active` BOOLEAN
);
INSERT INTO `users` (`Name`, `Email`, `Join Date`, `Active`) VALUES ('John Smith', 'john @example.com', '2023-01-15', 1);
INSERT INTO `users` (`Name`, `Email`, `Join Date`, `Active`) VALUES ('Jane Doe', 'jane @example.com', '2023-02-20', 1);
INSERT INTO `users` (`Name`, `Email`, `Join Date`, `Active`) VALUES ('Bob Johnson', 'bob @example.com', '2023-03-10', 0);Transfer data from legacy systems or spreadsheets to modern database platforms like MySQL, PostgreSQL, or SQL Server.
Quickly populate your application's database with initial data during development or testing phases.
Move your CSV data into SQL databases for more powerful querying, reporting, and analysis capabilities.
Integrate CSV data with BI tools that require SQL-compatible data sources for dashboards and reports.
Yes, our CSV to SQL converter is designed with your privacy and security in mind:
While our tool is safe to use, we recommend reviewing the generated SQL before executing it in your production database to ensure it meets your requirements.
Our converter supports standard CSV files with comma-separated values. You can also specify a different delimiter if your file uses tabs, semicolons, or other separators.
Yes, the maximum file size is 10MB to ensure optimal performance and processing time.
Special characters in CSV data are properly escaped in the SQL output to ensure compatibility with SQL syntax and prevent SQL injection vulnerabilities.
The generated SQL is compatible with most SQL database systems including MySQL, PostgreSQL, SQL Server, Oracle, and SQLite.
Yes, you can configure column names and data types to match your specific database requirements before generating the SQL.