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CSV to SQL Converter

Convert CSV to SQL INSERT statements.

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What is a CSV to SQL Converter?

A CSV to SQL converter is a powerful developer utility that takes comma-separated values (CSV) data and seamlessly transforms it into structured SQL INSERT statements ready to be executed against a database. CSV files are incredibly common for data export and exchange because they are plain text, human-readable, and easily manipulated in spreadsheet applications like Microsoft Excel or Google Sheets. However, when you need to bring that data into a relational database management system (RDBMS), manually writing INSERT statements for hundreds or thousands of rows is tedious and error-prone. This is an essential task for developers seeding databases with test data, migrating legacy data from flat files to relational databases, moving content between environments, or populating staging tables during application development. By automating this process, you save hours of manual data entry, reduce the risk of syntax errors, and streamline your database administration workflows.

How to Convert CSV to SQL INSERT Statements

1
Paste CSV Data: Enter your CSV data in the left panel. Ensure your data is well-formatted. The tool intelligently treats the first row as the column header, which it uses to dynamically construct the column list in the resulting INSERT statements. Ensure your headers contain valid characters for SQL identifiers.
2
Set Table Name: Type your target database table name in the "Table name" field at the top. This name will be injected directly into the INSERT INTO `table_name` clause.
3
Copy SQL: The SQL INSERT statements are generated in real-time as you type or paste your data. There's no need to click a submit button. Once you are satisfied with the preview, click the Copy button to quickly grab the SQL and execute it in your favorite database client like DBeaver, TablePlus, or phpMyAdmin.

What Databases is this Compatible With?

The generated SQL INSERT statements use a highly standard ANSI SQL syntax that is broadly compatible with virtually all major relational database systems. This includes MySQL, PostgreSQL, SQLite, Microsoft SQL Server (T-SQL), Oracle, and MariaDB. String values are automatically detected and wrapped in single quotes. Furthermore, special characters within strings, such as internal single quotes, are automatically escaped (e.g., O'Connor becomes O''Connor) to prevent syntax errors and protect against SQL injection vulnerabilities in the generated output. Numeric values and the NULL keyword are intelligently recognized and formatted appropriately without quotes.

Why Use an Online CSV to SQL Tool?

While you could write a custom script in Python, Node.js, or Bash to handle CSV to SQL conversion, using a dedicated online tool is often much faster for one-off tasks. It eliminates the need to set up a development environment, write parsing logic, handle edge cases with quoted values, or debug script errors. Our tool provides a clean, visual interface where you can instantly verify the output before executing it against your database, providing peace of mind and significantly accelerating your workflow.

100% Private and Client-Side

Data privacy is paramount, especially when handling CSV files that might contain sensitive customer information, financial records, or proprietary business data. All conversion runs locally in your browser using pure JavaScript. Your CSV data is processed on your device and is never transmitted to any external server. We do not store, log, or analyze the data you paste into this tool, ensuring complete confidentiality and compliance with data protection standards.

Frequently Asked Questions

What SQL databases are supported?

The generated INSERT statements use standard ANSI SQL with backtick-quoted column names, compatible with MySQL, PostgreSQL, SQLite, MariaDB, and SQL Server.

How are quoted CSV fields handled?

The tool supports RFC 4180 CSV format — fields can be wrapped in double quotes, and embedded double quotes are escaped as two double quotes.

How are NULL values handled?

If a CSV field contains the exact text NULL (case-insensitive), it is output as SQL NULL without quotes.

How are numeric values handled?

Values that are valid integers or decimals are output without quotes. All other values are wrapped in single quotes with internal quotes escaped.

Is my data private?

Yes. All conversion happens locally in your browser using JavaScript. Your CSV data is never sent to any server.