Convert CSV to SQL Online

Converting a CSV file to SQL produces a ready-to-run script containing a CREATE TABLE statement and INSERT INTO statements for every row. This is the fastest way to get a flat file into a relational database without configuring an import wizard, writing migration code, or setting up a COPY pipeline. The output is compatible with PostgreSQL, MySQL, SQLite, MariaDB, and any other SQL-standard database.

Common use cases include seeding a development or test database with real-world data, creating a one-off table from a business user's spreadsheet export, documenting a dataset in a format that can recreate the table schema and data from scratch, and building reproducible data fixtures for integration tests. SQL scripts are also useful for version control — commit the script to a repository and reproduce the data at any point.

Column types are inferred from the CSV data: numeric columns get INTEGER or DOUBLE types, date-like strings become DATE or TIMESTAMP, and everything else is VARCHAR. Always review the CREATE TABLE statement before running to verify the inferred types match your requirements. For large files, your database's native COPY (PostgreSQL) or LOAD DATA (MySQL) command is faster for bulk inserts than running thousands of individual INSERT statements.