Generate SQL INSERT Statements from CSV Data
Whether you're seeding a development database, migrating data between systems, or populating a test environment, this tool converts CSV rows into ready-to-run SQL INSERT statements. It supports the four most popular SQL dialects with proper quoting and escape rules for each.
The converter auto-detects column types by scanning values: numbers become INT or DECIMAL, ISO dates become DATE or DATETIME, booleans become BOOLEAN, and everything else becomes VARCHAR. You can override any detected type using the column type editor before generating.
Dialect Differences
- MySQL โ Uses backtick identifier quoting, supports batch INSERT with multiple value rows per statement.
- PostgreSQL โ Uses double-quote identifier quoting, outputs SERIAL for auto-increment.
- SQLite โ No quoting needed for simple identifiers; uses TEXT affinity for most types.
- SQL Server โ Uses square bracket identifier quoting, NVARCHAR for string types.
Performance Tips
Use the batch size option to group many rows into a single INSERT statement. A batch of 100-500 rows per statement dramatically outperforms individual single-row inserts, especially over network connections. For very large datasets (millions of rows), consider using LOAD DATA INFILE (MySQL) or COPY (PostgreSQL) directly with the original CSV for maximum performance.