CSV → INSERT SQL

Paste CSV rows and get back ready-to-run SQL INSERT statements, formatted correctly for MySQL, PostgreSQL, SQLite, or SQL Server — without hand-writing statement syntax for every row.

Manually converting even a modest CSV export into SQL insert statements is exactly the kind of repetitive, error-prone task that’s easy to get subtly wrong at scale — a missed quote around a text value, an unescaped apostrophe in a name, or inconsistent NULL handling for empty cells. This tool handles the conversion mechanically and correctly across hundreds of rows at once.

Paste your CSV data (with or without a header row, toggleable), specify your target table name, and select your SQL dialect, since quoting conventions for identifiers differ between databases (MySQL uses backticks, PostgreSQL and SQL Server use double quotes or brackets). The tool generates a properly escaped, ready-to-run block of INSERT statements, with empty cells correctly converted to SQL NULL rather than an empty string, and text values properly quoted and escaped for special characters.

Frequently asked questions

How does it decide whether a column’s value needs quotes, like a number versus text? 

It infers the type from the CSV values themselves — a column that’s consistently numeric across all rows is generated without quotes, while text-like values are quoted and properly escaped, matching standard SQL syntax expectations.

Does it generate one INSERT statement per row, or one combined multi-row statement? 

Both options are available — many-single-row statements are more portable across older database versions, while a single multi-row INSERT INTO table VALUES (...), (...), (...) statement is more efficient to execute and is supported by all major modern databases, so choose based on your target system.

What happens with a CSV value that contains a comma inside quoted text? 

Standard CSV quoting (a comma-containing value wrapped in double quotes) is parsed correctly and won’t be mistaken for an extra column, following standard CSV parsing rules rather than a naive comma-split.

I actually need to go the opposite direction — I have a SQL INSERT script and need a CSV. 

The SQL INSERT → CSV Generator handles exactly that reverse conversion.