Free Online CSV to SQL

1. Paste CSV with a header row into the input box.
2. Type the destination table name.
3. Toggle Include CREATE TABLE if you also want the table definition.
4. Copy the generated CREATE TABLE and INSERT statements.
5. Adjust column types in the CREATE TABLE before running the script in your database.

Loading a CSV into a relational database usually means writing INSERT statements or configuring a bulk-load command. This converter does the first for you: it parses the CSV (per RFC 4180, so quoted fields with embedded commas are handled), reads the header row as column names, and emits a standard INSERT INTO table (columns) VALUES (...) statement for every data row.

The generated SQL aims for the common subset that runs unchanged across MySQL, PostgreSQL, and SQLite. Numeric-looking values are written bare; everything else is wrapped in single quotes with internal quotes doubled — the standard SQL string escape — so apostrophes in names or addresses do not break the script. Empty cells become NULL. The optional CREATE TABLE statement declares every column as TEXT, a safe default you can retype to INTEGER, DATE, and so on before running it.

Use it to seed a development database, migrate a spreadsheet into a table, or build a repeatable import script. Everything runs in your browser, so the data in the CSV never leaves your machine. For very large files, prefer your database's native bulk loader, which is far faster than thousands of individual INSERTs.