SQL Insert Generator

Generate SQL INSERT statements from CSV

Loading a spreadsheet export into a database usually means writing repetitive INSERT INTO statements by hand or wiring up an import script. This SQL Insert Generator does it for you in the browser: paste CSV or upload a file, set the destination table name and the tool builds one statement per row using the header as the column list. The data is parsed locally, so customer tables, staging fixtures and seed data never leave your machine or pass through an online converter.

The parser handles quoted fields, embedded commas and line breaks inside cells, so genuine exports work, not just simple comma lists. Each value is escaped safely: text is wrapped in single quotes and any embedded single quote is doubled, which is the standard SQL escaping that keeps the statement valid and reduces the risk of broken inserts. You can optionally keep pure numbers unquoted and turn empty cells into NULL so the generated SQL matches typed columns.

One row per statement or a single batch

Two output styles are available. The first writes an independent INSERT INTO table (cols) VALUES (...); for every row, which is easy to review and safe to run partially. The second produces a single multi-row insert with all value tuples joined together, which executes faster on large datasets. Pick whichever your database and workflow prefer. The column list always comes from the first CSV row, so make sure the header names match the target table columns before running the script.

Review before you run

Generated SQL is a starting point, not a guarantee. Always check a few statements before executing against a real database, especially for date formats, boolean representations and columns that require specific types. If a value should be a function call or a literal like CURRENT_TIMESTAMP, edit the output after generating. Copy the result to your clipboard or download it as a .sql file to run in your database client. Keeping the whole process client-side means you can prepare load scripts for sensitive tables without exposing the underlying rows.