A CSV to SQL INSERT converter transforms comma-separated values (CSV) data into SQL INSERT statements. This allows you to quickly import spreadsheet data, exported records, or any tabular CSV content directly into relational databases like MySQL, PostgreSQL, SQLite, or SQL Server without writing INSERT statements by hand.

This tool provides three NULL handling modes: Empty → NULL converts blank CSV cells to SQL NULL values; Keep Empty preserves empty strings as ''; and "NULL" → NULL treats cells containing the literal word "NULL" (case-insensitive) as SQL NULL. Choose the mode that matches your data's semantics to ensure database integrity.

INSERT adds new rows and fails on duplicate keys. INSERT IGNORE (MySQL/SQLite) silently skips rows that would cause key conflicts. REPLACE (MySQL) deletes the old row and inserts the new one when a key conflict occurs, effectively acting as an upsert. Choose based on your database dialect and whether you need idempotent imports.

Yes! The converter runs entirely in your browser, processing files locally. It handles tens of thousands of rows efficiently. For extremely large datasets (100K+ rows), we recommend using the Batch Size option to split output into manageable multi-row INSERT statements, which are more efficient for database import than single-row statements.

This tool supports comma (,), tab, semicolon (;), and pipe (|) delimiters. Select the appropriate delimiter from the dropdown menu. Tab-separated files (.tsv) and pipe-delimited files are common in enterprise data exports and ETL workflows.

Absolutely. All CSV parsing and SQL generation happens entirely in your browser using client-side JavaScript. Your data never leaves your device, is never uploaded to any server, and is cleared when you close the page. This makes the tool suitable for sensitive or proprietary data.

For optimal conversion: (1) Ensure your CSV uses consistent delimiters throughout; (2) Include a header row with clean column names (letters, numbers, underscores); (3) Wrap fields containing commas or line breaks in double quotes; (4) Use UTF-8 encoding; (5) Remove any trailing empty rows. The built-in preview table helps you verify parsing before generating SQL.

The generated INSERT statements follow standard SQL syntax and are compatible with MySQL, PostgreSQL, SQLite, MariaDB, and SQL Server. The INSERT IGNORE and REPLACE options are MySQL/MariaDB-specific. For PostgreSQL, use standard INSERT with ON CONFLICT clauses for upsert behavior. For SQL Server, standard INSERT statements work natively.