CSV to SQL Converter
Turn CSV rows into safely quoted SQL INSERT statements for PostgreSQL, SQLite or MySQL, preserving cells as text.
Start with your input
Edit the example or replace it with your own text.
Choose your options
These settings are optional. Keep the defaults to get started.
How to use CSV to SQL Converter
- Paste CSV with a unique, non-empty header row.
- Choose the destination table, SQL dialect and delimiter.
- Generate INSERT statements, review them, and execute only against your intended database.
Preserve spreadsheet values during import
All cells are emitted as string values, including numeric-looking identifiers and empty strings. This avoids guessing whether 00123 is a code or a number. Configure destination column types deliberately; an empty cell is not converted to SQL NULL. Quoted delimiters, multiline cells and doubled quotes are supported, and inconsistent row widths are rejected.
Dialect-specific quoting
PostgreSQL and SQLite use double-quoted identifiers; MySQL uses backticks. PostgreSQL escape strings handle backslashes explicitly, and MySQL values use UTF-8 hexadecimal literals to avoid reliance on backslash SQL modes. The table field is one identifier rather than an arbitrary SQL fragment. This tool generates a script but never connects to a database or runs a query.
Example input
name,postal_code Ada,00123 O'Brien,90210
Does it infer SQL column types or create tables?
No. It generates INSERT statements for an existing table. Keeping schema design separate avoids unreliable guesses from small CSV samples.
Is input uploaded?
Processing takes place in your browser. This tool does not send your input or selected files to a conversion API.