Free CSV to SQL Converter
Convert CSV to SQL INSERT statements and CREATE TABLE script — choose MySQL, PostgreSQL, or SQLite dialect.
Drop your CSV file here
or click to browse
How to convert
- 1
Upload your CSV file by dragging it onto the drop zone, or paste your CSV data into the text area.
- 2
Set the table name and choose your SQL dialect (MySQL, PostgreSQL, or SQLite).
- 3
Click the Convert button to generate SQL statements.
- 4
Copy the SQL to your clipboard or click Download to save the .sql file.
Features
- 100% private — data never leaves your browser
- No file uploads to any server
- No signup or account required
- Free with no usage limits
- MySQL, PostgreSQL, and SQLite support
- Configurable table name
- Generates CREATE TABLE and INSERT statements
- Works on any device with a modern browser
What is SQL INSERT?
SQL (Structured Query Language) is the standard language for relational databases. Converting CSV to SQL generates the CREATE TABLE statement and INSERT INTO statements needed to load your data into MySQL, PostgreSQL, SQLite, or any other SQL database. For example, a CSV with columns name,email,role becomes a CREATE TABLE my_table (name TEXT, email TEXT, role TEXT); statement followed by one INSERT INTO my_table (name, email, role) VALUES (...); per row. The three dialects differ in small but breaking ways if you write them by hand: MySQL wraps identifiers in backticks, PostgreSQL uses double quotes, and SQLite generally needs neither — this converter picks the right quoting style automatically and escapes single quotes inside your data so a value like O'Brien doesn't break the generated statement.
When to convert?
Convert CSV to SQL when you need to seed a database, migrate data from a spreadsheet export to a database, reproduce a dataset in a development or staging environment, create fixtures for automated tests, bulk-load a one-off dataset a client sent you as a spreadsheet, or hand a DBA a ready-to-run script instead of a CSV they'd have to import manually.
Frequently asked questions
Is my data safe when generating SQL from CSV?
Yes. The SQL is generated entirely in your browser. Your data is never uploaded to any server.
Which SQL dialects are supported?
MySQL, PostgreSQL, and SQLite. The tool generates properly escaped identifiers and values for your chosen dialect.
Does it detect column types?
Currently all columns are generated as TEXT type. You can manually adjust the CREATE TABLE statement to use more specific types like INTEGER or DATE.
Can I change the table name?
Yes. Enter your desired table name in the options field. The default is 'my_table'.
How does identifier quoting differ between MySQL, PostgreSQL, and SQLite?
MySQL wraps table and column names in backticks (`my_table`), PostgreSQL uses double quotes ("my_table"), and SQLite typically needs no quoting at all. The converter applies the correct style for whichever dialect you select, so the output runs without a syntax error.
What happens to apostrophes and quotes inside my data?
Single quotes are automatically escaped (O'Brien becomes O''Brien) so string values don't break the surrounding SQL statement. This is handled for every dialect.
Can I convert large CSV files to SQL?
Yes. Conversion runs locally in your browser rather than on a server, so there's no upload size limit — the practical ceiling is your device's available memory. Larger files just take a little longer to generate.
Working with CSV data on your Mac? Open CSV files in Google Sheets with one double-click.
CSVtoSheets is a Mac app — double-click any CSV, XLS, or XLSX to open it in Google Sheets instantly.