CSV to SQL Converter
Turn CSV rows into ready-to-run SQL INSERT statements with a custom table name in seconds. Free, no signup, works in your browser.
Everything runs inside your browser — your file is never uploaded to a server.
About this tool
Paste or upload a CSV file and this tool generates SQL INSERT statements for every row, using the header row as column names. You can set your own table name so the output drops straight into your database migration scripts or seed files. It automatically quotes text values, keeps numbers unquoted, and escapes single quotes so the generated SQL runs without syntax errors. This is ideal for developers who need to seed a MySQL, PostgreSQL or SQLite table from a spreadsheet export without writing INSERT statements by hand. Since the conversion runs entirely in your browser using JavaScript, sensitive data such as customer records or financial figures never leaves your machine. Copy the generated SQL directly or download it as a .sql file ready to execute.
How to use this tool
1. Add your CSV
Paste CSV text or choose a .csv file from your device.
2. Set the table name
Type the table name you want used in the INSERT statements.
3. Convert
Click convert to generate SQL INSERT statements for every row.
4. Copy or download
Copy the SQL to your clipboard or download it as a .sql file.
Why use this tool
Manually writing INSERT statements for hundreds of rows is tedious and error-prone. This tool turns any CSV export into ready-to-run SQL instantly, saving developers and database administrators time when seeding tables, migrating data, or setting up test environments, all without installing software.
Tips & best practices
- Make sure your header row uses valid, database-friendly column names before converting.
- Double-check numeric columns don't contain stray text that could confuse type detection.
- For very large CSVs, consider splitting the output into batches for faster execution.
Common use cases
- Seeding a development database with sample data from a spreadsheet.
- Migrating a legacy data export into a new SQL database schema.
- Loading product catalogs into an e-commerce database table.
- Bulk-inserting survey or form responses into an analytics database.
- Populating a test environment with realistic data for QA teams.
Frequently asked questions
Can I set a custom table name for the INSERT statements?
Yes, you can type any table name and it will be used in every generated INSERT statement.
Does it escape quotes and special characters in text values?
Yes, single quotes and other special characters are escaped automatically so the SQL stays valid.
Will numbers be wrapped in quotes incorrectly?
No, numeric columns are detected and left unquoted, while text values are quoted properly.
Which database engines does the SQL work with?
The generated syntax is standard ANSI SQL, compatible with MySQL, PostgreSQL, SQLite and most other engines.
Is my CSV data sent to a server for conversion?
No, everything happens locally in your browser and your file never leaves your device.
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