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CSV to SQL
Convert CSV rows into ready-to-run SQL INSERT statements.
csv-to-sql.tool
Table
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SQL statements will appear hereNothing you paste here is ever sent to a server - generation happens locally in your browser.
What is a csv to sql?
This tool converts CSV rows into SQL INSERT statements, ready to paste into a database client or migration script. It infers column types from the data (numbers and booleans stay unquoted, text is safely quoted and escaped), and lets you choose between one INSERT per row or a single batched statement.
How to use this tool
- 1Paste CSV data with a header row, or upload a .csv file.
- 2Set the target table name.
- 3Toggle 'Single batch INSERT' to generate one INSERT with multiple VALUES rows, or leave it off for one statement per row.
- 4Copy the SQL or download it as a .sql file.
Common use cases
Seeding a development database from a spreadsheet of sample data
Migrating a small dataset exported as CSV into a SQL table
Quickly generating test data INSERT statements without writing them by hand
Converting a CSV report into statements to load into a data warehouse
Good to know
Frequently asked questions
Is the SQL safe from injection issues?
Text values have single quotes escaped by doubling them (the standard SQL escaping approach), so a value like O'Brien becomes O''Brien correctly rather than breaking the statement.
How are empty cells handled?
An empty CSV cell becomes SQL NULL rather than an empty string, which usually matches what you want for optional columns.
What's the difference between batch and individual INSERT statements?
Batch mode produces one INSERT with all rows listed under a single VALUES clause - more efficient for bulk loading. Individual mode produces a separate INSERT statement per row, which can be easier to review or run selectively.
Does it know my database's exact SQL dialect?
It generates standard, widely-compatible SQL (unquoted numbers, TRUE/FALSE, NULL, single-quoted strings). Dialect-specific syntax like MySQL backticks or Postgres-specific types isn't applied automatically.
quick_facts.json
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"category": "Converters"
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