CSV to SQL workflow
Convert CSV rows into SQL you can review before running
Generated SQL should be reviewed, not run blindly. Convert the CSV, then check quoting and types before execution.
Generate, then verify
Treat generated SQL as a draft until it has been checked against the target table.
Load the CSV data
Confirm headers match the destination table columns.
Set the table name
Match the exact table name used in the target database.
Generate the statements
Review a sample of generated inserts for correct quoting.
Run against a test database first
Confirm the statements succeed before running them in production.
Options that shape the INSERT statements
- Table name and column quoting
- NULL handling for empty cells
- Batch size for multi-row inserts
- String escaping for quotes and backslashes
Where generated SQL causes problems
- Column order does not match the destination table
- Special characters in text need proper escaping
- Empty CSV values need a clear null handling rule
- Numeric-looking codes need to stay as text
Reduce database risk
- Run generated statements in a test environment first
- Confirm column types match the destination schema
- Back up the target table before a bulk insert
- Review a sample of rows before running the full batch
Frequently asked questions
Are empty cells converted to NULL?
That is configurable. The default maps empty cells to NULL, which matches most database schemas.
Can I generate multi-row INSERT statements?
Yes. Choose a batch size and the tool emits one INSERT with several value tuples per batch.
Are column names quoted?
Yes. Columns are quoted with backticks by default, which works for MySQL and MariaDB.
Is my CSV uploaded?
No. The conversion runs locally in your browser.
Statements are generated locally
The conversion runs in the browser. Review generated SQL before it touches any live database.
Open CSV to SQL