DevKits

CSV to SQL INSERT Converter — Generate SQL From Spreadsheet Data

Convert CSV data to SQL INSERT statements. Configurable table name, auto-detects column headers from the first row, handles NULL, numbers, quotes, and string escaping. 100% local.

Last updated:

Comments

Paste CSV data, set a table name, and get SQL INSERT statements with properly escaped strings, numbers, and NULL values.

INSERT INTO my_table (name, age, city) VALUES ('Alice', 30, 'NYC');
INSERT INTO my_table (name, age, city) VALUES ('Bob', 25, 'LA');
INSERT INTO my_table (name, age, city) VALUES ('Charlie', 35, 'SF');
INSERT INTO my_table (name, age, city) VALUES ('Diana', 28, 'CHI');

What is CSV to SQL INSERT?

Converting CSV to SQL INSERT automates the tedious process of manually writing INSERT statements for spreadsheet data. The first row becomes column headers, and each subsequent row generates one INSERT statement. Strings are wrapped in single quotes with embedded quotes escaped (''), numbers are left unquoted, and empty/NULL cells become SQL NULL.

How to convert CSV to SQL INSERT

  1. 1Paste your CSV with headers in the first row.
  2. 2Enter the target table name.
  3. 3Copy the generated INSERT statements into your SQL editor.

Frequently Asked Questions

How do I handle CSV files with different delimiters?

Our converter handles comma-delimited CSV. For TSV or pipe-delimited files, replace the delimiter with commas first, or use our CSV to JSON converter and reformat.

Are NULL values handled correctly?

Yes — empty cells and the literal string 'NULL' (case-insensitive) are converted to SQL NULL without quotes.

What SQL dialect does it generate?

Standard SQL INSERT statements compatible with PostgreSQL, MySQL, SQLite, SQL Server, and most other databases.

Try Next

JSON → Python

Convert JSON to Python @dataclass definitions with typed fields. snake_case field names, nested classes, List[T] for arrays, and JSON-key alias comments. 100% local.

Related Tools

Reference & Guides