CSV to SQL INSERT Generator
Generate ready-to-run SQL INSERT statements from your CSV data, with dialect support for PostgreSQL, MySQL, and SQL Server — including correct quoting for each. Set the target table name, and values are automatically typed: numbers stay unquoted, booleans become 1/0, and empty fields become NULL. The output updates live as you edit, with no server involved.
CSV
Table Name
SQL Dialect
SQL
What is CSV to SQL Converter?
The fastest way to get a CSV file's data into a database is usually a bulk INSERT script — but writing one by hand means manually typing column names, quoting every string value, and getting the dialect-specific syntax right for NULL handling and boolean representation. This tool generates the SQL from your CSV: column names come from the header row, data types are inferred from the values, and INSERT statements are grouped into configurable batch sizes for efficient execution. Select the target dialect (MySQL, PostgreSQL, SQLite, or SQL Server) and the tool applies the correct identifier quoting style and boolean representation for that database. Enable CREATE TABLE to prepend a schema definition. Choose INSERT, INSERT OR IGNORE, or UPSERT mode. The generated .sql file is immediately runnable in a database client and version-controllable as a repeatable data loading script. All processing happens locally — your CSV data is never sent to any server.
How to Use
- 1
Paste or Upload Your CSV
Paste CSV data or upload a .csv file. The tool uses the first row as column names for the SQL statement. Auto-detection identifies the delimiter (comma, semicolon, tab, or pipe).
- 2
Configure SQL Output
Enter the target table name, select the SQL dialect (MySQL, PostgreSQL, SQLite, SQL Server), choose INSERT, INSERT OR IGNORE, or UPSERT mode, and set the batch size for multi-row value grouping.
- 3
Generate the SQL Script
Click "Convert to SQL". Column types are inferred from the CSV values, identifier quoting matches the target dialect, and an optional CREATE TABLE statement is prepended to the output.
- 4
Execute or Save the Script
Copy the SQL and run it directly in your database client, or download it as a .sql file for version-controlled database migrations and reproducible data loading.
Common Use Cases
Database Seeding from Spreadsheets
Convert CSV exports from Excel or Google Sheets into SQL INSERT statements to populate development, staging, or test databases without writing repetitive SQL by hand.
Data Migration Scripts
Generate SQL INSERT or UPSERT statements from CSV data exports when migrating records between database systems, environments, or cloud providers with a version-controllable .sql file.
ETL Pipeline Source Prep
Transform CSV source files into SQL scripts as the loading step of an ETL pipeline, enabling bulk inserts into MySQL, PostgreSQL, SQLite, or SQL Server via database client tools.
Rapid Table Population
Bootstrap a new database table from a CSV data file in seconds — the tool infers column names and generates both CREATE TABLE and INSERT statements for immediate execution.
Conversion Examples
CSV → SQL INSERT Statements
Each CSV row becomes an INSERT statement; the header row provides column names.
Input JSON
id,name,email,active 1,Alice,alice@example.com,true 2,Bob,bob@example.com,false
Output CSV
CREATE TABLE data (
id VARCHAR(255),
name VARCHAR(255),
email VARCHAR(255),
active VARCHAR(255)
);
INSERT INTO data (id, name, email, active) VALUES
('1', 'Alice', 'alice@example.com', 'true'),
('2', 'Bob', 'bob@example.com', 'false');CSV → PostgreSQL UPSERT
Generates ON CONFLICT syntax for idempotent bulk loading into PostgreSQL.
Input JSON
id,product,price 1,Widget,9.99 2,Gadget,24.99
Output CSV
INSERT INTO products (id, product, price) VALUES (1, 'Widget', 9.99), (2, 'Gadget', 24.99) ON CONFLICT (id) DO UPDATE SET product = EXCLUDED.product, price = EXCLUDED.price;