CSV to SQL Converter

Paste CSV data and generate ready-to-run SQL INSERT statements in seconds. Pick your database dialect, choose INSERT mode, add a CREATE TABLE, and download or copy the result.

Last updated: May 20, 2026

CSV Input

SQL Output

CREATE TABLE IF NOT EXISTS `products` (
  `id` INTEGER,
  `name` VARCHAR(100),
  `price` NUMERIC,
  `stock` INTEGER,
  `category` VARCHAR(100)
);

INSERT INTO `products` (`id`, `name`, `price`, `stock`, `category`) VALUES
  (1, 'Laptop', 999.99, 45, 'Electronics'),
  (2, 'Mouse', 29.99, 120, 'Electronics'),
  (3, 'Desk', 249.99, 30, 'Furniture'),
  (4, 'Chair', 149.99, 55, 'Furniture'),
  (5, 'Monitor', 349.99, 28, 'Electronics');

Table Name

Dialect

Insert Mode

Delimiterdetected: Comma (,)

Header RowCREATE TABLEBatch InsertInfer Types

5 rows5 columns434 chars

Client-Side Processing

Input Data Stays on Device

Instant Local Execution

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What is CSV to SQL Converter?

CSV to SQL conversion is one of the most common data migration tasks for developers and database administrators. Whether you are seeding a development database, importing a spreadsheet export, or migrating data between systems, writing INSERT statements by hand is slow and error-prone.

This tool parses your CSV (or TSV, semicolon-delimited, or pipe-delimited) data and generates syntactically correct SQL for MySQL, PostgreSQL, SQLite, or SQL Server. It handles identifier quoting (backticks for MySQL, brackets for SQL Server, double quotes for PostgreSQL and SQLite), proper single-quote escaping in string values, NULL handling for empty cells, optional type inference to avoid wrapping numbers in quotes, and multi-row batch INSERTs for faster bulk loading.

How to Use CSV to SQL Converter

Paste your CSV data into the input area, or click "Load Sample" for an example

Set the table name in the options bar

Select your SQL dialect (MySQL, PostgreSQL, SQLite, SQL Server)

Choose INSERT mode: standard INSERT, INSERT IGNORE, or INSERT OR REPLACE

Toggle "CREATE TABLE" to include a table definition at the top

Toggle "Batch Insert" to combine all rows into one multi-row VALUES block

Copy the SQL output or download it as a .sql file

Common Use Cases

Back-end developers seeding a local MySQL or PostgreSQL database from a CSV export of production data.
Data engineers importing spreadsheet exports from Google Sheets or Excel into a relational database.
QA teams generating bulk test fixture data from a CSV file for integration test setups.
Database admins migrating data between systems by converting CSV dumps to INSERT scripts.
Full-stack developers populating SQLite databases for mobile or Electron app development.
Students and learners practising SQL by importing real-world CSV data sets into a local database.

Example Input and Output

A product CSV is converted into MySQL INSERT statements with a CREATE TABLE header and multi-row VALUES for efficient bulk loading.

CSV input

id,name,price,stock
1,Laptop,999.99,45
2,Mouse,29.99,120
3,Desk,249.99,30

SQL output (MySQL)

CREATE TABLE IF NOT EXISTS `products` (
  `id` INTEGER,
  `name` VARCHAR(100),
  `price` NUMERIC,
  `stock` INTEGER
);

INSERT INTO `products` (`id`, `name`, `price`, `stock`) VALUES
  (1, 'Laptop', 999.99, 45),
  (2, 'Mouse', 29.99, 120),
  (3, 'Desk', 249.99, 30);

Privacy

All processing happens client-side. No data is uploaded to any server.

Large files

For very large CSV files, use the batch INSERT mode and download the .sql file rather than copying from the textarea. Most databases accept a .sql file via the CLI (mysql < file.sql) or a GUI import.

Frequently Asked Questions

How are special characters in values handled?

Single quotes inside string values are escaped by doubling them — 'O'Brien' becomes 'O''Brien' — which is the standard SQL escape for all dialects.

What happens to empty cells?

Empty cells and cells containing the text "null" (case-insensitive) are output as SQL NULL.

What is the difference between batch and individual inserts?

Batch insert combines all rows into one INSERT statement with multiple VALUES rows, which is faster for large data sets. Individual inserts produce one INSERT statement per row, which is easier to debug or partially execute.

What does "Infer Types" do?

With Infer Types on, values that look like integers (1, 42) or decimals (3.14) are output without quotes, and TRUE/FALSE are output as SQL booleans. With it off, every value is treated as a string.

How are table and column names quoted for each dialect?

MySQL uses backticks (`name`), SQL Server uses brackets ([name]), and PostgreSQL, SQLite, and the generic mode use double quotes ("name").

Is my data sent to a server?

No. All CSV parsing and SQL generation runs entirely in your browser. Your data never leaves your device.