What Is SQL?

SQL (Structured Query Language) is the standard language for interacting with relational databases. Two of the most common operations are:

• DDL (Data Definition Language) — CREATE TABLE statements that define table structure, column names, data types, and constraints

• DML (Data Manipulation Language) — INSERT INTO statements that populate tables with rows of data

Converting CSV data to SQL means transforming spreadsheet-style data into executable SQL scripts that can be run directly against a database.

What Is a CSV to SQL Converter?

A CSV to SQL converter takes comma-separated or tab-separated data and generates valid SQL statements. Instead of manually writing hundreds of INSERT lines, you paste your CSV and get a ready-to-run .sql file.

This is useful when:

• Importing data from spreadsheets into a relational database

• Generating seed data for development and testing

• Migrating data between systems via SQL scripts

• Creating database schemas from existing data structures

Supported Database Dialects

The converter supports four SQL dialects, each with specific syntax differences.

MySQL

CREATE TABLE `users` (

 `id` INT,  `name` TEXT,

 `email` TEXT,

 PRIMARY KEY (`id`)

);

INSERT INTO `users` (`id`, `name`, `email`) VALUES (1, 'Alice', '[email protected]');

MySQL uses backticks for identifier quoting and supports DROP TABLE IF EXISTS.

PostgreSQL

CREATE TABLE "users" (

 "id" INT,  "name" TEXT,

 "email" TEXT,

 PRIMARY KEY ("id")

);

INSERT INTO "users" ("id", "name", "email") VALUES (1, 'Alice', '[email protected]');

PostgreSQL uses double quotes for identifiers and supports DROP TABLE IF EXISTS.

SQLite

CREATE TABLE "users" (

 "id" INT,  "name" TEXT,

 "email" TEXT,  PRIMARY KEY ("id")

);

INSERT INTO "users" ("id", "name", "email") VALUES (1, 'Alice', '[email protected]');

SQLite has a simplified type system. It does not support DROP TABLE IF EXISTS in all versions — the converter handles this based on the selected dialect.

SQL Server (T-SQL)

CREATE TABLE [users] (

 [id] INT,  [name] TEXT,

 [email] TEXT,

 PRIMARY KEY ([id])

);

INSERT INTO [users] ([id], [name], [email]) VALUES (1, 'Alice', '[email protected]');

SQL Server uses square brackets for identifier quoting and supports DROP TABLE IF EXISTS (SQL Server 2016+).

Core Features

CREATE TABLE Statement

Enable Create Table to include a CREATE TABLE DDL statement at the top of the output. The converter generates column definitions based on your header row. Data types default to TEXT unless inferred otherwise.

DROP TABLE IF EXISTS

Enable Drop Table (If Exists) to prepend a DROP TABLE IF EXISTS statement before the CREATE TABLE. This ensures the script is idempotent — safe to run multiple times without errors.

Table Name

Enter a Table Name in the Properties panel. This name is used in both the CREATE TABLE and INSERT INTO statements. If left blank, a default name is used.

Primary Key

Specify a Primary Key column name. The converter adds a PRIMARY KEY constraint to the CREATE TABLE statement for the specified column.

Batch Insert

Enable Batch Insert to combine multiple rows into a single INSERT INTO ... VALUES statement:

-- Batch Insert (ON)INSERT INTO `users` (`id`, `name`) VALUES(1, 'Alice'),(2, 'Bob'),(3, 'Charlie');-- Individual Inserts (OFF)INSERT INTO `users` (`id`, `name`) VALUES (1, 'Alice');INSERT INTO `users` (`id`, `name`) VALUES (2, 'Bob');INSERT INTO `users` (`id`, `name`) VALUES (3, 'Charlie');

Batch inserts are faster to execute and produce smaller SQL files.

Pretty Print

Enable Pretty Print to format the SQL output with line breaks and indentation. Disable it for compact single-line output.

Full Table Editor

After uploading your CSV or TSV file, the built-in editor lets you:

• Add, delete, and reorder rows and columns

• Transpose rows to columns

• Remove empty rows and duplicate rows

• Apply case transformations (UPPERCASE, lowercase, Capitalize)

• Find and replace values (with regex support)

Privacy

All processing happens in your browser. Your CSV data is never uploaded to any server.

How to Use the CSV to SQL Converter

Step 1 — Load Your Data

Drag and drop a .csv or .tsv file onto the upload area, or click to browse. Alternatively, click Enter Data to type values directly into the table editor.

Step 2 — Edit (Optional)

Use the toolbar to modify your data. Insert or remove rows and columns, transpose the table, deduplicate rows, or apply bulk case changes.

Step 3 — Select Database Dialect

In the Properties panel, choose your target database: MySQL, PostgreSQL, SQLite, or SQL Server.

Step 4 — Configure Options

• Table Name — enter the target table name

• Primary Key — specify the primary key column (optional)

• Create Table — toggle on to include CREATE TABLE in the output

• Drop Table (If Exists) — toggle on to add DROP TABLE IF EXISTS before create

• Batch Insert — toggle on to combine rows into a single INSERT

• Pretty Print — toggle on for formatted output

Step 5 — Convert

Click Convert. The SQL script appears in the Output Data panel.

Step 6 — Copy or Download

Click Copy to Clipboard to paste the SQL into your database client, or use Download File (Premium) to save the .sql file.

Use Cases

1. Data migration — Import Excel or Google Sheets data into MySQL, PostgreSQL, SQLite, or SQL Server

2. Database seeding — Generate INSERT scripts for development and test databases

3. Schema prototyping — Create CREATE TABLE statements from existing CSV headers

4. ETL workflows — Convert CSV exports to SQL as part of an extract-transform-load pipeline

5. SQL tutorials — Generate sample INSERT data for educational content

6. Backup and restore — Convert CSV data exports into SQL scripts for database restoration

FAQ

• Which SQL databases does the CSV to SQL converter support?

  The converter supports four SQL dialects: MySQL, PostgreSQL, SQLite, and SQL Server (T-SQL). Each dialect generates correctly quoted identifiers and syntax-appropriate statements.

• What is the difference between batch insert and individual insert?

  Batch insert combines multiple data rows into a single INSERT INTO ... VALUES statement with comma-separated value tuples. Individual insert generates a separate INSERT statement for each row. Batch inserts execute faster and produce smaller SQL files.

• Does the tool upload my CSV data to a server?

  No. All conversion happens entirely in your browser. Your files are never uploaded, transferred, or stored on any server.

• How do I add a CREATE TABLE statement to the output?

  Enable the 'Create Table' toggle in the Properties panel. The converter generates a CREATE TABLE DDL statement with column definitions based on your header row. You can also enable 'Drop Table (If Exists)' to make the script idempotent.

• Can I specify a primary key for the table?

  Yes. Enter the column name in the 'Primary Key' field in the Properties panel. The converter adds a PRIMARY KEY constraint to the CREATE TABLE statement for that column.

• What does the Drop Table (If Exists) option do?

  When enabled, the converter adds a DROP TABLE IF EXISTS statement before the CREATE TABLE statement. This makes the SQL script safe to run multiple times without causing 'table already exists' errors.

• What is the Pretty Print option?

  Pretty Print formats the SQL output with line breaks and indentation for readability. When disabled, the output is compact single-line SQL, which is useful for minimizing file size.

• Can I edit my CSV data before converting to SQL?

  Yes. After uploading your file, a full table editor opens where you can add or remove rows and columns, transpose the table, deduplicate rows, change text case, and find and replace values.