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Overview

CSV to SQL Converter

Convert CSV data to SQL INSERT or CREATE TABLE statements. Support multiple SQL dialects (MySQL, PostgreSQL, SQLite, T-SQL) with automatic type detection.

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Data

Problems

5

FAQ

5

Configuration

Generated SQL

Paste CSV content to generate SQL

What you can solve

How do I import a CSV file into my database?

Use this tool to convert your CSV to SQL, then execute the generated INSERT statements in your database client. Alternatively, most database systems provide native CSV import functionality through their admin tools.

The detected data types seem incorrect. How can I fix this?

When a column contains mixed data types, the tool makes its best guess based on the first few rows. You can manually edit the generated SQL to correct data types, or clean your CSV to ensure consistent types per column.

What are the syntax differences between SQL dialects?

Each SQL dialect has different rules for quoting identifiers and defining data types. MySQL uses backticks, PostgreSQL uses double quotes, SQL Server uses square brackets. This tool automatically handles these differences for you.

Can I create a table without a primary key?

Yes. Primary key configuration is optional. Simply select "None" from the primary key dropdown to create a table without a primary key column.

How are values with special characters or single quotes handled?

Single quotes within values are automatically escaped by doubling them. Special characters are properly quoted and escaped to prevent SQL syntax errors and injection attacks.

Typical workflow

Guides for this workflow

Supporting guides that connect this tool to the broader category workflow.

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What is

What is CSV to SQL Converter?

The CSV to SQL Converter is a powerful tool for developers and database administrators who need to translate CSV data into executable SQL statements. Whether you're migrating legacy data, populating test databases, or sharing SQL instructions with team members, this tool automatically detects data types and generates properly formatted SQL for your chosen database system.

Support for multiple SQL dialects (MySQL, PostgreSQL, SQLite, T-SQL) ensures compatibility across different database environments. The tool intelligently handles quotation rules, data type mapping, and special character escaping specific to each dialect.

How to use

How to use CSV to SQL Converter

1. Paste your CSV data into the input area. The first row should contain column headers.

2. Select your target SQL dialect (MySQL, PostgreSQL, SQLite, or T-SQL).

3. Enter the table name you want to create or populate.

4. Optionally set a primary key column and choose whether to include the CREATE TABLE statement.

5. Review the generated SQL, then copy it to your clipboard or download it as a .sql file.

6. Execute the SQL in your database client to import the data.

Example

Example

Input CSV:
name,email,age,created_at
John,john@example.com,30,2024-01-15
Jane,jane@example.com,25,2024-02-20

Generated SQL (PostgreSQL):
CREATE TABLE "users" (
  "name" VARCHAR,
  "email" VARCHAR,
  "age" INTEGER,
  "created_at" DATE
);

INSERT INTO "users" (name, email, age, created_at) VALUES
  ('John', 'john@example.com', 30, '2024-01-15'),
  ('Jane', 'jane@example.com', 25, '2024-02-20');

Common use cases

Common use cases

1. Bulk importing CSV data into production or development databases.

2. Migrating data from legacy systems or flat files to relational databases.

3. Preparing and inserting test datasets for QA and development.

4. Creating SQL dump files to share with team members or for version control.

5. Inspecting and validating database schemas before major migrations.

6. Converting data between different SQL database systems.

Frequently asked questions

Frequently asked questions

What CSV format do you support?v
This tool supports standard comma-separated values (CSV) format. It handles double-quoted, single-quoted, and unquoted values correctly.
Does the tool automatically detect data types?v
Yes. The converter analyzes the data in each column and automatically detects numbers, dates, booleans, and text. It examines multiple rows to improve accuracy.
Which SQL dialects are supported?v
The tool supports MySQL, PostgreSQL, SQLite, and SQL Server (T-SQL). Each dialect uses the correct quoting rules and data types automatically.
Can I process large CSV files?v
The tool runs in your browser, so file size is limited by available memory. Typically, CSV files with thousands of rows process without issues. For very large files, consider splitting them into chunks.
How are special characters and single quotes handled?v
Single quotes are automatically escaped (doubled). Special characters are properly quoted and sanitized to prevent SQL injection vulnerabilities.