CSV to SQL Converter
A powerful and free online tool to handle CSV to SQL Converter operations instantly in your browser. Fast, secure, and fully local by OrbitInfra.
Generating SQL Schema and INSERT Queries from CSV Data
Importing CSV spreadsheets into relational databases often involves complex command-line import wizards, permission hurdles, or database GUI quirks.
Our CSV to SQL tool inspects your columns, detects appropriate SQL data types (VARCHAR, INT, DECIMAL, BOOLEAN, DATE), and generates standard `CREATE TABLE` and batch `INSERT INTO` statements ready to execute in PostgreSQL, MySQL, SQLite, or SQL Server.
How to Use
- Paste your CSV data into the input editor.
- Specify your target SQL dialect (PostgreSQL, MySQL, SQLite, SQL Server) and table name.
- The tool generates `CREATE TABLE` schema definitions and batch `INSERT INTO` queries.
- Copy the SQL script directly into your database terminal or query editor.
Key Features & Capabilities
- Supports popular database dialects: PostgreSQL, MySQL, SQLite, and Microsoft SQL Server.
- Infers appropriate column data types (`INT`, `DECIMAL`, `VARCHAR`, `TIMESTAMP`, `BOOLEAN`).
- Generates optimized multi-row batch `INSERT` statements.
- Properly escapes single quotes in string values to prevent SQL syntax errors.
Common Developer Workflows
- Bootstrapping local development databases with realistic CSV test fixtures.
- Migrating spreadsheet data into production relational database tables.
- Generating SQL migration scripts for Flyway, Liquibase, or Prisma.
- Quickly converting client spreadsheets into executable database queries.
Frequently Asked Questions
How are SQL data types determined?
The converter inspects sample values in each column: integers map to `INT`, floating-point values map to `DECIMAL`, dates map to `TIMESTAMP`, and text maps to `VARCHAR`.
How are single quotes escaped in SQL values?
Single quotes within text strings are escaped by doubling them (`''`), which is standard across SQL dialects.
Can I customize the generated table name?
Yes! You can specify your desired database table name before generating the SQL script.