Special Offer Get 50% OFF Lifetime Access - Limited Time Offer!

Excel to SQL Converter

Convert your Excel data into SQL INSERT statements

or drag and drop

Excel files only (.xlsx, .xls)

How to Use This Excel to SQL Converter

Our online Excel to SQL converter makes it easy to transform your spreadsheet data into SQL statements. Follow these simple steps:

  1. Upload your Excel file (.xlsx or .xls) by dragging and dropping it into the upload area or clicking to browse your files.
  2. Enter a table name for your SQL output. This will be the name of the table in your database.
  3. Select the worksheet you want to convert if your Excel file contains multiple sheets.
  4. Configure your columns by reviewing the detected column names and selecting appropriate SQL data types.
  5. Click "Convert to SQL" to generate your SQL statements.
  6. Copy or download the generated SQL to use in your database management system.

What is SQL and Why It's Useful?

SQL (Structured Query Language) is the standard language for managing and manipulating relational databases. It allows you to:

Converting Excel to SQL is essential when you need to import spreadsheet data into a database system, migrate data between systems, or prepare data for web applications and enterprise software.

Excel: Pros and Cons for Database Use

Pros

  • Familiar interface for most users
  • Easy to create and modify data
  • Built-in formulas and calculations
  • Visual data representation with charts
  • Widely used in business environments

Cons

  • Limited data integrity and validation
  • Poor performance with large datasets
  • No built-in support for relationships
  • Limited concurrent user access
  • Not designed for transactional operations

While Excel is excellent for data entry and analysis, it's not designed to function as a true database. Converting Excel to SQL allows you to leverage the strengths of both tools: Excel for data preparation and SQL databases for storage, retrieval, and application integration.

Sample Input and Output

Sample Excel Data

ID Name Email Join Date Active
1 John Smith john @example.com 2023-01-15 Yes
2 Jane Doe jane[@]example.com 2023-02-20 Yes
3 Bob Johnson bob[@]example.com 2023-03-10 No

Generated SQL

CREATE TABLE `users` (
    `id` INT AUTO_INCREMENT PRIMARY KEY,
    `Name` VARCHAR(255),
    `Email` VARCHAR(255),
    `Join Date` DATE,
    `Active` BOOLEAN
);

INSERT INTO `users` (`Name`, `Email`, `Join Date`, `Active`) VALUES ('John Smith', 'john @example.com', '2023-01-15', 1);
INSERT INTO `users` (`Name`, `Email`, `Join Date`, `Active`) VALUES ('Jane Doe', 'jane @example.com', '2023-02-20', 1);
INSERT INTO `users` (`Name`, `Email`, `Join Date`, `Active`) VALUES ('Bob Johnson', 'bob @example.com', '2023-03-10', 0);

Use Cases for Excel to SQL Conversion

Database Migration

Transfer data from legacy systems or spreadsheets to modern database platforms like MySQL, PostgreSQL, or SQL Server.

Web Application Development

Quickly populate your application's database with initial data during development or testing phases.

Data Analysis

Move your Excel data into SQL databases for more powerful querying, reporting, and analysis capabilities.

Business Intelligence

Integrate spreadsheet data with BI tools that require SQL-compatible data sources for dashboards and reports.

Is This Excel to SQL Converter Safe?

Yes, our Excel to SQL converter is designed with your privacy and security in mind:

While our tool is safe to use, we recommend reviewing the generated SQL before executing it in your production database to ensure it meets your requirements.

Frequently Asked Questions

What Excel file formats are supported?

Our converter supports both .xlsx (Excel 2007+) and .xls (Excel 97-2003) file formats.

Is there a file size limit?

Yes, the maximum file size is 10MB to ensure optimal performance and processing time.

Can I convert multiple sheets from my Excel file?

Yes, you can select which worksheet to convert from the dropdown menu after uploading your file.

What SQL database systems are compatible with the output?

The generated SQL is compatible with most SQL database systems including MySQL, PostgreSQL, SQL Server, Oracle, and SQLite.

How does the tool handle special characters in column names?

Special characters in column names are properly escaped in the SQL output to ensure compatibility with SQL syntax.

Related Tools