Excel to SQL Converter Online – Free & Fast XLS/XLSX to SQL Tool
Convert your Excel files (XLS, XLSX) into SQL queries instantly with our free online Excel to SQL Converter. Upload your Excel file, choose your database type (MySQL, SQL Server, PostgreSQL), and get ready-to-use SQL insert statements within seconds. Perfect for quick imports, database migrations, and developers who need a hassle-free Excel-to-database solution.
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Upload Excel Files
Drag & drop your .xlsx or .xls files here, or click to browse.
Supported formats: XLS, XLSX
Frequently Asked Questions
Find answers to common questions about this tool
An Excel to SQL Converter is a tool that transforms Excel spreadsheets (.xlsx
or .xls
) into SQL database scripts. Instead of manually creating tables and inserting rows, the converter automatically generates CREATE TABLE
and INSERT INTO
statements, saving time and reducing errors.
1. Upload your Excel file (.xlsx or .xls).
2. Choose your table name and set conversion options (e.g., batch size, include CREATE TABLE).
3. Click Convert to SQL.
4. Download the generated .sql file.
5. Run the file in your SQL database (MySQL, SQL Server, PostgreSQL, etc.).
Yes ✅. After using this Excel to SQL Converter, you’ll get a .sql
file. You can import it into SQL Server using:
-
SQL Server Management Studio (SSMS) → Open
.sql
file → Run Query. -
Or use
sqlcmd
in the command line to execute the generated SQL script.
For SQL Server 2012 / 2019, simply copy-paste the SQL statements and run them.
Yes 🚀. You can upload multiple Excel files, and the tool will generate separate .sql
files for each. You can also download them all together in a ZIP.
Yes ✅. You can choose whether to include CREATE TABLE
statements. If you already have a table in your database, you can skip it and only generate INSERT
statements.
Any empty cell in your Excel file is automatically converted to NULL
in the SQL script.
The batch size determines how many rows are inserted per INSERT INTO
statement.
-
Default: 100 rows per INSERT
-
You can change this number to optimize import performance.