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Excel to SQL Converter — Free Online Tool

Convert Excel spreadsheets (.xlsx, .xls) to SQL INSERT statements instantly. Upload your workbook, set the table name, and get database-ready SQL. No signup required — your data stays in your browser and is never uploaded to any server.

Upload Excel File

Drag & drop your Excel file here, or browse

Supports .xlsx and .xls formats

Generated SQL

Upload an Excel file and click Convert

How to Convert Excel to SQL in 3 Steps

1

Upload Your Spreadsheet

Drag and drop your .xlsx or .xls file into the upload area. The converter reads the first sheet and uses the first row as SQL column headers.

2

Set Your Table Name

Enter the target SQL table name. Each row in your spreadsheet becomes an INSERT statement with properly typed values.

3

Copy Your SQL

Click "Convert to SQL" and your INSERT statements appear instantly. Copy them into your database client, migration script, or SQL file.

Why Developers Choose Our Excel to SQL Converter

Go from spreadsheet to database in seconds — with full privacy and cross-database compatibility.

XLSX & XLS Support

Works with both modern .xlsx (Excel 2007+) and legacy .xls (Excel 97-2003) formats. Powered by SheetJS for reliable parsing of complex workbooks.

100% Private — Zero Data Upload

Your Excel file is parsed entirely in your browser. No data is sent to any server — safe for financial reports, HR data, and proprietary business records.

Auto Column Detection

The first row of your spreadsheet is automatically used as column names. Rows with fewer columns are padded with NULL values.

Formula Value Extraction

Cells containing formulas are read as their computed values. You get the actual data — not the formula syntax — in your SQL output.

Works With Any SQL Database

Generates standard ANSI SQL INSERT statements compatible with MySQL, PostgreSQL, SQLite, MariaDB, SQL Server, and Oracle.

Smart Type Handling

Numbers remain unquoted, empty cells become NULL, and text values are properly escaped. Handles dates, booleans, and special characters automatically.

Common Use Cases

Spreadsheet to Database Migration

Move data tracked in Excel workbooks into a proper relational database without writing SQL manually.

Business Report Imports

Import financial reports, inventory lists, or sales data from Excel into your analytics database.

Development Seed Data

Convert test data maintained in spreadsheets into INSERT statements for database seeding scripts.

Legacy System Migration

Export data from legacy tools as Excel files, then convert to SQL for import into modern databases.

Frequently Asked Questions

Is this Excel to SQL converter free?

Yes. Guest users get 5 free conversions per day. Create a free account for unlimited conversions with no restrictions. There are no hidden fees or premium tiers for the converter tool.

What Excel file formats are supported?

Both .xlsx (Excel 2007 and later) and .xls (Excel 97-2003) formats are fully supported. The converter uses the SheetJS library for reliable, battle-tested parsing of Excel file formats including complex workbooks with formulas and formatting.

Which sheet gets converted?

The converter reads the first sheet in your workbook. If you have data on a different sheet, move it to the first position or copy it to a new workbook before uploading.

Is my Excel data safe?

Yes. The conversion runs entirely in your browser using JavaScript and the SheetJS library. Your Excel file is never uploaded to any server. This makes it safe for financial data, employee records, and any sensitive business information.

How does the converter handle dates and numbers?

Numbers are kept as numeric values (unquoted in SQL). Dates are converted to their string representation. Empty cells become NULL values. Boolean values are converted to 1 (true) or 0 (false).

Can I convert Excel files with formulas?

Yes. The converter reads the computed values of formula cells, not the formulas themselves. SUM, VLOOKUP, IF, and any other formula results are included as actual data values in the generated SQL.

Need to generate, fix, or optimize SQL?

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