Excel to SQL Converter.
Turn spreadsheet rows into INSERT statements in your browser. Multi-sheet workbooks, major SQL dialects—your file never leaves your device.
- Data & API
- Runs in your browser
Nothing leaves your browser
Your spreadsheet is read with the SheetJS library entirely on your device. We do not upload or store your file or generated SQL.
Excel workbook
Upload .xlsx or .xls. The first row of the selected sheet is treated as column names.
No file loaded.
SQL output
Load a workbook and pick a sheet to generate INSERTs.
How it works
Three steps.
- 01
Upload an Excel workbook (.xlsx or .xls). Choose the sheet that holds your data.
- 02
Set the target SQL table name, dialect, and options for batched INSERTs and type inference.
- 03
Copy or download the generated SQL to run in your database client or migration pipeline.
Features
Why use this converter.
Runs locally in your browser
Files are not uploaded to Infyways. Parsing uses SheetJS on your machine; we never store your spreadsheet or SQL.
Multi-sheet workbooks
Pick any sheet by name. The first row is treated as headers; extra columns get stable default names if cells are blank.
Same INSERT engine as CSV to SQL
Dialect-specific quoting and optional multi-row INSERT batches match our CSV converter for consistent output.
Type hints from cells
Optional inference turns plain numbers and true/false text into numeric or boolean literals where appropriate.
Is my Excel file uploaded to your servers?
No. The workbook is read in memory in your browser using JavaScript. Nothing is sent to Infyways for storage or processing.
Which row is the header?
The first row of the selected sheet becomes column names for the INSERT list. Freeze or sort your sheet so row 1 is your field names.
What about merged cells or formulas?
SheetJS reads stored values. Formulas are evaluated to their last saved value when possible. Merged cells can shift layout—unmerge for most predictable columns.
How is this different from CSV to SQL?
Use Excel to SQL when your data is already in a workbook. Use CSV to SQL for plain text exports or piping from other tools.
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