Why convert Excel to SQL?
Spreadsheets are how business teams share data—but databases need structured SQL. Whether you are seeding a test environment, migrating legacy Excel records, or turning a CSV export into bulk INSERT scripts, convert Excel to SQL is the fastest path when you do not have an ETL pipeline ready.
This guide walks through the full workflow using the free Convert Excel to SQL tool on ComTools.
Step 1: Prepare your spreadsheet
| Rule | Detail |
|---|---|
| Row 1 | Column headers (required) |
| Data | Starts at row 2 |
| Formats | .xlsx, .xlsm, .xltx, .xltm, .csv |
Legacy .xls |
Save as .xlsx first |
| CSV encoding | UTF-8 recommended; BOM auto-detected |
Clean obvious issues before upload: remove merged header cells, fix duplicate column names, and align date formats (yyyy-MM-dd works best).
Step 2: Upload and choose statement type
Open Convert Excel to SQL and upload your file. In the top bar configure:
- Sheet — pick the worksheet when the workbook has multiple tabs
- Statement type — INSERT (new rows), UPDATE (change existing), DELETE (remove by key), SELECT (verify IDs)
- Table name — e.g.
dbo.Usersor#TempImportfor staging - Database type — SQL Server, MySQL, PostgreSQL, SQLite, or Oracle
Optional toggles: CREATE TABLE, batch INSERT, quoted identifiers.
Step 3: Map columns in the matrix
The mapping matrix is where you convert Excel columns to SQL fields:
- Script column — target database field name
- Include — whether the column participates in the statement
- Generate data — GUID, Today, fixed
1or0for missing values - WHERE / SET — for UPDATE and DELETE
Drag column headers left/right to reorder, downward to remove a column, and resize on the right edge.
Step 4: Generate and download SQL
Click Generate SQL. For small files, copy from the preview. For large outputs (500+ lines), download the .sql file instead.
Run the script on a test database first. Execute in batches of 500–1000 rows for large imports to avoid timeouts and long locks.
Which statement type should I use?
| Goal | Type | More reading |
|---|---|---|
| Load new rows | INSERT | INSERT guide |
| Update existing records | UPDATE | UPDATE guide |
| Delete by primary key | DELETE | DELETE guide |
| Import checklist | Full workflow | Import guide |
Supported databases
When you convert Excel to SQL, pick the dialect that matches your target:
- SQL Server —
dbo.Table,#temptables,N'unicode'strings - MySQL — backtick identifiers when quoted
- PostgreSQL — double-quoted identifiers
- SQLite — lightweight local testing
- Oracle — enterprise deployments
The tool adapts quoting, NULL handling, and identifier syntax automatically.
Common mistakes (and fixes)
| Error | Fix |
|---|---|
| Invalid column name | Match exact DB field names in the mapping matrix |
| Type conversion failed | Clean non-numeric text before integer columns |
| PK violation on INSERT | Use UPDATE instead, or dedupe keys first with Remove Duplicates |
| Garbled Chinese in CSV | Re-save as UTF-8 CSV |
See the full error troubleshooting page for six detailed scenarios.
FAQ
Is Convert Excel to SQL free?
Yes—no signup, no usage limits.
Is my file stored on the server?
Files are processed temporarily and deleted immediately after SQL generation.
Can I convert CSV to SQL?
Yes—upload .csv directly; row 1 must be headers.
How is this different from Excel's "Get Data" import?
This tool generates portable .sql scripts you can review, edit, version-control, and run on any environment—ideal when DBAs require script approval before execution.