Convert XLSX to SQL Online Free — No Upload, Ready-to-Run Scripts

How to Convert Excel to SQL Online

1. Drop one or more .xlsx, .xlsm, or .xls workbooks — everything is processed locally and never uploaded.
2. Click Convert to SQL — every populated worksheet becomes a CREATE TABLE plus batched INSERT statements.
3. Check the report — each file lists the worksheets converted, the number of tables, and the total data rows exported.
4. Download the result — the script downloads as a .sql file; multiple files come back as a ZIP.

How It Works

This tool converts Excel data to SQL. Internally: it reads the .xlsx workbook (ZIP of XML parts) in the browser, extracts the tabular data from each worksheet, infers column types (text, integer, real, etc.) from the data, generates CREATE TABLE and INSERT statements, and packages the result as a .sql file. All local — no upload, no database connection needed.

Compared to Hand-Written Export Scripts

The usual way to get Excel data into SQL is writing a Python/pandas script or a loader utility — which means setting up an environment, handling type inference yourself, and debugging edge cases. This tool generates ready-to-run SQL instantly, no code, no setup.

How Column Types Are Inferred

Every column is scanned across all data rows to pick the most suitable SQL type. Table and column names are wrapped in double quotes — the SQL standard for identifiers — so spaces, mixed case, and reserved words survive intact, and any double quote inside a name is doubled to stay safe.

A column whose cells are all empty falls back to TEXT. Dates are written as ISO 8601 string literals (for example ‘2024-05-01T00:00:00.000Z’), so the output does not depend on any database-specific date syntax.

Escaping, NULLs, and Batching

String values are wrapped in single quotes with internal quotes doubled: O'Brien becomes ‘O''Brien’, so no input can break out of the literal. Empty cells and empty strings are both written as NULL, which keeps placeholder text out of your database.

INSERT statements are batched at 100 rows — one statement carrying 100 value tuples. That keeps the script compact while staying far inside the statement size limits of PostgreSQL, MySQL, and SQLite.

The script contains no BEGIN/COMMIT. If you want all-or-nothing importing, wrap it in a transaction yourself: BEGIN; <paste the script>; COMMIT;

What the Converter Does Not Do

• Formulas are exported as their cached results — the SQL sees values, not formulas.
• Formatting, merged cells, charts, and images have no SQL equivalent and are skipped.
• Header cells that are empty become positional names: column1, column2, and so on.
• One worksheet becomes one table, named after the sheet — a workbook with three sheets produces three CREATE TABLE statements.