Excel to SQL Converter

Excel to SQL Converter Guide

This online Excel to SQL converter helps you quickly turn spreadsheet data into SQL INSERT statements and optional CREATE TABLE scripts. It is perfect for importing Excel data into relational databases without writing SQL by hand.

Key Features

• Excel file support: Upload .xlsx or .xls files from Excel, Google Sheets, or other tools.
• Sheet selection: Choose which worksheet you want to convert when your workbook has multiple sheets.
• Header detection: Use the first row as column names, or generate generic column_1, column_2 headers.
• CREATE TABLE generation: Optionally build a simple CREATE TABLE table_name (...) statement using the detected columns.
• INSERT statements: Generates one INSERT INTO statement per row with properly quoted string values.
• Safe quoting: Single quotes in cells are escaped (' → '') to keep your SQL valid.
• One‑click copy and download: Copy the entire SQL script or download it as a .sql file.

How to Convert Excel to SQL INSERT Statements

1. Upload your Excel file: Drag and drop a .xlsx / .xls file or click the upload area to browse.
2. Select the sheet: If your workbook contains multiple sheets, pick the one you want from the Sheet dropdown.
3. Set the table name: Enter a descriptive SQL table name (for example, customers or orders_2025).
4. Choose header options: Keep “First row is header” enabled if your first row contains column titles.
5. Include CREATE TABLE (optional): Enable “Include CREATE TABLE” if you also want a basic table definition.
6. Review the SQL output: Scroll through the generated CREATE TABLE and INSERT INTO statements.
7. Copy or download: Use the Copy button to paste into your SQL client, or Download to save a .sql file.

Example: Excel to SQL

Imagine an Excel sheet with the following data:

• Row 1 (headers): id, name, email
• Row 2: 1, Alice, alice@example.com
• Row 3: 2, Bob, bob@example.com

The generated SQL might look like:

• CREATE TABLE my_table ( id TEXT, name TEXT, email TEXT );
• INSERT INTO my_table (id, name, email) VALUES (1, 'Alice', 'alice@example.com');
• INSERT INTO my_table (id, name, email) VALUES (2, 'Bob', 'bob@example.com');

You can run this script directly in MySQL, PostgreSQL, SQLite, SQL Server, or any database that accepts standard INSERT statements.

Popular Use Cases

• Data migration: Move legacy or one‑off Excel data into a SQL database table.
• Bulk inserts: Generate a batch of INSERT INTO statements from spreadsheet exports.
• Prototyping & testing: Create quick SQL datasets for demos, QA environments, or local development.
• Reporting & backups: Keep a SQL script version of critical Excel reports for archival or re‑loading later.

Benefits of This Excel to SQL Tool

• No manual SQL writing: Save time by auto‑generating SQL instead of typing every row by hand.
• Consistent structure: Ensures all INSERT statements share the same column order and quoting rules.
• Database‑agnostic: Output is plain SQL text that works with most relational database engines.
• Free and instant: Convert Excel to SQL online in seconds without registration or downloads.

FAQ

Which Excel formats are supported?

The converter accepts .xlsx and .xls files. If you are using Google Sheets, export as Excel first and then upload.

Does the tool detect numeric types automatically?

Values are exported as text or numeric literals based on the underlying Excel cell type. For simplicity, the generated CREATE TABLE statement uses TEXT columns, but you can edit column types (for example, INT, DECIMAL, DATE) before running the SQL.

Can I use the SQL in MySQL, PostgreSQL, or SQLite?

Yes. The generated INSERT statements are standard SQL. You may want to tweak the CREATE TABLE syntax (such as quoting identifiers) for specific database dialects.

Is my Excel data uploaded to your server?

No. The entire Excel to SQL conversion runs locally in your browser. Your spreadsheets are not sent to any remote server, which keeps your data private.

What if my table already exists?

Simply uncheck “Include CREATE TABLE” and only use the generated INSERT statements against your existing database table.