What file size is supported?

Since everything runs in your browser, file size depends on your device memory. Most files up to 50MB work smoothly.

Convert Excel to SQL Online — Free & Instant

Free online Excel to SQL converter. No upload required — all conversion happens in your browser. Supports drag & drop, paste, and file upload.

Input — Excel

Drag & drop your Excel file here

or click to browse · or paste data below

Output — SQL

Data Preview

Your parsed data table will appear here after conversion.

How to Convert Excel to SQL

Upload or Paste

Drag & drop your Excel file into the input area, or paste your data directly.

Configure Options

Adjust conversion settings like formatting, delimiters, and other SQL-specific options.

Convert & Download

Click Convert, then copy the result or download it as a .sql file.

Excel to SQL: Multi-Sheet & Auto Type Detection

Upload an Excel file with multiple sheets and each sheet becomes a separate SQL table. Our converter automatically detects column types from your data.

📁 How to Structure Your Excel File

Create your Excel file with these rules:

Sheet Name = Table Name — Name each sheet what you want the SQL table to be called (e.g., "employees", "departments")
Row 1 = Column Headers — The first row of each sheet must contain the column names
Row 2+ = Data Rows — All subsequent rows are treated as data to be inserted
Consistent Data Types — Keep data types consistent within each column for accurate type detection

employees

departments

id	name	salary	is_active	join_date	bio
1	Alice	85000.50	true	2022-03-15	Senior dev...
2	Bob	72500.00	false	2023-01-10	Junior eng...

🔍 Automatic Column Type Detection

The converter analyzes your data and assigns the correct SQL type:

Your Data Looks Like	Detected SQL Type	Example Values
Whole numbers	`INT`	1, 42, -100, 2024
Decimal numbers	`DECIMAL(10,2)`	85000.50, 3.14, -0.5
true/false/yes/no	`BOOLEAN`	true, false, yes, no
Date format	`DATE`	2024-03-15, 03/15/2024
Date + time	`DATETIME`	2024-03-15 14:30:00
Short text (<100 chars)	`VARCHAR(N)`	Alice, [email protected]
Long text (>255 chars)	`TEXT`	Long descriptions, bios...

📤 Generated SQL Output

CREATE TABLE `employees` (
  `id` INT NOT NULL,
  `name` VARCHAR(50) NOT NULL,
  `salary` DECIMAL(10,2) NOT NULL,
  `is_active` TINYINT(1),
  `join_date` DATE,
  `bio` TEXT
);

INSERT INTO `employees` (`id`, `name`, `salary`, `is_active`, `join_date`, `bio`) VALUES
  (1, 'Alice', 85000.50, 1, '2022-03-15', 'Senior dev...'),
  (2, 'Bob', 72500.00, 0, '2023-01-10', 'Junior eng...');

-- Each sheet generates its own CREATE TABLE + INSERT

About Excel Format

Microsoft Excel spreadsheet format (.xlsx, .xls). The most widely used spreadsheet format for business data, financial reports, and tabular information.

Common file extensions: .xlsx. Excel is widely used in data processing, web development, and enterprise integrations. Our free Excel to SQL converter makes it easy to transform your data instantly.

About SQL Format

Structured Query Language. Used to define database schemas and insert data through CREATE TABLE and INSERT INTO statements.

Output file extension: .sql. Convert from Excel to SQL in seconds using our browser-based tool — no software installation needed.

Related Conversion Guides

Check out our blog for in-depth guides on data conversion:

Frequently Asked Questions

Yes, completely free with no limits. No registration required. Use our Excel to SQL converter as many times as you need.

Absolutely. All conversion happens in your browser using JavaScript. Your data never leaves your device — nothing is uploaded to any server. This makes ConvertMatrix one of the most private file converters available.

Since everything runs in your browser, file size depends on your device's memory. Most Excel files up to 50MB work smoothly. For larger files, check our batch conversion guide.

Currently one file at a time. For batch conversion, check our batch conversion guide which covers Python, Node.js, and CLI approaches.

Excel can be converted to many formats including: Word, CSV, JSON, XML, Markdown, HTML, LaTeX, MediaWiki, YAML, TOML, INI, PHP Array, and more.