Excel to SQL Converter Online – Free & Fast XLS/XLSX to SQL Query Generator (INSERT, UPDATE, DELETE)

About Excel to SQL Converter

The Excel to SQL Converter allows you to upload one or multiple Excel files and automatically convert them into SQL script files. The tool reads Excel data, detects column types, generates optional CREATE TABLE statements, and produces batch INSERT queries ready for database execution.

It simplifies the process of transforming spreadsheet data into structured SQL format.

What Is an Excel File?

An Excel file (.xlsx or .xls) is a spreadsheet file format used to store tabular data in rows and columns. Each column represents a field, and each row represents a record.

Excel files are commonly used for:

• Storing structured datasets

• Managing reports

• Organizing records

• Exporting data for processing

This tool accepts both .xlsx and .xls formats.

What Is an SQL File?

An SQL file (.sql) contains SQL statements used to create database tables and insert records into them.

In this tool, the generated SQL file may include:

• A CREATE TABLE IF NOT EXISTS statement

• Multiple INSERT INTO statements

The output SQL file can be executed directly in a database system.

What Is This Excel to SQL Tool?

This tool converts uploaded Excel files into SQL script files by:

1. Reading Excel data using pandas

2. Detecting column names and data types

3. Generating SQL schema (optional)

4. Creating INSERT statements

5. Saving the SQL file for download

It supports converting multiple Excel files in one session.

Why Convert Excel to SQL?

Converting Excel data into SQL is useful when:

• Importing spreadsheet data into a database

• Preparing bulk insert scripts

• Migrating structured data

• Generating database-ready SQL files

This tool automates the entire process.

Key Features

Multiple File Upload

• Upload one or more Excel files.

• Supports .xlsx and .xls.

• Drag-and-drop support.

• File selection via standard file input.

Automatic SQL File Generation

For each uploaded Excel file:

• A corresponding .sql file is created.

• The SQL file name matches the Excel file name.

Optional CREATE TABLE Statement

You can choose whether to include a CREATE TABLE IF NOT EXISTS statement.

If enabled, the tool:

• Reads column names from Excel

• Detects column data types

• Generates a CREATE TABLE statement using mapped SQL types

Automatic Data Type Mapping

The tool maps Excel data types to SQL types:

• Integer → INT

• Float → FLOAT

• Datetime → DATETIME

• All other types → VARCHAR(255)

This mapping is based on pandas data type detection.

Batch INSERT Statements

Instead of generating one insert per row, the tool:

• Groups rows into batches

• Default batch size: 100 rows

• User can define custom batch size

Each batch generates:

INSERT INTO `table_name` VALUES
(...),
(...),
(...);

This improves structure and manageability of large datasets.

NULL Value Handling

If a cell contains a missing value (NaN), the tool inserts:

NULL

instead of an empty string.

String Escaping

If a string contains a single quote ('), the tool automatically escapes it:

John's → John''s

This prevents SQL syntax errors.

Custom Table Name

Before conversion, the user is prompted to enter a table name.

If left blank, the default table name used is:

my_table

Download Options

After conversion:

• Download each SQL file individually.

• Download all converted files as a ZIP archive.

The ZIP file includes all generated SQL files.

How This Tool Works

Step 1: Upload Excel Files

• Drag and drop or select .xlsx / .xls files.

• Files are temporarily stored on the server.

Step 2: Convert to SQL

When "Convert to SQL" is clicked:

• The tool reads each Excel file.

• Extracts column names and values.

• Detects data types.

• Generates SQL statements.

• Saves .sql file in the converted directory.

Step 3: Download Results

After successful conversion:

• Results section appears.

• Converted files are listed.

• User can download individually or all as ZIP.

SQL Generation Details

CREATE TABLE Structure

If enabled, the tool generates:

CREATE TABLE IF NOT EXISTS `table_name` (
  `column1` DATA_TYPE,
  `column2` DATA_TYPE,
  ...
);

Column names are taken directly from the Excel header row.

INSERT Statement Structure

Data rows are converted into:

INSERT INTO `table_name` VALUES
(value1, value2, ...),
(value1, value2, ...)

Rows are grouped according to the selected batch size.

Error Handling & Validation

The tool includes:

• File type validation (only .xls / .xlsx)

• Upload validation

• Conversion error handling

• Missing file checks

• Invalid request handling

• Graceful fallback if conversion fails

If no files are selected, the tool prevents conversion.

Who Can Use This Tool?

This tool is suitable for:

• Developers

• Database administrators

• Data analysts

• Backend engineers

• Students learning SQL

• Anyone needing to convert Excel data into SQL scripts

The Excel to SQL Converter provides a structured way to transform Excel spreadsheets into SQL script files. It supports multiple file uploads, automatic data type detection, optional CREATE TABLE generation, batch insert statements, and flexible download options.

With built-in validation, batch processing, and safe string handling, this tool streamlines the process of converting structured Excel data into executable SQL format.