Importing data from tables into a database is a routine task that often presents challenges: incorrect encoding, syntax errors, or issues with .xlsx formats. Our online tool makes this process a breeze. It automatically generates clean and valid INSERT INTO queries right in the browser.

Whether you're working with MySQL, PostgreSQL, SQLite, or MS SQL, the converter adapts the syntax to the specifics of your specific DBMS, eliminating the need to manually escape special characters.

Why use a CSV to SQL converter?

When standard import tools (such as LOAD DATA INFILE or built-in wizards in GUI clients) are unavailable or too cumbersome, converting text to SQL queries is the best solution. This is especially relevant for:

• Data migration: Quickly transfer small directories or settings.
• Development and testing: Populating local tables with test data from Excel.
• Data cleaning: The ability to visually check SQL code before executing it in the database.

How to convert CSV/Excel to SQL INSERT: step-by-step instructions

1. Upload data: Copy the text from your CSV file and paste it into the left window, or click the "Upload file" button to select a .csv, .xls, or .xlsx document.
2. Configure Parameters:
   • Specify the separator (default is a comma, but tabs are also supported).
   • Select the target database to correctly frame table and field names.
   • Enter the name of the table into which the rows will be inserted.
3. Select the insert mode: The Batch Insert option combines multiple rows into a single query (VALUES (...), (...), (...)), significantly speeding up execution in the DBMS.
4. Get the result: The SQL code will instantly appear in the right window. Click it to copy it to the clipboard.

Conversion Examples

Example 1: Standard CSV (MySQL)

Input data:

Result with Batch Insert enabled:

Example 2: Complex data with quotes (PostgreSQL)

The tool correctly handles quotes within strings, automatically escaping them for query security.

Technical Features Tool

Our service is more than just a text parser. We've implemented logic that takes into account the nuances of professional database work:

• Smart type detection: Numbers and Boolean values ​​(true/false) are detected automatically and inserted without quotes, preventing data type errors in SQL.
• Identifier escaping: For MySQL, backticks ` are used, for MS SQL - square brackets [], for PostgreSQL - Double quotes ".
• Excel support: Thanks to the integration of the xlsx.js library, you can upload files directly from the spreadsheet program without saving them to CSV.
• Security: All calculations occur client-side (in your browser). Your confidential data is not sent to the server.

Frequently Asked Questions (FAQ)

How to convert Excel to SQL without losing encoding?

Simply upload your .xlsx file using the upload button. Our parser correctly handles UTF-8 encoding, preserving Cyrillic and special characters in their original form.

What is Batch Insert and why is it needed?

This is group insertion data. Instead of 100 separate queries, one large one is generated. This reduces the load on the database transaction log and speeds up the import process dozens of times.

How are empty cells handled?

If a cell in a CSV or Excel file is empty, the envelopep will automatically replace it with the keyword NULL (without quotes), which is the standard for empty values ​​in SQL.

Are semicolon-delimited files supported?

Yes. In the "Delimiter" field, you can specify any character, including ; or |, and the generator will adapt to the structure of your file.

Need to quickly populate a database or prepare a migration script? Use our free CSV to SQL converter to get clean, optimized, and ready-to-run code.