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CSV to SQL Converter

Turn CSV rows into import-ready SQL with a complete table definition, safely quoted identifiers, escaped values, and transaction-wrapped inserts.

Optional. If blank, the CSV filename becomes the table name.
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Private conversion
Values safely escaped
Automatic daily cleanup

How to Convert CSV to SQL

Build a ready-to-import SQL script from comma-separated data in three simple steps.

01

Upload Your CSV

Select a UTF-8 .csv file. The first non-empty row is used for SQL column names.

02

Set the Table Name

Enter a valid table name or leave it blank to create one automatically from the filename, then start conversion.

03

Download SQL

Download the .sql script containing the table definition and one escaped INSERT statement for every CSV record.

Why Use Our CSV to SQL Converter?

A dependable way to prepare spreadsheet-style data for MySQL or MariaDB imports.

Complete Table Script

The output begins with CREATE TABLE IF NOT EXISTS and defines every normalized CSV column as nullable text.

Safely Escaped Values

Single quotes inside data are doubled for SQL safety, while identifiers are protected with MySQL-style backticks.

Import-Friendly Output

Insert statements are wrapped in a transaction, making the generated script organized and straightforward to review.

What Is a CSV File?

CSV stands for Comma-Separated Values. It stores table data as plain text, with commas separating fields and line breaks separating records. Quoted fields can safely contain commas, quotation marks, and line breaks.

Why convert CSV to SQL?

CSV is convenient for exports and spreadsheets, but relational databases need table definitions and insert queries. Converting CSV to SQL prepares the same information for database migration, testing, backups, seed data, and application imports.

Predictable database structure

The first non-empty CSV row becomes the column list. Blank headers receive automatic names and duplicate headers receive numbered suffixes. All columns use TEXT NULL, actual cells stay quoted strings, and missing trailing cells become SQL NULL, avoiding unwanted changes to leading zeros, dates, and identifiers.

Frequently Asked Questions

Helpful answers about SQL compatibility, table creation, escaping, and file handling.

How do I convert a CSV file to SQL?

Upload your .csv file, click “Convert to SQL,” and download the generated .sql file after processing finishes.

Which databases support the generated SQL?

The script uses MySQL and MariaDB-compatible identifier quoting, table creation, transactions, and insert syntax.

Is this CSV to SQL converter free?

Yes. The tool can be used without registration or special conversion software.

Does the SQL file create a table?

Yes. It includes a CREATE TABLE IF NOT EXISTS statement before the generated INSERT statements.

How are quotes and missing cells handled?

Single quotes are escaped by doubling them. Missing trailing cells become SQL NULL, while present empty cells remain empty strings.

What are the file limits?

The upload limit is 25 MB, with a maximum of 50,000 data rows and 500 columns.

Are uploaded files kept on the server?

The original CSV is deleted immediately after conversion. Generated SQL files older than 24 hours are removed automatically.

Why is my CSV file not converting?

The file may not be UTF-8, may contain rows with more fields than the header, may exceed a limit, or the upload folder may not be writable.