CSV to SQL Converter — Free Online Tool

Convert CSV files to SQL INSERT statements in seconds. Upload your comma-separated data, set the table name, and get ready-to-run SQL queries. No signup required — your data stays in your browser and is never uploaded to any server.

Upload CSV

Drag & drop your CSV file here, or browse

Supports .csv files up to any size

Table Name

Generated SQL

Upload a CSV file and click Convert

How to Convert CSV to SQL in 3 Steps

Upload Your CSV File

Drag and drop your .csv file into the upload area, or click to browse your files. The first row of your CSV is automatically used as SQL column names.

Set Your Table Name

Enter the SQL table name you want in the INSERT statements. The default is "my_table" — change it to match your database schema.

Copy Your SQL

Click "Convert to SQL" and your INSERT statements appear instantly. Use the copy button to paste them directly into your database client or migration script.

Why Developers Choose Our CSV to SQL Converter

Built for speed, privacy, and compatibility — everything you need to turn spreadsheet data into database-ready SQL.

Instant Browser-Based Conversion

The entire conversion runs in your browser using JavaScript. No waiting for server responses, no upload/download latency — results appear the moment you click convert.

100% Private — Zero Data Upload

Your CSV data never leaves your machine. No files are sent to any server, making this safe for sensitive production data, customer records, and confidential datasets.

Auto-Detect Column Headers

Column names are automatically extracted from the first row of your CSV. Each subsequent row becomes an INSERT statement with properly mapped values.

Works With Any SQL Database

Generates standard ANSI SQL INSERT statements compatible with MySQL, PostgreSQL, SQLite, MariaDB, SQL Server, Oracle, and CockroachDB.

Smart Value Handling

Numbers stay unquoted, empty fields become NULL, and strings are properly escaped with single quotes. Handles special characters and multi-line values.

No Row Limits

Convert CSV files with thousands of rows without any artificial limits. Processing speed depends only on your device since everything runs locally.

Common Use Cases

Database Seeding

Populate development or staging databases with test data exported from spreadsheets.

Data Migration

Move data from flat files or legacy systems into a relational database quickly.

Bulk Imports

Import product catalogs, user lists, or transaction records from CSV exports into your database.

Quick Prototyping

Generate INSERT statements for rapid prototyping without writing SQL by hand.

Frequently Asked Questions

Is this CSV to SQL converter free?

Yes. Guest users get 5 free conversions per day with no signup. Create a free account for unlimited conversions, forever. There are no hidden fees or paywalls on the core converter functionality.

Is my CSV data safe and private?

Your CSV data never leaves your computer. The conversion runs entirely in your browser using JavaScript — no files are uploaded to any server. This makes it safe for sensitive production data, customer records, financial exports, and confidential datasets.

What CSV formats are supported?

Standard comma-separated values (RFC 4180) with the first row used as column headers. Supports quoted fields, escaped characters, UTF-8 encoded data, and fields containing commas or newlines within quotes.

Which databases work with the generated SQL?

The generated INSERT statements use standard ANSI SQL syntax. They work with MySQL, PostgreSQL, SQLite, MariaDB, Microsoft SQL Server, Oracle, CockroachDB, and any other database that supports standard INSERT syntax.

How many rows can I convert at once?

There is no row limit. Since the conversion runs in your browser, performance depends on your device. Files with tens of thousands of rows convert in seconds on most machines. For very large files (100k+ rows), performance will vary by browser and device memory.

Can I change the table name in the SQL output?

Yes. Enter your desired table name in the "Table Name" field before converting. Column names are automatically taken from the first row of your CSV file and used in the INSERT statements.

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