What SQL syntax does this tool generate?

It generates generic ANSI-style INSERT statements compatible with most relational databases.

Does it create CREATE TABLE statements?

No — this tool focuses on INSERT statements. Create table schemas separately with proper column types.

How are values escaped?

Single quotes are escaped by doubling them to prevent SQL syntax errors.

Can I specify the table name?

You can edit the generated SQL to replace the placeholder table_name with your desired table name.

Will NULL values be handled?

Empty cells are converted to empty strings. For NULL handling, edit the SQL output as needed before import.

Is this safe for sensitive data?

All processing occurs in your browser; files are not uploaded to our servers, preserving privacy.

Can I process large CSV files?

Yes, but very large files may be limited by your browser's available memory.

Can I edit headers before conversion?

Yes, edit header values in the preview to set correct column names before generating SQL.

How do I import the generated SQL?

Use your database client or command-line import tools to run the generated .sql file against your database.

Is the CSV to SQL converter free?

Yes, the converter is free to use and does not require registration.

CSV To SQL Converter

Upload a CSV file, preview it, and convert it into SQL INSERT statements.

📂 Upload CSV

No file uploaded yet. Upload a CSV to preview its content here.

✅ Conversion Successful!

SQL Output Preview

Copy or download the generated SQL code below.

Convert CSV To SQL - Generate Database Insert Queries

The CSV to SQL tool converts your CSV data into ready-to-use SQL INSERT statements. It generates generic SQL insert queries that are compatible with most relational databases (MySQL, PostgreSQL, SQLite, SQL Server, etc.). Use it to import spreadsheet exports into databases, seed test data, or migrate CSV datasets into SQL-driven systems.

What is CSV to SQL Conversion?

CSV to SQL conversion transforms comma-separated values (CSV) files into SQL commands that insert the CSV rows into a database table. The tool reads header row values as column names and creates properly escaped INSERT INTO table_name (col1, col2, ...) statements for each row.

How to Use CSV to SQL

Step 1: Upload CSV File

Click the 📂 Upload CSV button and select a CSV file from your device. The CSV content will display in the preview table for verification.

Step 2: Review and Edit

Check the parsed table and make inline edits if necessary. The preview is editable so you can fix headers, trim whitespace, or correct values before conversion.

Step 3: Generate SQL

Click the 🔄 Convert button to generate SQL INSERT statements. The tool escapes single quotes and other special characters automatically to prevent syntax errors.

Step 4: Copy or Download SQL

Copy the generated SQL to your clipboard or download it as a .sql file. You can then run the SQL in your database client or include it in migration scripts.

Key Features

Generates standard SQL INSERT statements compatible with most RDBMS
Uses the first CSV row as column names
Escapes single quotes and preserves data integrity
Editable preview to correct values before export
Copy to clipboard and download as .sql
Client-side processing — no file uploads

Why Use This CSV to SQL Tool?

This tool saves time when importing CSV data into databases or generating seed data for development and testing. It creates clear, portable SQL that you can run in virtually any SQL environment without manual string-building.

Common Use Cases

Seeding test and development databases with CSV exports
Migrating spreadsheet data into relational databases
Preparing bulk insert scripts for data import
Generating SQL for backups, demos, or data sharing

Frequently Asked Questions (FAQs)

1. What SQL dialect does the tool generate?

The tool generates standard SQL INSERT statements (ANSI-style) that are compatible with most databases — MySQL, PostgreSQL, SQLite, SQL Server, and others.

2. How are column names handled?

The first row of your CSV is used as column names. If header values contain spaces, consider editing them in the preview before conversion.

3. How does the tool handle quotes and special characters?

Single quotes in values are escaped by doubling them (e.g., O'Reilly → 'O''Reilly') to produce valid SQL strings.

4. Can I choose the target table name?

Yes — edit the generated SQL and replace table_name with your desired table identifier before executing.

5. Does it create table schemas?

No. The tool focuses on generating INSERT statements. Use your database client or a separate script to create the target table with appropriate column types.

6. Can I convert CSV files without headers?

Yes. If headers are missing, the tool will use generic column names (e.g., column1, column2) in the generated SQL.

7. Is there a limit to CSV size?

There’s no enforced limit, but very large files may be constrained by your browser memory and device performance.

8. Is my CSV uploaded to your servers?

No. All parsing and SQL generation occur locally in your browser. We do not upload or store your files.

9. Can I use the output in bulk import tools?

Yes. The generated .sql file with multiple INSERT statements can be used with database import utilities and clients.

10. Is this tool free to use?

Yes. The CSV to SQL converter is free and requires no registration or installation.