Convert CSV to SQL

Generate ready-to-execute SQL INSERT statements from CSV files. Features smart escaping, auto-schema creation, and OOM protection.

4.8/5 - 1,928 votes

Drag & Drop CSV files

or click to browse from your device

Table of Contents

Convert CSV into SQL Statements

Turn your static data files into executable SQL scripts. Populate your database in seconds.

1

Upload CSV

Select your file. We support comma-separated files with any standard encoding.

2

Configure Table

Optional: Set a custom table name. Our engine auto-generates the CREATE TABLE schema.

3

Download SQL

Get a .sql file containing thousands of INSERT commands ready to run.

DBA Approved

Manually writing INSERT statements is prone to errors. Our tool automates escaping and formatting, saving you hours of tedious work.

Built for Databases

Production Grade

Designed to handle the quirks of real-world data and SQL syntax barriers.

Auto Table Creation

We scan your CSV headers and create a matching `CREATE TABLE` command at the start of your script.

Smart Escaping

Got O'Neal in your user list? No problem. We properly escape single quotes to prevent SQL syntax errors.

Big Data Ready

Our chunked backend processes large CSVs incrementally, so you can migrate huge datasets without memory leaks.

Universal SQL

The output is compatible with almost any RDBMS: MySQL, MariaDB, PostgreSQL, SQLite, and Microsoft SQL Server.

Format Breakdown
FeatureCSVSQL
FormatPlain TextExecutable Commands
ActionableRequires ParsingReady to Run
SchemaImplicit (Headers)Explicit (CREATE TABLE)
Ideal ForStorage / TransferDatabase Seeding

Who Needs This?

Essential for anyone managing databases or migrating legacy data.

Database Admins

  • Seed testing environments
  • Migrate legacy data
  • Backups restoration

Backend Devs

  • Populate local DBs
  • Generate migration scripts
  • Convert logs to DB

QA Engineers

  • Load mock data for tests
  • Reproduce bugs with data
  • Stress test DBs

Trusted by DBAs

Join professionals who use our tool for secure and fast data migrations.

"The chunking feature is a lifesaver. Other online converters crashed on my 20MB file, but this one handled it perfectly."

A
Alex Rivera
DevOps Engineer

"I love that it generates the CREATE TABLE statement too. Saves me from manually typing out all the columns."

P
Priya Patel
Backend Dev

"Quickest way to get a CSV dump into my local MySQL instance. The quote escaping works flawlessly."

T
Tom Bartlett
Data Analyst
Backend Logic

Safe Injection via
Chunked Processing.

Generating SQL from massive CSV files is risky. Loading a 1GB file into memory to generate INSERT statements often crashes browsers and even servers.

We solved this with a Chunked Pipeline. Our Python backend reads your CSV in blocks of 5000 rows. For each block, we generate the corresponding SQL statements and stream them to the output buffer. This allows us to process files much larger than available RAM.

Security is paramount. We don't just concatenate strings. Our engine automatically sanitizes inputs—escaping single quotes (`'`) to (`''`)—to prevent accidental SQL injection or syntax errors when you run the script against your database.

Safe Escaping Engine

Quote Escaping

Handles O'Connor and other edge cases.

Low Latency

Stream-based architecture for speed.

Auto Schema

Generates CREATE TABLE automatically.

Why Convert CSV to SQL?

CSV files are great for transport but terrible for querying. To perform complex joins, filtering, or aggregations, you need that data in a Relational Database Management System (RDBMS).

The Challenge:

Writing `INSERT` statements manually for thousands of rows is impossible. Naive scripts often fail because they don't handle special characters (like quotes within text) or data types correctly.

Our Solution:

We provide a robust converter that not only formats the data but also handles the schema generation, making the migration process seamless.

SQL Dictionary

DDL

Data Definition Language. Commands like CREATE TABLE that define structure.

DML

Data Manipulation Language. Commands like INSERT that handle data.

Escaping

Handling special characters (like quotes) so they are treated as text, not code.

Transaction

A unit of work. Inserting thousands of rows is often faster in a single transaction.

Tips for Successful Imports

Clean Filenames

We use your filename as the default table name. Avoid spaces and strange characters in the file name for the validity of SQL syntax.

Review Types

We default all columns to `TEXT` to prevent data loss. After import, you may want to `ALTER TABLE` to change columns to INT or DATE for better performance.

Frequently Asked Questions

Secure Data Pipeline

Zero Trust
Architecture.

Your databases contain your business's most valuable information. We respect that by ensuring your data never persists on our servers.

Temporary Processing

Files are processed in RAM and deleted immediately upon completion.

TLS 1.3 Encryption

End-to-end encryption ensures no one can intercept your data during upload or download.

System Status
100%
Ephemeral
0
Logs Kept
"Security isn't a feature; it's our baseline. Your data is yours alone."

About the Author

Author

Abu Nayem

SaaS Architect & Full Stack Dev

Building high-performance tools with Next.js and Python. Focused on privacy-first architecture and seamless UX.

ProfileContact