Convert CSV to SQL

Convert CSV to SQL online: paste your data or drop a file and get SQL INSERT statements you can run in MySQL, PostgreSQL, SQLite or SQL Server instantly. Everything runs in your browser.

Your file never leaves your device.

How to convert CSV to SQL

Developers, analysts and marketers move data between CSV and SQL constantly. This converter parses the CSV with a strict, standards-compliant parser and produces SQL INSERT statements you can run in MySQL, PostgreSQL, SQLite or SQL Server. You can paste text straight from your editor or clipboard, preview the result and download it, without sending your data to a server.

Step 1: Choose your CSV file
Drop a .csv file onto the converter, pick it from your device, or paste the CSV text directly.
Step 2: Check the preview
The SQL output appears immediately so you can verify it before saving.
Step 3: Download the SQL
Save each result individually, or download everything as a single ZIP when you convert several files.

Good to know

The first row is treated as the header row. The delimiter is detected automatically, including semicolons used by European Excel exports.
The table name defaults to the file name and column types are inferred (INTEGER, REAL or TEXT). Review them before running the script in production.
Invalid input is reported with a clear error instead of producing a broken file.

Why use this CSV to SQL converter?

Paste text or upload a file, whichever is faster.
Strict parsing with clear error messages.
Standards-compliant SQL output with correct escaping.
Private by design: data never leaves your browser.

Is it free?

Yes. Converting CSV to SQL is free, with no watermark, signup or email required. Local conversions have no artificial file-size or daily cap; the practical limit is your device.

Is my file uploaded?

The CSV file is processed entirely in your browser. It is never uploaded, never stored and never seen by anyone, so this is safe for confidential files.

About the formats

What is CSV?

CSV (comma-separated values) is a plain-text format that stores tabular data, one row per line and fields separated by commas. It needs no special software: any text editor, spreadsheet application or database can read it. Because of its simplicity, CSV is the universal interchange format between databases, spreadsheets and other programs.

Use CSV whenever you need to move tabular data between systems, exporting a database, importing contacts or sharing a table with someone who uses different software. Choose CSV when plain, predictable data matters more than formatting.

CSV (Comma-Separated Values)

What is SQL?

An .sql file is a plain-text script written in SQL (Structured Query Language), the standard language for relational databases. It can contain statements that create tables, insert rows, update data or run queries. Tools such as mysqldump and pg_dump export whole databases as .sql files, although each database system adds its own dialect.

Use SQL files to back up or migrate a database, to share a schema with your team or to keep database changes under version control. When importing, make sure the script matches the dialect of your database, as MySQL, PostgreSQL and SQLite syntax differ in places.

SQL (Structured Query Language script)

Frequently Asked Questions

Is CSV to SQL conversion free?

Yes. It is free, with no watermark, signup or email required. Local conversions have no artificial file-size or daily cap; the practical limit is your device.

Is there a size limit for CSV to SQL?

Local conversions have no fixed file-size cap; the practical limit is your device's available memory. Because everything runs locally, speed depends on your device.

Is it safe to convert csv to sql here?

Yes. The work happens on your own device with WebAssembly and browser APIs, so the file is not uploaded at all. You can even disconnect from the internet once the page has loaded.

Do I need to install anything?

No. Everything runs in a modern browser (Chrome, Edge, Firefox or Safari) on Windows, macOS, Linux, Android and iOS. There is no app, plugin or account.

DataProcessed locally