Free CSV to SQL Converter Online - TestMu AI (Formerly LambdaTest)

How to use the CSV to SQL converter?

The converter parses your CSV, infers a schema, and reassembles the rows as SQL. Follow these steps to generate ready-to-run statements:

• Add your CSV: paste it into the CSV Input box, upload a .csv or .tsv file, or press the sample button to load an example.
• Set the table name and dialect: name the target table and pick MySQL, PostgreSQL, SQLite, SQL Server, or Oracle.
• Tune the options: choose the delimiter, toggle header detection, type inference, CREATE TABLE, DROP TABLE, batch INSERT, and NULL handling.
• Read the output: with Auto update on, the SQL refreshes as you type, or press Convert to SQL to run it on demand.
• Copy or download: use the copy button or download the statements as a .sql file for your migration.

Difference between CSV and SQL

It helps to know what you are pasting in versus what you get out. CSV is a flat text format that stores rows of values, while SQL is the language and statements that define and populate a database table. The table below sums up how the two differ:

Features of the CSV to SQL converter

As a tool, the CSV to SQL converter offers a few capabilities that make generating SQL effortless. Here are the features of our converter:

• Five SQL Dialects: Output is rewritten for MySQL, PostgreSQL, SQLite, SQL Server, or Oracle, so identifier quoting and type names match your database.
• Automatic Type Inference: Each column is scanned for the narrowest fit, mapping rows to BOOLEAN, INTEGER, decimal, DATE, timestamp, VARCHAR, or TEXT.
• RFC 4180 Parsing: Quoted fields, embedded commas, line breaks, and doubled double quotes inside cells are parsed without corrupting your rows.
• Flexible Statements: Toggle CREATE TABLE, DROP TABLE, and a multi-row batch INSERT independently to control exactly which SQL appears.
• Delimiter Control: Auto-detect or set comma, semicolon, tab, or pipe delimiters so TSV and other separated files convert correctly.
• Browser-Based Processing: All parsing and SQL generation run locally in your browser, so your CSV rows are never uploaded to a server.

Use cases of the CSV to SQL converter

Turning rows into SQL is useful anywhere a spreadsheet or export needs to become a real table. The converter speeds up each of these workflows by generating the schema and INSERT statements for you:

• Seeding Test Data: Turn a CSV of fixtures into INSERT statements to seed a database for automated checks across browsers and devices.
• Database Migration: Move a spreadsheet export into a real table without writing the CREATE TABLE schema by hand.
• Prototyping: Stand up a sample table in SQLite or PostgreSQL from a CSV in seconds, then iterate on queries.
• Bug Reproduction: Convert a customer-supplied CSV into seed data so a defect can be reproduced against a known dataset.
• Learning SQL: Compare CREATE TABLE and INSERT output across dialects to see how each database quotes identifiers and names types. For related formats, try the CSV to JSON and CSV to XML converters, or generate SQL from a prompt with the Text to SQL tool.

This converter is maintained by TestMu AI (formerly LambdaTest), the team behind a unified testing platform that runs checks across 10,000+ real devices and 3000+ browsers, so it is built for the seed-data and migration tasks QA engineers rely on. All processing happens in your browser, so the records in your CSV never leave your device.

Frequently Asked Questions (FAQs)

What is a CSV to SQL converter?

A CSV to SQL converter reads comma-separated values and generates SQL statements that recreate the data in a database. This tool builds a CREATE TABLE statement with inferred column types and INSERT statements for every row, ready to paste into a SQL client.

Which SQL databases does this tool support?

The converter generates dialect-specific SQL for MySQL, PostgreSQL, SQLite, SQL Server, and Oracle. Each dialect uses the correct identifier quoting, data type names, and boolean handling so the output runs without manual edits.

Does the CSV to SQL converter run in my browser?

Yes. All parsing and SQL generation happen in your browser with client-side JavaScript, so your CSV data is never uploaded to a server. Private records and table contents stay on your device.

How does the tool decide the column data types?

With type inference on, the tool scans every value in a column and picks the narrowest type that fits: BOOLEAN, then INTEGER, then a decimal type, then DATE or a timestamp type, and finally a VARCHAR sized to the longest value or TEXT when values exceed 255 characters. You can switch inference off to make every column a string type.

Does it handle quoted fields, commas, and line breaks inside cells?

Yes. The parser follows RFC 4180, so fields wrapped in double quotes can contain commas, line breaks, and escaped double quotes written as two double quotes. Single quotes in values are escaped for SQL by doubling them.

Can I generate a CREATE TABLE without the INSERT rows?

Yes. Toggle the CREATE TABLE and DROP TABLE options independently, and choose between a single multi-row INSERT or one INSERT statement per row. You control exactly which statements appear in the output.

How are empty cells converted?

By default an empty cell becomes NULL. Turn off the NULL for empty values option to emit an empty string literal for text columns instead, while numeric, boolean, and date columns always use NULL when the cell is blank.

Is the CSV to SQL converter free?

Yes, the converter is completely free with no signup, subscription, or credit card required, and you can copy the generated SQL or download it as a .sql file.