Convert CSV to SQL

How to convert a CSV to SQL

SQLified turns a CSV into a complete SQL script in four steps — no database connection, drivers, or command line needed to build it. You only need your database to run the result.

1. Drop your CSV onto the converter above (or click to choose a file).
2. Choose a database and review the inferred schema — adjust types, nullability, rename columns, or set a primary key.
3. Generate the SQL — a CREATE TABLE plus batched INSERT statements.
4. Run it in your database client.

Choose your database

SQLified generates dialect-correct SQL for each major database. Jump to a tailored guide:

• CSV to PostgreSQL — double-quoted identifiers, NUMERIC & TIMESTAMP, COPY vs INSERT.
• CSV to MySQL — backticks, an AUTO_INCREMENT key, max_allowed_packet.
• CSV to SQL Server — bracket-quoting, DATETIME2, the 1,000-row limit.
• CSV to SQLite — type affinity, serverless, no install.

What the generated SQL looks like

CREATE TABLE IF NOT EXISTS "users" (
  "id" INTEGER NOT NULL,
  "name" TEXT NOT NULL,
  "signup_date" DATE NOT NULL,
  "amount" NUMERIC(18,2) NOT NULL
);

INSERT INTO "users" ("id", "name", "signup_date", "amount") VALUES
('1', 'Ada Lovelace', '2026-01-04', '120.50'),
('2', 'Alan Turing', '2026-02-11', '99.00');

SQLified infers a type for each column from the actual data — integers, decimals, dates, booleans, and text — and you can override any of them before generating.

Built for large files

Where SQLified stands apart is scale: it handles millions of rows entirely in your browser and batches the INSERT output into 1,000-row statements. That keeps each statement within every database's limits — most importantly SQL Server's hard cap of 1,000 rows per INSERT and MySQL's max_allowed_packet — so a huge file imports start to finish instead of failing as one oversized statement.

Frequently asked questions