SchemaSnap
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CSV to MySQL

MySQL diverges from Postgres in small but breaking ways: AUTO_INCREMENT instead of SERIAL, DATETIME instead of TIMESTAMP, and a native ENUM type that Postgres has to fake with a check constraint or a separate type.

SchemaSnap targets those differences directly. A low-cardinality text column (a handful of short repeated labels, like a status field) is emitted as a real MySQL ENUM(...) list instead of a plain VARCHAR, and every other type maps to the closest MySQL equivalent.

Example

Run on a small sample CSV at build time, so this is real output, not a mockup.

Table structure (Postgres baseline)

CREATE TABLE customers (
  id SERIAL PRIMARY KEY,
  name VARCHAR(32) NOT NULL,
  email VARCHAR(32) NOT NULL,
  plan VARCHAR(32) NOT NULL,
  price NUMERIC(10,2) NOT NULL,
  signup_date DATE NOT NULL
);

Generated SQL (MySQL)

CREATE TABLE customers (
  id INT AUTO_INCREMENT PRIMARY KEY,
  name ENUM('Ava Chen','Liam Diaz','Mia Chen','Noah Patel') NOT NULL,
  email VARCHAR(32) NOT NULL,
  plan ENUM('free','pro','trial') NOT NULL,
  price DECIMAL(10,2) NOT NULL,
  signup_date DATE NOT NULL
);

Try it

Drop a .csv file here, or click to choose one. Or just paste below.

Outputs

Paste or drop a CSV, then hit Convert. Nothing you enter here leaves your browser.

Other conversions