EasySchema
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Describe it.
We draw the database.

Plain-English specs become validated tables, foreign keys, seed inserts and a live ER diagram — exportable in three SQL dialects.

Start designingread the specs

Type a sentence. Get a schema.

Watch a plain-English prompt compile into validated tables and ready-to-run SQL.

E-commerce store with orders, items and users
PostgreSQL ▾
Generate SQL
tablesdiagram
validated · 4 tables · 3 FKs resolved
users4
products5
orders4
order_items5
orders · create_table.sql
copy↓
CREATE TABLE orders (
  id SERIAL PRIMARY KEY,
  user_id INT REFERENCES users(id),
  total DECIMAL(10,2) NOT NULL,
  created_at TIMESTAMP DEFAULT now()
);
INSERT INTO orders VALUES
  (1, 1, 129.90, '2026-07-04');

Relations, drawn for you.

Every schema renders as a live entity-relationship diagram — foreign keys become drawn connector paths.

users
id PKINT
email VARCHAR
created_at TIMESTAMP
orders
id PKINT
user_id FKINT
total DECIMAL
order_items
id PKINT
order_id FKINT
qty INT

One schema. Three dialects.

postgresql
CREATE TABLE orders (
  id SERIAL PRIMARY KEY,
  total DECIMAL(10,2)
);
mysql
CREATE TABLE `orders` (
  `id` INT AUTO_INCREMENT,
  `total` DECIMAL(10,2)
);
sqlite
CREATE TABLE orders (
  id INTEGER PRIMARY KEY,
  total REAL
);

Checked before it reaches you.

✓ validated
Strictly validated
Every response is checked against Pydantic models — relationships and syntax are guaranteed correct.
INSERT INTO
Seed data included
Ready-to-run INSERT scripts with realistic mock rows, mapped to every table.
↓ schema.sql
Inspectable workspace
Browse tables, copy queries, or download the whole schema as one .sql file.