JSON to Drizzle ORM Schema Generator
Convert JSON to Drizzle ORM tables online. Emits pgTable, mysqlTable or sqliteTable definitions with typed columns and primary keys. Free, no upload.
Drizzle schema will appear here…
To generate a Drizzle ORM table from JSON, paste a record on the left and choose PostgreSQL, MySQL or SQLite. The right pane returns a pgTable, mysqlTable or sqliteTable definition with each key mapped to a typed column helper such as integer, text, boolean or timestamp.
Drizzle ORM declares tables as ordinary TypeScript, so the schema is code your editor can check rather than a separate DSL. JSON2X infers a table definition from a sample record and emits it as pgTable, mysqlTable, or sqliteTable, mapping each key to a typed column helper such as integer, text, boolean, numeric, or timestamp.
Why does the dialect matter?
Because Drizzle’s column helpers are dialect-specific by design, and mixing them will not compile. PostgreSQL uses pgTable with serial, text, and timestamp; MySQL uses mysqlTable with int, varchar (which requires an explicit length), and datetime; SQLite uses sqliteTable with integer and text, and has no native boolean or date type, so those are stored as integers. Pick the dialect up front rather than converting output later.
How does this compare to Prisma?
They solve the same problem with opposite philosophies. Prisma uses its own schema language and a generated client, which gives a very clean declarative model and excellent migrations at the cost of a build step and a heavier runtime. Drizzle is plain TypeScript with a thin SQL-like query builder, which means no codegen step, a small bundle suitable for edge runtimes, and queries that read like the SQL they become. Choose Drizzle when you want to stay close to SQL, Prisma when you want the abstraction.
What has to be added by hand?
Everything relational, plus the constraints. Inference emits columns but no references() foreign keys, no unique() constraints, no composite indexes, and no relations() declarations — which are what make Drizzle’s relational queries work. It also cannot pick your id strategy between serial, uuid, and an application-generated key. On MySQL, check every varchar length: the inferred default is rarely the right one for production.
How to use the JSON to Drizzle
Takes under a minute. Nothing is uploaded — every step runs in this browser tab.
- Paste a record
Put one representative object, or an array of them, into the left-hand input pane.
- Pick your database
Choose PostgreSQL, MySQL, or SQLite so the correct table builder and column helpers are used — they are not interchangeable.
- Read the table definition
The right-hand pane shows an exported table constant with typed columns, a primary key on any id field, and notNull where the sample is consistent.
- Add it to your schema file
Paste it into your Drizzle schema, then generate a migration with drizzle-kit.
When to use it
- Standing up a Drizzle schema quickly from an existing JSON API or export
- Adding a table for a new feature from a sample payload
- Moving a project from an untyped query builder to Drizzle
- Generating a table to hold webhook events you receive as JSON
- Producing a schema for an edge or serverless runtime where Drizzle is a good fit
Step-by-step guides for this tool
Task-specific walkthroughs covering the most common ways this tool gets used.
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Frequently Asked Questions
What is Drizzle ORM schema generator?
Generates TypeScript table definitions for Drizzle ORM targeting PostgreSQL (pgTable), MySQL (mysqlTable), or SQLite (sqliteTable).
Which Drizzle column helpers does it use?
Helpers are chosen per dialect: integer and text everywhere, boolean and timestamp on PostgreSQL and MySQL, and their SQLite equivalents where the driver has no native type. Non-integer numbers map to doublePrecision or real depending on the dialect.
Does it add a primary key and an import statement?
Yes. An existing id column is chained with .primaryKey(), and with the auto-id option on a primary key is added when your sample has none. The output also includes the import from the matching drizzle-orm core package.
How are nested objects handled?
A nested object becomes a text column with a comment suggesting a separate table, since Drizzle tables are flat. Split the shape into two tables and generate each one, or store the branch as serialised JSON deliberately.
Is this Drizzle schema generator free, and is my JSON uploaded?
It is free with no signup, and nothing is uploaded — the table definition is generated in your browser.
Related Developer Tools
- Standards & references:
- Drizzle ORM
- TypeScript
- JSON
Last reviewed by the JSON2X Engineering Team.