Does this work with MySQL, SQLite, and MSSQL as well as PostgreSQL?

Yes. The tool auto-detects the SQL dialect from your input (backticks and AUTO_INCREMENT → MySQL; square brackets and NVARCHAR → MSSQL; AUTOINCREMENT without underscore → SQLite). You can also manually select the dialect using the dropdown in the toolbar. A shim normalizes dialect-specific syntax before parsing.

Is my schema sent to a server?

No. All parsing and translation runs in your browser with JavaScript. Your SQL schema is never transmitted to any server, logged, or stored anywhere outside your browser tab. This is by design — schemas often contain sensitive business logic.

How are foreign keys and ON DELETE / ON UPDATE actions translated?

Foreign keys are parsed from both inline column-level references (REFERENCES table(col)) and table-level FOREIGN KEY constraints. ON DELETE CASCADE, SET NULL, RESTRICT, and NO ACTION are preserved in the output. Each ORM renders them differently — Prisma uses @relation, Drizzle uses relations(), TypeORM uses @JoinColumn, Django uses on_delete=models.CASCADE.

Can I convert a whole schema dump with dozens of tables at once?

Yes. Paste an entire schema file — the parser extracts each CREATE TABLE block independently. The parse status badge shows the total table, column, FK, and enum count. If one statement fails to parse, the others are still processed.

What ORM version is the generated code targeting?

Prisma 5.x, Drizzle ORM 0.39+, TypeORM 0.3.x, Sequelize 6.x, SQLAlchemy 2.0, Django 5.x, GORM v2, Ecto 3.x. If you are on an older version, some syntax may need adjustment — most commonly for Prisma 4 vs 5 and SQLAlchemy 1.4 vs 2.0.

Are PostgreSQL array types (TEXT[], INTEGER[]) supported?

Yes for PostgreSQL targets (Prisma, Drizzle, SQLAlchemy). Prisma renders TEXT[] as String[], Drizzle chains .array() on the column definition, and SQLAlchemy uses ARRAY(Text). For non-PostgreSQL ORMs, arrays are mapped to a JSON/text fallback with a warning.

What happens with unsupported features like partial indexes in Prisma?

Unsupported features show a warning in the Warnings panel and are emitted as comments in the generated code so you do not lose the information. For partial indexes in Prisma, the comment shows the WHERE clause so you can recreate the index in a raw migration.

Can I share the generated output with a teammate?

Yes. Click the Share button to copy a URL that encodes your SQL, selected ORM, and options. Anyone with the link sees the same input and generated output. The state is encoded with lz-string and lives entirely in the URL — no server or account required.

SQL to ORM Converter

Paste any CREATE TABLE statement and instantly get production-ready ORM model definitions for 8 frameworks — no database connection required.

Last updated: April 2026

lockYour schema stays in your browser — nothing is sent to any server.

SQL Input

Samples:

ORM Output

What it does

8 ORM targets

Generate models for Prisma, Drizzle, TypeORM, Sequelize, SQLAlchemy, Django ORM, GORM, and Ecto from the same SQL input — switch between them instantly.

Multi-dialect SQL parsing

Auto-detects PostgreSQL, MySQL, SQLite, and MSSQL syntax. MySQL backticks, AUTO_INCREMENT, MSSQL square brackets, and IDENTITY columns are all normalized before translation.

Type mapping transparency

The type mapping panel shows exactly how every column was translated — SQL type to ORM field — so you can verify correctness instead of trusting a black box.

Faithful constraint handling

Foreign keys with ON DELETE/ON UPDATE actions, composite primary keys, unique constraints, indexes (including partial where supported), and enums are all preserved in the generated output.

Share & export

Generate a shareable URL encoding your SQL, selected ORM, and options. Or download all generated files as a .zip with the correct folder structure for your chosen ORM.

100% browser-side

All parsing and translation happens in your browser. Your schema is never sent to a server, logged, or stored anywhere outside your tab.

How to use SQL to ORM Converter

1
Paste your SQL
Paste one or more CREATE TABLE statements into the SQL editor on the left. You can also click a sample chip (Blog, E-commerce, SaaS) to load an example schema instantly.
2
Pick a target ORM
Click any ORM tab at the top — Prisma, Drizzle, SQLAlchemy, Django, TypeORM, Sequelize, GORM, or Ecto. The output panel on the right updates immediately.
3
Review the type mappings
Expand the Type Mapping panel below the editors to see exactly how each column was translated. Yellow rows flag approximations; red rows flag unsupported features with a suggested workaround.
4
Copy or download
Use the Copy button to grab the output, or click Download ZIP to get all files in the correct folder structure. Use Share to create a link that pre-loads your SQL and settings for a teammate.

When to use this

Starting a new service on an existing database

Your company has a PostgreSQL database with 40 tables. You are building a new Node.js microservice using Drizzle. Paste the relevant CREATE TABLE statements and get Drizzle schema definitions ready to paste into your project.

Migrating between ORMs

Migrating from TypeORM to Prisma? Paste your existing CREATE TABLE SQL (or generate it from your current ORM) and compare the TypeORM entity vs Prisma model side-by-side using the tab switcher.

Generating models for admin tools and seeders

Building a data admin dashboard or writing seed scripts against a production database? Convert the DDL from your database introspection to the ORM models you need — without connecting the tool to your database.

Documenting schemas across tech stacks

The same Postgres database is consumed by a Python backend (SQLAlchemy) and a TypeScript frontend API (Prisma). Use the tab switcher to generate and compare both model files from a single SQL source.

Common errors & fixes

Parse status shows 0 tables after pasting SQL: Ensure your SQL contains at least one CREATE TABLE statement. If pasting a full database dump, strip everything before the first CREATE TABLE — INSERT statements and SET commands are ignored but can confuse the dialect detector.
Column types show as "Unknown type" in the mapping panel: This happens with non-standard or database-specific types (e.g. PostGIS geometry, PostgreSQL range types). The column is mapped to Text/string as a safe fallback. Replace with the appropriate ORM type for your use case.
MySQL schema parsed incorrectly or backtick identifiers not recognized: The dialect is auto-detected from the SQL. If auto-detection fails, select MySQL from the Dialect dropdown in the toolbar. The shim will then normalize backticks, AUTO_INCREMENT, and DATETIME before parsing.
Partial indexes show a warning in Prisma output: Prisma does not support partial indexes in the schema file. The converter emits a comment with the WHERE clause so you can create the index via a raw migration instead.

Why deterministic tools beat AI for schema conversion

Large language models can convert SQL to Prisma — until they confidently map TIMESTAMPTZ to DateTime without @db.Timestamptz, omit the ON DELETE action from a foreign key, or invent a decorator that does not exist in the target version. The hallucination rate is low but nonzero, and it compounds across 20-table schemas. A deterministic rule-based tool with an explicit type mapping table does not hallucinate. The output is auditable: you can read the type-mapping panel and verify every translation. When something looks wrong, you know exactly why.

This does not mean AI is useless for schema work. AI is excellent for drafting an initial schema from a prose description, explaining what a migration does, or suggesting normalizations. But for the mechanical translation step — SQL to ORM — deterministic tooling is safer and faster.

Drizzle vs Prisma: key schema differences in 2026

Prisma uses a custom DSL (schema.prisma) while Drizzle uses TypeScript-native table definitions — the schema is just code, which makes it easier to share types and utilities. Prisma's @db attributes give you fine-grained control over the underlying column type (e.g. @db.VarChar(255) vs String, or @db.Timestamptz vs DateTime). Drizzle expresses this through the function you call (varchar vs text, timestamp with { withTimezone: true }).

For foreign keys, Prisma requires @relation fields on both sides of a relation; Drizzle uses a separate relations() block. Prisma handles enums in the schema itself with enum blocks; Drizzle uses pgEnum() from drizzle-orm/pg-core. Both tools have excellent TypeScript inference and similar migration stories — the choice mostly comes down to whether you prefer a DSL or pure TypeScript.

Frequently Asked Questions

Does this work with MySQL, SQLite, and MSSQL as well as PostgreSQL?: Yes. The tool auto-detects the SQL dialect from your input (backticks and AUTO_INCREMENT → MySQL; square brackets and NVARCHAR → MSSQL; AUTOINCREMENT without underscore → SQLite). You can also manually select the dialect using the dropdown in the toolbar. A shim normalizes dialect-specific syntax before parsing.
Is my schema sent to a server?: No. All parsing and translation runs in your browser with JavaScript. Your SQL schema is never transmitted to any server, logged, or stored anywhere outside your browser tab. This is by design — schemas often contain sensitive business logic.
How are foreign keys and ON DELETE / ON UPDATE actions translated?: Foreign keys are parsed from both inline column-level references (REFERENCES table(col)) and table-level FOREIGN KEY constraints. ON DELETE CASCADE, SET NULL, RESTRICT, and NO ACTION are preserved in the output. Each ORM renders them differently — Prisma uses @relation, Drizzle uses relations(), TypeORM uses @JoinColumn, Django uses on_delete=models.CASCADE.
Can I convert a whole schema dump with dozens of tables at once?: Yes. Paste an entire schema file — the parser extracts each CREATE TABLE block independently. The parse status badge shows the total table, column, FK, and enum count. If one statement fails to parse, the others are still processed.
What ORM version is the generated code targeting?: Prisma 5.x, Drizzle ORM 0.39+, TypeORM 0.3.x, Sequelize 6.x, SQLAlchemy 2.0, Django 5.x, GORM v2, Ecto 3.x. If you are on an older version, some syntax may need adjustment — most commonly for Prisma 4 vs 5 and SQLAlchemy 1.4 vs 2.0.
Are PostgreSQL array types (TEXT[], INTEGER[]) supported?: Yes for PostgreSQL targets (Prisma, Drizzle, SQLAlchemy). Prisma renders TEXT[] as String[], Drizzle chains .array() on the column definition, and SQLAlchemy uses ARRAY(Text). For non-PostgreSQL ORMs, arrays are mapped to a JSON/text fallback with a warning.
What happens with unsupported features like partial indexes in Prisma?: Unsupported features show a warning in the Warnings panel and are emitted as comments in the generated code so you do not lose the information. For partial indexes in Prisma, the comment shows the WHERE clause so you can recreate the index in a raw migration.
Can I share the generated output with a teammate?: Yes. Click the Share button to copy a URL that encodes your SQL, selected ORM, and options. Anyone with the link sees the same input and generated output. The state is encoded with lz-string and lives entirely in the URL — no server or account required.