Convert a Simple CREATE TABLE Statement into a Typed Model Draft

How to Use This Tool

Parse columns locally, preserve nullability and expose every unsupported SQL fragment. Generate a TypeScript or Python model draft from a simple CREATE TABLE statement, preserve nullable fields, flag unsupported columns, and export code.

The work this page finishes

Copying a table into application code invites nullable and type drift, but a full ORM generator is excessive when a developer needs a reviewable model draft. For Table to Model Class, a visible row-by-row result preserves provenance, making a single correction possible without rerunning unrelated records or uploading the batch.

Deterministic workflow

Parse one simple CREATE TABLE body at top-level commas, map a documented primitive type subset and preserve NOT NULL as required versus optional fields. For Table to Model Class, input guards stop after 5,000 records or 2 MB, and the report separates fatal input problems from recoverable row warnings.

Why a dedicated interface helps

Compare every generated field with the actual database and framework conventions before use; unsupported constraints remain outside the draft. For Table to Model Class, deterministic ordering, one-click copying and a downloadable artifact make repeated operational review easier than manually reconstructing a response from prose.

Assumptions

• One CREATE TABLE statement is supplied.
• Top-level column definitions are comma-separated.
• Primitive type mapping is intentionally conservative.

For Table to Model Class, do not discard the source after export: compare the destination result with it, and remember that local execution cannot secure the surrounding device or browser add-ons.

Limitations and review boundary

It is not a general SQL parser and does not support dialect-specific types, quoted complex identifiers, generated columns, keys, defaults, relationships, migrations or ORM annotations. For Table to Model Class, user values are never run as script, rendered as markup or fetched as network destinations; the page writes them only into text nodes.

Verification and provenance

On 2026-08-26, the rule and examples were cross-checked with SQLite — CREATE TABLE, including a known result, a rejected input and a conflict or duplicate case. The sample maps four users columns and preserves score as optional while id, email and active remain required.