Dev
Dummy TypeScript Interface Generator
A dummy TypeScript interface generator saves real time when you need a typed data shape before your actual models exist. Instead of hand-writing placeholder interfaces from scratch, you can generate a syntactically correct TypeScript interface in seconds — complete with field names, primitive types, arrays, Dates, Records, and optional fields using the question-mark syntax. That means you can wire up components, write tests, or sketch out API contracts without blocking on a finalized schema. The generator lets you control two things: how many fields the interface contains (up to whatever your prototype needs) and whether optional fields are included. Optional fields mirror real-world data structures where some properties may be absent, so toggling them on produces more realistic shapes for testing nullable or partial payloads. Generated interfaces work well as seed material for Redux state slices, Zustand stores, React form models, Zod schemas, and Jest fixture types. Copy the output, rename the fields to match your domain, and adjust any types that don't fit. The structure is always valid TypeScript, so it drops straight into a `.ts` or `.tsx` file without syntax errors. Beyond prototyping, this tool is useful for TypeScript teaching examples, code-review demos, and generating mock type definitions for library documentation. Because the field names and types are randomized each time, you get variety without repetition — handy when you need several distinct interface shapes quickly.
How to Use
- Set the Number of Fields slider to however many properties you want the interface to contain.
- Choose whether to include optional fields — select 'yes' for realistic partial shapes, 'no' for fully required interfaces.
- Click Generate to produce a random, syntactically correct TypeScript interface.
- Copy the output and paste it into your `.ts` or `.tsx` file as a starting scaffold.
- Rename fields to match your domain and adjust any types that don't fit your data model.
Use Cases
- •Scaffolding placeholder interfaces before backend API specs are finalized
- •Generating typed fixtures for Jest or Vitest unit tests
- •Prototyping Redux state slices or Zustand store shapes
- •Creating starter types for React hook-form or Formik form models
- •Building realistic mock data shapes for Storybook component demos
- •Teaching optional-field syntax and TypeScript primitive types in workshops
- •Seeding Zod schema drafts by hand-converting generated interface fields
- •Generating varied interface examples for TypeScript documentation or blog posts
Tips
- →Generate with optional fields enabled when prototyping PATCH endpoints — those payloads almost always have partial shapes.
- →Run the generator two or three times and merge the best field names from each result rather than accepting the first output as final.
- →If you need a nested type, generate two interfaces separately and replace one field's type with the second interface name.
- →For Jest fixtures, generate an interface with 8 fields, then use it to type a const mock object — the compiler will flag any fields you forget to populate.
- →When teaching TypeScript, generate a fresh interface each lesson to keep examples varied and prevent students from memorising a single example.
- →Disable optional fields when generating a base interface, then re-enable them to generate a matching partial type — useful for update/edit form models.
FAQ
What is a TypeScript interface used for?
A TypeScript interface defines the expected shape of an object — its property names and their types. It exists only at compile time, adding zero runtime overhead. Interfaces are commonly used to type API responses, function parameters, component props, and state objects, giving the compiler enough information to catch mismatches early.
What does the ? mean on a TypeScript interface field?
A ? after a field name marks it as optional, meaning the property may or may not exist on the object. For example, `email?: string` means email is either a string or undefined. This is useful for partial objects, PATCH request bodies, or any data shape where some fields are conditionally present.
Can I use this generated interface directly in my project?
Yes, as a starting point. The output is syntactically valid TypeScript and can be pasted into any `.ts` or `.tsx` file without errors. You'll want to rename fields to match your domain and swap out any types that don't fit. Treat it as scaffolding — the structure is correct, the names are placeholders.
What is the difference between a TypeScript interface and a type alias?
Interfaces are specifically designed for describing object shapes and support declaration merging — you can define the same interface name twice and TypeScript merges them. Type aliases are more flexible, supporting unions, intersections, mapped types, and primitives. For plain object shapes, both work; interfaces are slightly preferred in OOP-style codebases.
What field types does the generator include?
The generator produces fields typed as string, number, boolean, Date, arrays (e.g. string[]), and Record types. This covers the most common primitives and data structures you'd encounter in real TypeScript models, making the output immediately recognizable and useful without heavy editing.
How many fields should I generate for a realistic interface?
Most real-world TypeScript interfaces have between 4 and 12 fields. For API response types, 6 to 8 fields is a practical default. For state slices or form models, 8 to 12 can be more representative. Generate more fields than you need and delete the ones that don't apply — it's faster than adding fields manually.
Can I convert this TypeScript interface into a Zod schema?
Yes. Each field type maps directly to a Zod method: string becomes z.string(), number becomes z.number(), boolean becomes z.boolean(), and so on. Optional fields become .optional() chains. Tools like ts-to-zod can automate this conversion, or you can translate the generated interface by hand in a few minutes.
Does this generator work for nested or complex interfaces?
The generator produces flat interfaces — one level of fields with standard TypeScript types. For nested structures, generate two or three separate interfaces and reference one from another by replacing a field's type with the second interface name. That's standard TypeScript composition and works without any additional tooling.