Dataset Generator

Generate realistic fake datasets for testing, development, QA, and demos. Create custom tables, export CSV, JSON, SQL, or SQLite, and build relational datasets in seconds.

Collection Name

No. of Rows

Airline Aircraft Type Airline Airplane Airport Flight Number Record Locator Seat Animal Bear Bird Cat Cetacean Cow Crocodilia Dog Fish Horse Insect Lion Pet Name Rabbit Rodent Snake Type Book Author Format Genre Publisher Series Title Color Human Commerce Department ISBN Price Product Product Adjective Product Description Product Material Product Name Company Name Database Collation Column Engine Mongodb Object Id Column Type Datatype Boolean Date Anytime Between Future Month Past Recent Soon Time Zone Weekday Finance Account Name Account Number Amount Bitcoin Address CreditCard CVV CreditCard Issuer CreditCard Number Currency Code Currency Name CurrencyNumeric Code Currency Symbol Ethereum Address Iban Litecoin Address PIN Routing Number Transaction Description Transaction Type Food Adjective Description Dish Ethnic Category Fruit Ingredient Meat Spice Vegetable Internet Display Name Domain Name Domain Suffix Domain Word Email Emoji Example Email Http Method Http StatusCode IP Ipv4 Ipv6 Password Port Protocol Url User Agent Username Location Building Number Cardinal Direction City Continent Country Country Code County Direction Language Latitude Longitude Ordinal Direction Secondary Address State Street Street Address Zip Code Lorem Lines Paragraph Paragraphs Sentence Sentences Slug Text Word Words Music Album Artist Genre Song Name Number Integer Binary Float Roman numeral Hexadecimal Octal Person Bio First Name Full Name Gender Job Area Job Descriptor Job Title Job Type Last Name Middle Name Zodiac Sign Phone IMEI Number String Alpha Alphanumeric Binary Hexadecimal nanoid Numeric Octal Symbol Ulid Uuid Vehicle Bicycle Color Fuel Manufacturer Model Type Vehicle VIN VRM Column Name
No data found Choose category and click Generate data button

Column Name

No data found

Choose category and click Generate data button

View collectons (0)

No data found

Generate some data and add to collection

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Fake Data Creator Dataset Generator + Collections (Multi-Table Export)

When you’re building an app, testing an API, designing an interface, or preparing a demo, you need data that looks real—but you can’t (and shouldn’t) use production data. Creating sample datasets manually is slow, inconsistent, and hard to scale.

That’s exactly what Fake Data Creator’s Dataset Generator is built for.

With the Dataset Generator tool You can define a dataset in a table, generate realistic fake values using 50+ data types, select a locale, export in multiple formats—and now, with Collections, you can also save multiple generated tables together and export them as a multi-sheet spreadsheet or a SQLite database.

What is a Dataset Generator?

A dataset generator is a tool that automatically creates structured sample data (rows + columns) for testing, prototyping, and development. Instead of manually writing dozens (or thousands) of rows, you define:

Columns (e.g., First Name, Email, City, Company)
Fake data types for each column (e.g., name, email, address)
Locale (to generate region-specific patterns)
Output format (CSV/Excel/JSON/code formats)

Then you click Generate Data, and the tool produces an instant dataset.

Meet the Collections Feature (Multi-Table Data, One Export)

Many products don’t rely on a single table. Real apps often need multiple related tables—for example:

Users
Orders
Products
Payments
Addresses

With Collections, Fake Data Creator goes beyond basic single-table generation:

Save generated tables into a Collection

After generating data, users can save the generated table into a Collection. A collection acts like a container that can hold multiple tables.

View all collections at the bottom

The page shows all Collections at the bottom, making it easy to manage datasets across multiple projects, features, or demos.

Export Collections as:

Spreadsheet with multiple worksheets (each table becomes its own sheet)
SQLite database (each table becomes a database table)

This is especially useful when you want a complete “project dataset” that mirrors real application structure.

How Fake Data Creator’s Dataset Generator Works

1) Build your dataset in a table

Add the columns you need for your project—like:

Full Name
Email Address
Phone
City
Country
Date of Birth
Company Name
UUID / ID
Website URL

2) Choose a category for each column

Each column maps to a fake data category (data type), such as name, email, address, and dozens more. With 50+ data types, you can build datasets for almost any use case.

3) Select a locale (optional)

Generate data that matches local patterns—helpful for names, addresses, and phone formats.

4) Generate data instantly

Click Generate Data and the tool produces realistic sample values in seconds.

5) Export or save to a Collection

Once you have a table you like, you can:

Export it directly (CSV, Excel, JSON, etc.), or
Save it into a Collection to combine it with other generated tables.

Export Options (Single Table + Collection Exports)

Export a single table in multiple formats

Common formats include:

CSV
Excel
JSON
PHP
Python
JavaScript

…and more (ideal for seeding scripts, fixtures, and quick imports).

Export a Collection (multi-table)

Collections unlock two high-value exports:

Spreadsheet with multiple worksheets Perfect for sharing a complete dataset with stakeholders, testers, or teammates. Each table becomes a separate worksheet—clean and organized.
SQLite database export Ideal for developers and QA teams who want a portable database that mirrors real application environments. You can plug the SQLite file into tools, test flows, run queries, or use it as a demo database

Why this tool is useful (and different)

It scales from “quick test data” to “project datasets”

Many fake data tools stop at generating a single list. Fake Data Creator helps you build structured datasets and then organize them into Collections for multi-table exports

It’s built for real workflows

UI demos often need multiple tables
Backend/API testing often needs realistic structured data.
Import/export features require consistent dataset shapes.
SQLite export makes it easy to test locally without setup.

Best Use Cases (Examples)

For developers

Create seed data for local development
Export to JSON for API mocks
Export Collections to SQLite for a complete demo database
Generate fixtures for testing scripts

For QA and testers

Generate bulk test data quickly
Validate imports using CSV/Excel
Use Collection exports for end-to-end testing with multiple tables

For designers and product teams

Fill dashboards and admin panels with realistic data
Export multi-sheet spreadsheets for demos and reviews
Keep different datasets organized by Collection (per feature/prototype)

FAQ

What is a Collection in Fake Data Creator?

A Collection is a group of multiple generated tables saved together. It helps you manage multi-table datasets and export them as a spreadsheet with multiple worksheets or as a SQLite database.

Can I export multiple tables at once?

Yes. Save tables into a Collection and export the entire Collection:

as an Excel-style spreadsheet with multiple sheets, or
as a SQLite database.

Is this tool good for database seeding?

Yes—especially with SQLite export, which is a great option for portable, structured demo and test databases.