Skip to content

Test Data Generator

Generate up to 1,000 rows of fake test data from a custom schema of typed fields, as JSON, CSV or PostgreSQL and MySQL INSERTs.

Test Data Generator

Schema builder

Choose Generate data to create records from the schema above.

Updated . Provided as is. Check the output before you rely on it in production.

How to use Test Data Generator

  1. 1

    Define data schema

    Specify the structure: field names, types (string, number, email, UUID, date, boolean), and constraints (min/max length, format patterns like phone numbers or addresses).

  2. 2

    Choose output format

    Generate test data as JSON (single objects or arrays), CSV (spreadsheet-friendly), or SQL INSERT statements (directly loadable into databases). Pick the format your test setup needs.

  3. 3

    Generate realistic data

    The tool draws from curated dictionaries and crypto-strong randomness to create realistic values: actual-looking names, emails, phone numbers, addresses, dates, and numbers within ranges. Not random garbage.

  4. 4

    Download and load into tests

    Export the generated data and load it into your test database or mock API. Use it for load testing, UI testing, or integration tests where you need realistic sample data at scale.

Questions and answers

What data types can I generate?
18 types including first/last/full names, emails, phones, addresses, cities, countries, UUIDs, dates, numbers, booleans, paragraphs, sentences, URLs, IP addresses, companies, and job titles.
Can I generate nested JSON?
No. Each record is a flat object of scalar fields (names, emails, UUIDs, dates, numbers, booleans, text). Nested objects and arrays of objects are not supported; output is JSON, CSV, or SQL rows.
What output formats are supported?
JSON (array of objects), CSV (with proper escaping), and SQL INSERT statements for PostgreSQL and MySQL with correct quoting and date formatting.
How many records can I generate?
Up to 1,000 records in the browser. For each record, all fields are independently randomized using cryptographic random values for quality randomness.
Is the data realistic?
Yes, names and locations are drawn from curated dictionaries. Emails are derived from generated names for consistency. Phone numbers and addresses follow realistic formats.
For AI agents: how to call this tool

Machine-readable contract, endpoints and examples. Humans can ignore this section.

Best Path For Builders

Browser workflow

Runs instantly in the browser with private local processing and copy/export-ready output.

Browser Workflow

This tool is optimized for instant in-browser execution with local data handling. Run it here and copy/export the output directly.

/test-data-generator/

For automation planning, fetch the canonical contract at /api/tool/test-data-generator.json.