Test Data Faker Builder

Generate structured test data from field configuration with support for faker fields, regex rules, credit cards, IDs, and batch export

Example Results

1 examples

Generate QA seed users

Create structured records for frontend testing with names, emails, credit cards, and status values

{
  "summary": {
    "count": 3
  },
  "records": [
    {
      "fullName": "Emma Smith"
    }
  ]
}
View input parameters
{ "configJson": "{\n \"fields\": [\n {\n \"name\": \"fullName\",\n \"type\": \"fullName\",\n \"locale\": \"en\"\n },\n {\n \"name\": \"email\",\n \"type\": \"email\"\n },\n {\n \"name\": \"creditCard\",\n \"type\": \"creditCard\",\n \"network\": \"visa\"\n },\n {\n \"name\": \"status\",\n \"type\": \"pick\",\n \"values\": [\n \"new\",\n \"active\",\n \"blocked\"\n ]\n },\n {\n \"name\": \"signupCode\",\n \"type\": \"regex\",\n \"pattern\": \"QA-[A-Z0-9]{6}\"\n }\n ]\n}", "count": 3, "exportFormat": "json" }

Key Facts

Category
AI & Generators
Input Types
textarea, number, select
Output Type
json
Sample Coverage
4
API Ready
Yes

Overview

The Test Data Faker Builder is a powerful utility designed to generate realistic, structured mock data for software development and QA testing. By defining your schema through a simple JSON configuration, you can instantly create batches of synthetic records including names, emails, credit cards, IDs, and custom regex-based patterns.

When to Use

  • •Populating databases or frontend applications with realistic mock records for UI testing.
  • •Generating large volumes of synthetic data to stress-test API endpoints and data processing pipelines.
  • •Creating specific edge-case datasets using regex patterns for validation and error handling scenarios.

How It Works

  • •Define your data structure in the Field Config JSON, specifying field names and types like faker, regex, or pick.
  • •Set the desired record count to determine the volume of data generated.
  • •Select your preferred output format, choosing between JSON, NDJSON, or CSV.
  • •Execute the generation to receive your structured dataset ready for immediate integration.

Use Cases

Generating thousands of user profiles for performance testing a new database schema.
Creating mock transaction logs with valid-looking credit card numbers for payment gateway integration testing.
Building seed data for frontend prototypes to ensure UI components handle various data lengths and states.

Examples

1. Generate QA seed users

QA Engineer
Background
Need to populate a new user management dashboard with realistic data to test search and filtering functionality.
Problem
Manually creating 50+ user records is inefficient and prone to errors.
How to Use
Configure the fields for name, email, credit card, and status, then set the count to 50.
Example Config
{"fields": [{"name": "fullName", "type": "fullName"}, {"name": "email", "type": "email"}, {"name": "creditCard", "type": "creditCard"}, {"name": "status", "type": "pick", "values": ["active", "blocked"]}]}
Outcome
A clean JSON file containing 50 unique user records ready for database import.

2. Mock Order System Data

Backend Developer
Background
Testing an API that processes order codes and scores.
Problem
Need to verify that the system correctly handles specific order code formats and numeric ranges.
How to Use
Use the regex type for order codes and the number type for scores, then export as NDJSON.
Example Config
{"fields": [{"name": "orderCode", "type": "regex", "pattern": "ORD-[0-9]{5}"}, {"name": "score", "type": "number", "min": 0, "max": 100}]}
Outcome
An NDJSON file with 100 records, each containing a valid order code and a score between 0 and 100.

Try with Samples

json, csv, regex
CSV Samples
Sample CSV files with various data types, sizes, and complexity levels
preferred input family json
json
Python Samples
Essential Python code examples and Hello World demonstrations
preferred input family json
json
Postman Collections - API Testing
Comprehensive Postman collection examples including API testing, automation scripts, environment variables, mock servers, and advanced testing patterns for REST APIs
preferred input family json
json
NDJSON Samples
Downloadable NDJSON files from simple to complex for ingestion, streaming, and pipeline tests
preferred input family json
json

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FAQ

What data formats can I export?

You can export your generated data in JSON, NDJSON, or CSV formats.

Can I generate specific patterns like order codes?

Yes, use the 'regex' type in your configuration to define custom patterns like 'ORD-[A-Z0-9]{8}'.

Is there a limit to how many records I can generate?

You can generate between 1 and 1,000 records per batch.

Can I pick values from a predefined list?

Yes, use the 'pick' type and provide an array of values to randomly select from for that field.

Does it support international data?

Yes, certain faker fields like 'fullName' support locale settings to generate region-specific data.

API Documentation

Request Endpoint

POST /en/api/tools/test-data-faker-builder

Request Parameters

Parameter Name Type Required Description
configJson textarea Yes -
count number No -
exportFormat select No -

Response Format

{
  "key": {...},
  "metadata": {
    "key": "value"
  },
  "error": "Error message (optional)",
  "message": "Notification message (optional)"
}
JSON Data: JSON Data

AI MCP Documentation

Add this tool to your MCP server configuration: 

{
  "mcpServers": {
    "elysiatools-test-data-faker-builder": {
      "name": "test-data-faker-builder",
      "description": "Generate structured test data from field configuration with support for faker fields, regex rules, credit cards, IDs, and batch export",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=test-data-faker-builder",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

If you encounter any issues, please contact us at [email protected]