Developer Tools
Data & AnalyticsRandom Data Generator
Generate sample data sets with configurable properties for testing and development.
Configuration
Generate 1-1000 records
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How to Use
- Set the number of records you want to generate (1-1000)
- Choose your preferred output format from 10 options (JSON, CSV, SQL, XML, YAML, TypeScript, HTML, Markdown, PHP, Python)
- Add or remove fields as needed for your data structure
- For each field, specify a name and select from 26 data types organized in categories
- For number fields, you can specify a custom range (e.g., "18-80" for ages, "1-1000" for IDs)
- Data is generated automatically as you configure settings - no manual generate button needed
- Use the "View Results" button to quickly scroll to your generated data
- Copy to clipboard or download the generated data with proper file extension for your selected format
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About Random Data Generator
How It Works
- Choose from 26 data types across 6 categories
- Configure fields with custom names and types
- Set record count (1-1000) and output format
- Uses Faker.js library for realistic data
- Auto-generates data as you configure settings
- Export in 10 formats: JSON, CSV, SQL, XML, YAML, TypeScript, HTML, Markdown, PHP, Python
- All generation happens locally in your browser
Common Use Cases
- Testing database schemas and queries
- Populating development and staging environments
- Prototyping application interfaces with realistic data
- Creating demo data for client presentations
- Load testing applications and APIs
- Generating mock API responses for frontend development
- Training and learning SQL or data analysis
- Creating sample datasets for documentation
Frequently Asked Questions
What is a random data generator used for?
A random data generator creates realistic sample data sets for various purposes including application testing, database prototyping, UI/UX development, demo environments, performance testing, and training datasets. It helps developers avoid using real user data while maintaining realistic data patterns.
What types of data can I generate with this tool?
You can generate 26 different data types organized into categories: Personal (full name, first name, last name, email, username, password, phone, avatar), Location (address, city, country, zip code), Business (company, job title), Finance (price, currency, credit card, IBAN), Internet (URL, IP address), and Basic types (date, number, text, boolean, UUID, color). All data is generated using the Faker.js library for realism.
How many records can I generate at once?
You can generate anywhere from 1 to 1000 records in a single operation. For most testing and development purposes, 10-100 records are sufficient. Larger datasets may take a few moments to generate depending on the complexity of your data configuration.
Can I customize the format of generated data?
Yes, the tool provides extensive customization options for each data type. You can specify date formats, numeric ranges, text patterns, email domains, phone number formats, and more. This ensures the generated data matches your specific requirements and use case.
What output formats are supported?
The tool supports 10 export formats: JSON (APIs and JavaScript), CSV (spreadsheets and databases), SQL (database INSERT statements), XML (data interchange), YAML (configuration files), TypeScript (with interfaces), HTML (tables), Markdown (documentation), PHP (arrays), and Python (dictionaries). Each format is properly formatted and ready to use in your projects.
Is the generated data realistic?
Yes, the tool uses the @faker-js/faker library to generate highly realistic data. Names sound natural, email addresses follow valid formats, phone numbers match regional patterns, addresses look authentic, companies have realistic names, and all data follows proper formatting conventions. However, all data is completely fictional and randomly generated - it does not represent real people, places, or entities.
Does the tool auto-generate data as I configure it?
Yes, the tool automatically regenerates data whenever you change the configuration - including the number of records, output format, or field settings. This provides instant feedback and eliminates the need for a manual "Generate" button. Simply adjust your settings and the data updates immediately.
How random is the generated data?
The data is generated using pseudorandom algorithms that produce statistically random-looking results suitable for testing and development. While not cryptographically secure, the randomness is more than adequate for creating diverse test datasets and avoiding predictable patterns.
Can I use this tool for production data?
This tool is designed for generating test and development data only. The generated data is fictional and should never be used as real user data in production systems. Always use proper data collection methods and obtain consent for any production user information.
Is my configuration saved between sessions?
The tool can save your data generation preferences in your browser's local storage, allowing you to quickly regenerate similar datasets without reconfiguring all options. However, the actual generated data is not stored and is created fresh each time to ensure randomness.
Can I customize numeric ranges for number fields?
Yes, for number fields you can specify custom ranges using the format "min-max" (e.g., "18-80" for ages or "1-1000" for IDs). The tool will generate random integers within your specified range. This is particularly useful for creating realistic test data with appropriate value constraints.
What are common use cases for random data generation?
Common use cases include: populating test databases, creating mock APIs for frontend development, generating sample data for demos and presentations, load testing applications, creating training datasets for learning SQL or data analysis, and prototyping data structures before real data collection.