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Random Test Data Generator
Synthetic dataset
The result will appear here after you run the tool.
The result will appear here after you run the tool.
The result will appear here after you run the tool.
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About this tool
About this tool
Random Data Generator produces placeholder values such as names, emails, and addresses by using browser random routines with configurable counts. Generated data stays local for testing and prototyping.
Build realistic synthetic datasets for software testing without reusing a tiny list of templates. Choose a preset, generate up to 1,000 coherent records, customize the fields, and export the result as JSON, JSONL, CSV, TSV, or SQL. Names, emails, addresses, companies, dates, prices, and identifiers are combined locally in your browser and related values stay consistent within each record.
Built for daily work
- Populate development databases without copying personal production data.
- Create user and customer fixtures for automated QA tests.
- Test table pagination, search, sorting, filters, and bulk imports with large datasets.
- Mock API responses and event payloads in JSON or JSON Lines format.
How to use this tool
How to use this tool
Set the size and format
Generate between 1 and 1,000 records, then choose JSON, JSONL, CSV, TSV, or SQL output.
Customize when needed
Enter a comma-separated field list, an email domain, or a SQL table name. Add a seed only when you need to reproduce exactly the same dataset.
Preview and export
Review the first 100 records in the table preview, inspect the generation report, then copy or download the complete dataset.
Key features
Key features
Multiple data type presets
Generate random names, email addresses, phone numbers, dates, numbers, or full address records from built-in format templates.
Quantity control
Set the number of records or values to generate, from a single item up to hundreds of rows for testing and prototyping.
CSV-ready tabular output
Multi-field records are formatted as CSV with headers, so the output can be downloaded and opened directly in a spreadsheet or imported into a database.
Copy individual values or full dataset
Copy a single generated value to the clipboard, or download the complete set of records as a file.
Practical use cases
Practical use cases
- Populate development databases without copying personal production data.
- Create user and customer fixtures for automated QA tests.
- Test table pagination, search, sorting, filters, and bulk imports with large datasets.
- Mock API responses and event payloads in JSON or JSON Lines format.
- Generate SQL seed records for demos, prototypes, and local development.
Private by default
For local tools, input is processed in your browser and is not sent to application analytics.
Data processing noticeTechnical details
Technical details
Maximum batch1,000 synthetic records
Output formatsJSON, JSONL, CSV, TSV, and SQL
RandomnessWeb Crypto fresh mode or deterministic seeded mode
Preset schemasUsers, employees, customers, products, orders, and developers
Preview limitFirst 100 rows; downloads include every generated record
ProcessingLocal browser generation
Limitations and important notes
Limitations and important notes
- Generated values are fictional test data and must not be used for identity verification, credit decisions, legal documents, or impersonation.
- The current release uses United States address and telephone conventions; additional locales can be added as independent data packs.
- Uniqueness is guaranteed within the current generated batch, not across separate browser sessions.
- Review SQL output and use an appropriately isolated development database before executing generated statements.
Frequently asked questions
Frequently asked questions
No. The tool combines synthetic components for development and testing. Any resemblance to a real person or organization is coincidental.
Yes. Records have unique IDs, usernames, and synthetic email aliases, and the generator rejects an identical record within the current batch.
A seed makes generation deterministic. Reusing the same seed, preset, fields, and count recreates the same records, which is useful for repeatable tests.
No. Standard generation and formatting happen locally in the browser. The generated dataset is not submitted to the server.
Yes. Enter supported field names separated by commas, such as id,full_name,email,company,city,created_at. Unknown fields are returned as null so schema mistakes are visible.
Related guides and solutions
Related guides and solutions
What local browser processing means for online tools
A transparent explanation of local tool processing, temporary browser memory, local storage, downloads, analytics boundaries, and cases that require remote services.
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