Data Generator Advanced FAQs
Explore in-depth answers to technical and advanced questions about using our fake data generators for development, testing, and integration. This page covers edge cases, randomization logic, uniqueness, API advice, performance, and more.
Our generators use JavaScript's
Math.random() function to provide pseudo-random output. This is sufficient for most development and QA needs but is not cryptographically secure. While each run generally produces unique records, requesting a small number of records (e.g., 5–50) may occasionally result in duplicates, especially for simple data types. For large-scale uniqueness, especially emails or IDs, consider adding your own logic to enforce uniqueness or use our API options that support unique constraints.
No, our data is synthetic and does not intentionally match real individuals, organizations, or locations. Name and address components are selected from generic, commonly-used lists. However, due to coincidence and the use of popular name/address fragments, some generated combinations may resemble real-world data. Always review generated data before using it in sensitive environments.
The online generator UI limits single exports to a reasonable maximum to ensure browser performance and privacy. For bulk data needs (10,000+ records), we recommend using our developer API or running our open-source scripts locally. This approach bypasses browser limits and allows advanced customization, including data shape, format, and scale.
Yes. To maintain fair use and system reliability, our API endpoints apply rate limits based on IP and API key (where required). Free access is intended for small-scale, non-commercial test cases. For higher volumes, automation, or commercial integration, contact us for access options.
The default online generators do not support seeding, so each session produces different results. For advanced reproducibility, use our developer API or open-source tools, which may support seeding via parameters or configuration. This is useful for testing identical datasets across multiple environments.
The main generator provides several standard formats (CSV, JSON, Table), but custom object structures or deeply nested data are best handled via our API or downloadable scripts. These advanced options allow you to define custom schemas, field types, and even include conditional logic or data relationships.
We’re always refining our tools for accuracy and flexibility. If you spot an issue or have a suggestion, email us at hello@safetestdata.com. Please include details and, if possible, steps to reproduce your issue. We prioritize changes that improve reliability, privacy, or developer experience.
Absolutely. Our generators are suitable for populating test databases and simulating large-scale data flows. Keep in mind that extremely large datasets should be generated offline or via the API to avoid browser slowdowns. Also, ensure you respect privacy and compliance boundaries when using fake data in production-like scenarios.
The default dataset is English-centric, designed for North American and global software testing. For other languages or locales, advanced users can request or contribute custom lists, or adapt our scripts to use alternate datasets. We plan to expand language support based on demand.
Key parts of our client-side generator logic and sample datasets are open source and available on request. You may host your own instance for internal or personal use, subject to the project’s terms. For full access or to contribute improvements, email hello@safetestdata.com.
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