RandomUser
RandomUser: A free, focused API for reproducible fictional user profiles. Ranked #25 of 28 in Test Data Generation Tools by our editors (6.2/10); pricing: Free plan; best for random user API data.
At a glance
- Editor score6.2 / 10
- PricingFree plan
- Best forRandom user API data
- Free planYes
- Paid fromFree
- Generation modesSynthetic
- Founded2013
- Facts checked20 Sep 2026
Where it wins
- Generates up to 5,000 users in one request
- Supports JSON, XML, CSV, YAML, and PrettyJSON
- Offers seeds, filters, field selection, and password controls
Where it doesn't
- Focused on fictional user profiles rather than broad test datasets
- Cloud deployment may not suit teams seeking another deployment model
- Customization centers on profile fields, identity attributes, and passwords
Our verdict on RandomUser
RandomUser is a free, open-source service for generating fictional user profiles through a web interface or HTTP API. It is designed for developers who need sample identity data for application testing without creating test records manually. Requests can include selected nationalities, gender filters, specific profile fields, and customizable password character sets and lengths. The service has been available since 2013 and uses synthetic generation in a cloud deployment model.
The published offering is straightforward because there is no paid tier structure to compare: RandomUser is free, and the official site states that it will not require a paid subscription. Its feature depth is concentrated in repeatable API generation. Seeded results support reproducible datasets, while a single request can return up to 5,000 generated users. Responses can be returned as JSON, PrettyJSON, CSV, YAML, or XML, giving developers options for different test workflows and data-handling requirements. Field inclusion and exclusion also help keep generated records aligned with a test scenario.
RandomUser is a strong fit when the requirement is fictional user-profile data delivered through an API, especially when reproducibility, nationality selection, output format, or request volume matters. Its narrow focus is also its main boundary: teams needing broader synthetic datasets beyond user profiles should choose a tool with wider generation coverage. Likewise, organizations that require a deployment model other than cloud may need a different option. Pick RandomUser for focused, configurable identity-profile generation; avoid it when test data needs extend beyond that scope.
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RandomUser pricing
RandomUser fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Generation modes | Synthetic |
| Relational data | Not verified |
| API data generation | Yes |
| Supported data formats | JSON, PrettyJSON, CSV, YAML, XML |
| Deployment | Cloud |
| Generation limit | Not verified |
| Database connectors | Not verified |
| Deployment | Cloud |
| Platforms | Web |
| Built for | Solo, Small business (editorial estimate) |
| Pricing | Free plan |
| Website | randomuser.me |
| Facts checked | 20 Sep 2026 |
Alternatives to RandomUser
- MOSTLY AIA broad synthetic-data platform for enterprise relational data teams.9.4
- SynthesizedA database-focused platform for schema-faithful synthetic data and protected test environments.9.2
- Tonic FabricateA flexible choice for AI-assisted relational test data with API and export workflows.9.0
See all RandomUser alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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