
What it costs
- Free tier
- Yes
Free, open-source API for generating random user data, supported by optional donations.
Auto-checked on 8 August 2026Source
About Random User
What Is Random User?
Random User is a free API that generates realistic placeholder user data as an alternative to Lorem Ipsum text, focusing on people-related information. Designed for UX tools category, it provides randomly generated profiles including names, photos, and contact details to populate designs and prototypes without using generic filler content. Developers and designers integrate Random User into their workflow during early-stage prototyping, testing, and demo creation where authentic-looking user information enhances realism.
What Random User Does
- Generates random user profiles with fields such as name, gender, location, email, phone, and profile picture URLs.
- Supports filtering by parameters like gender, nationality, and number of results (up to 100 per request).
- Delivers data in JSON format for easy parsing and integration into applications or design tools.
- Allows inclusion or exclusion of specific fields like login details, date of birth, or coordinates.
- Provides seed-based generation for reproducible results across multiple calls.
- Offers bulk generation capabilities to create datasets of multiple user profiles at once.
How Random User Can Be Used
- Populate UI mockups in Figma or similar tools with realistic user avatars, names, and addresses for client presentations.
- Seed databases during software development testing to simulate user records without manual data entry.
- Create demo accounts for staging environments, including emails and phone numbers for form validation tests.
- Generate diverse user personas for UX research, mapping demographics to journey maps or empathy exercises.
- Automate prototype filling in tools like UXPin, replacing placeholder text with structured user data for interactive feature testing.
Who Is Random User For?
Random User serves UX designers needing quick, realistic user data for wireframes and prototypes, front-end developers populating test interfaces, and product teams creating sample datasets for workshops or A/B testing scenarios. It fits projects requiring scalable, privacy-safe placeholder information across beginner to advanced experience levels, particularly in agile workflows where speed and authenticity matter. Visit Random User
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