Choose the record structure to configure
Auth UsersAuthentication users, roles, and security status
- User IDuserId
- Emailemail
- Usernameusername
- Hashed PasswordhashedPassword
- Primary Rolerole
- Permissionspermissions
- Auth Providerprovider
- MFA EnabledmfaEnabled
- Is LockedisLocked
- Failed AttemptsfailedAttempts
- Last LoginlastLogin
- Created AtcreatedAt
- Email VerifiedemailVerified
- Statusstatus
Configure, generate, export
Configure your fields above, set the row count, and hit Generate.
Export JSON, CSV, SQL, and 13 more formats.
Generate auth users data for real test scenarios
Generate up to 10,000 realistic auth users records for development, testing, imports, and demos. Select only the fields you need, rename exported keys, and keep generation entirely in the browser.
Supported output formats include JSON, YAML, NDJSON, CSV, Markdown Table, SQL, PostgreSQL, MySQL, MongoDB, C#, Python, JavaScript, XML, PHP, Perl, TypeScript. You can preview the generated dataset in any supported format, then copy or download it as a ready-to-use file.
What the auth users preset includes
Authentication users, roles, and security status
- User ID
- Username
- Hashed Password
- Primary Role
- Permissions
How to create auth users test data
- Open the preconfigured Auth Users preset.
- Choose fields and set the row count.
- Keep Safe Test Data enabled and set a seed when repeatability matters.
- Generate the data and export the complete file in your required format.
When this dataset is useful
Use this preset for fixtures, UI states, import validation, automated tests, local databases, and demos that need believable auth users records without production data.
Reproducible and private by design
A seed recreates the same output, while local generation keeps schemas and records off remote servers.
Auth Users generator FAQs
- Is the generator free?
- Yes. It is free, requires no account, and supports up to 10,000 rows.
- Does generated data leave my browser?
- No. Generation and export happen locally in your browser.
- Can I reproduce the same dataset?
- Yes. Enable a seed and reuse the same value and configuration.