If every column in your test employee data is populated, you haven't tested the integration. You've tested the happy path.
Real employee data in your test environment creates compliance nightmares. One leaked staging database = GDPR fines and angry customers.
Manually creating dummy employee records is tedious. And "John Doe" appearing 500 times doesn't test realistic edge cases.
Generic mock HR data tools don't understand org hierarchies, salary bands, or realistic employee relationships.
Synthetic HRIS generates fake employee data that actually looks real. Proper org charts, believable salaries, realistic tenure distributions, not random gibberish.
Names, emails, departments, managers, salaries, hire dates, performance scores, and more. Everything your HRIS test data needs.
Pick the HR system you sync with. 72 vendors are mapped, and the columns it doesn't support aren't in the file at all.
Employees report to managers who report to directors. Departments have realistic headcounts. Salaries match job levels.
Hires, terminations, rehires, promotions and mid-year comp changes, as a second CSV keyed on employee_id, with one coherent pay chain per person.
Testing your HRIS integration? Generate mock employee records that match Workday, BambooHR, or SAP schemas. Realistic payloads, not placeholder junk.
Generate up to 50,000 employee records in a single run. A 50,000-person org takes about 12 seconds, or about a minute with 36 months of history. Every record carries a full org hierarchy, so your load tests exercise real reporting chains.
Populate your staging database with believable employee test data. QA can test real workflows without compliance concerns.
Pass a seed and the same request returns byte-identical data: the same people, the same org chart, the same salaries, every run. Omit it for fresh data on every call.
Generate test data with a single API call
# Generate 1,000 test employees. Sign in first - the API uses
# your session cookie, so save it once and reuse it.
curl -X POST https://synthetic-hris.com/api/generate \
-H "Content-Type: application/json" \
-b "session_token=$SESSION_TOKEN" \
-d '{
"org_size": 1000,
"industry": "51",
"seed": 42
}'
# Returns a job id; poll it, then download the CSV.
# {"job_id": "...", "status_url": "/api/jobs/{id}/status", ...}
curl -b "session_token=$SESSION_TOKEN" \
https://synthetic-hris.com/api/jobs/$JOB_ID/status
Generic fake data tools generate random strings. We generate realistic HR data.
| Feature | Generic Tools | Synthetic HRIS |
|---|---|---|
| Org hierarchy relationships | ✗ Random | ✓ Realistic reporting chains |
| Salary/job level correlation | ✗ Random numbers | ✓ Market-realistic bands |
| Reproducible output | ✗ Random every run | ✓ Seed it for identical data |
| HRIS-specific fields | ✗ Basic fields only | ✓ 55 HR-specific fields |
No signup required. Grab a CSV and start building immediately.
100 employees · Retail sector · 55 fields
📥 Download CSV~25KB · Instant download
📊 Or see a preview with charts →100 employees · Manufacturing sector · 55 fields
📥 Download CSV~25KB · Instant download
📊 Or see a preview with charts →Generate datasets with specific industries, sizes, and event history. No signup required.
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