Automate your HR document workflows
- Extracts skills, experience, and education from any resume format
- Reads passports and national IDs for onboarding verification
{
"full_name": "Sarah Johnson",
"email": "sarah.j@example.com",
"phone": "+1 555 0142",
"location": "San Francisco, CA",
"skills": ["Python", "SQL", "Tableau"],
"work_experience": [
{
"company": "DataCo Inc.",
"title": "Data Analyst",
"from": "2022-06",
"to": "2026-01"
}
],
"education": [
{
"degree": "BSc Computer Science",
"institution": "UC Berkeley",
"year": 2022
}
]
}HR document automation helps recruitment and people operations teams move faster without sacrificing data quality. Instead of manually retyping candidate data or onboarding details, Parselyze extracts the fields you need and returns structured JSON ready for your ATS or HRIS.
This is especially useful when documents arrive in inconsistent layouts: resumes from different applicants, scanned identity documents, or signed employment contracts sent as PDFs. Parselyze gives your team one consistent API workflow for all of them.
What HR teams extract with Parselyze
From candidate sourcing to onboarding, every document becomes structured data your systems can actually use.
Resumes and CVs
Candidate name, email, phone, location, skills, work history, certifications, and education level extracted into your ATS schema.
Identity documents
Passport number, nationality, date of birth, expiry date, and issuing country captured for onboarding verification flows.
Employment contracts
Role title, start date, salary, notice period, probation clauses, and contract type pulled into your HRIS automatically.
Onboarding forms
Tax IDs, bank details, emergency contacts, addresses, and payroll data digitized without manual re-entry.
Common HR and recruitment workflows
From sourcing to onboarding, Parselyze handles the document-heavy steps so your HR team can focus on people rather than paperwork.
Resume and CV Parsing
Extract candidate names, contact details, skills, work history, and education from any resume format. Feed the data straight into your ATS.
ID Document Verification
Read passports, national IDs, and driver's licenses to extract name, date of birth, document number, and expiry date during onboarding.
Employment Contract Processing
Extract start dates, role titles, salary details, and contract terms from signed employment agreements to keep your HRIS records accurate.
Onboarding Form Digitization
Turn paper and PDF onboarding forms into structured records. Tax IDs, bank details, emergency contacts, no re-keying required.
Frequently asked questions
Key points for teams automating recruitment and onboarding workflows.
What HR documents can Parselyze parse automatically?
Parselyze can parse resumes, CVs, passports, national IDs, onboarding forms, and employment contracts. You define the fields you need, and the API returns structured JSON for each document.
Can I map extracted candidate data to my ATS or HRIS?
Yes. The JSON output can be mapped directly to systems like Workday, Greenhouse, Lever, BambooHR, or any internal HR platform using their APIs or an automation tool.
Does Parselyze work with different resume layouts?
Yes. The extraction flow is designed to handle different resume and document layouts without building a separate parser for each format.
Can I extract custom fields from onboarding documents?
Yes. You can define your own extraction schema in the template builder, including nested fields and arrays for skills, work history, dependents, or benefits information.
Is this suitable for high-volume hiring or onboarding?
Yes. Parselyze supports asynchronous processing and webhook delivery, which is useful when you need to process large batches of applicant or onboarding documents.
Ready to integrate?
SDK examples, REST API reference, webhook handler, and cURL samples are all on the developer page.
Spend less time on documents, more on people
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