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Human Resources

HR Documents & Employee Records

Process resumes, employee records, and HR documents to extract candidate information and maintain personnel databases.

The Resume Black Hole Problem

Ever wonder what happens to the 250 resumes that arrive for a single job posting?

Here's the reality: most of them never get read by a human. They can't be—there isn't enough time. HR teams end up doing keyword searches, hoping the right candidates happen to use the right terms. Great candidates get lost because their resume said "led" instead of "managed" or "Python" instead of "python."

The resume black hole isn't a myth. It's a consequence of manual processing at scale.

Beyond Resume Parsing

But resumes are just the beginning. HR departments drown in paperwork:

  • Onboarding documents: Tax forms, I-9s, direct deposit authorizations
  • Performance records: Reviews, goal tracking, development plans
  • Benefits enrollment: Insurance selections, beneficiary forms, FSA elections
  • Compliance paperwork: Certifications, training records, policy acknowledgments
  • Exit documentation: Resignation letters, exit interviews, knowledge transfer

    • Every employee generates a file cabinet's worth of documents over their tenure. Finding specific information across those files? That's where hours disappear.

    Intelligent HR Document Processing

    PDF Parser handles HR documents with understanding of their unique characteristics.

    For resumes, it extracts:

  • Contact information and location
  • Work history with dates and responsibilities
  • Education and certifications
  • Skills and technologies
  • Languages and proficiencies

    • For employee documents, it captures:

  • Tax withholding information
  • Emergency contacts and beneficiaries
  • Training completions and certifications
  • Performance ratings and feedback
  • Compensation history

    • The data flows directly into HRIS systems, eliminating manual entry and the errors that come with it.

    From Screening to Matching

    Resume parsing isn't just about extraction—it's about matching.

    When you have structured candidate data, you can:

  • Match skills to job requirements automatically
  • Identify candidates with specific combinations of experience
  • Surface qualified internal candidates for new roles
  • Track talent pools for future positions
  • Reduce bias by focusing on qualifications over formatting

    • The recruiter's job shifts from reading resumes to evaluating candidates—the part that actually requires human judgment.

    Compliance Without the Headache

    HR compliance requires documentation. Proving that employees completed required training. Maintaining records of certifications. Tracking policy acknowledgments.

    With structured document processing:

  • Training certificates are automatically logged
  • Expiring certifications trigger renewal alerts
  • Audit trails are built automatically
  • Compliance reports generate in seconds instead of days

    • The paperwork still happens. It just stops consuming everyone's time.

    What Gets Extracted

    From typical HR documents:

    Resumes:

  • Name, contact info, location
  • Work experience with dates
  • Job titles and responsibilities
  • Education and degrees
  • Skills and certifications
  • Languages

    • Employee Records:

  • Personal information
  • Employment dates
  • Position history
  • Compensation records
  • Training completions
  • Performance ratings
  • Benefits elections

    • Key Benefits

    • Resume parsing and screening
    • Employee record management
    • Skills and experience extraction
    • Compliance documentation
    • Automated candidate matching

    Real Examples

    See it in action

    Explore practical examples of how PDF Parser handles human resources documents.

    Resume Parsing

    Extract structured candidate information from resumes in any format.

    Input

    PDF resumes
    Word document CVs
    LinkedIn PDF exports

    Output Fields

    namecontact_infowork_experience[]education[]skills[]certifications[]+1 more

    Employee Onboarding Forms

    Process new hire paperwork including tax forms and direct deposit authorizations.

    Input

    W-4 tax forms
    I-9 verification
    Direct deposit forms
    Emergency contact forms

    Output Fields

    employee_namessn_last_fourtax_withholdingbank_infoemergency_contactstart_date

    Performance Review Processing

    Extract ratings, feedback, and goals from employee performance reviews.

    Input

    Annual performance reviews
    360 feedback forms
    Goal tracking documents

    Output Fields

    employee_idreview_periodoverall_ratingcompetency_scores[]achievements[]goals[]+1 more

    How It Works

    From document to data in 3 steps

    1

    Upload

    Upload your human resources documents in PDF format

    2

    Extract

    Our AI analyzes and extracts the data you need

    3

    Export

    Download structured JSON or CSV for your systems

    FAQ

    Frequently asked questions

    Yes. Define a 'skills' field and the AI extracts them as a structured array, regardless of how the resume formats the skills section.

    PDF Parser handles various resume layouts — single-column, two-column, creative designs — and supports documents in multiple languages.

    PDF Parser accepts PDF files and common image formats including JPEG, PNG, WebP, TIFF, BMP, and GIF. Files can be up to 20 MB each.

    Accuracy depends on document quality, but PDF Parser handles both digital and scanned documents with high reliability. You can verify results and re-run extractions as needed.

    No. Unlike traditional parsers, PDF Parser uses AI to understand document layouts automatically. Just define the fields you want and the AI figures out where they are.

    PDF Parser outputs structured JSON and CSV. JSON is ideal for API integrations and databases, while CSV works for spreadsheets and data analysis tools.

    Yes. Documents are processed in memory and not permanently stored. We use OpenAI for extraction — see our privacy policy for full details.

    Yes. PDF Parser supports batch uploads — drag and drop multiple files and they are processed in parallel for faster results.

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