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Insurance

Insurance Claims Processing

Accelerate claims processing by automatically extracting policy details, claim amounts, and incident information from insurance documents.

The 30-Day Wait (That Should Take 3 Days)

Nobody files an insurance claim because they're having a good day.

Your car got totaled. Your basement flooded. Your business suffered storm damage. You're already stressed, and now you're waiting—days, sometimes weeks—while someone manually reviews your claim documents.

I've talked to insurance adjusters who describe their job as "opening PDFs and typing the same information into three different systems." Police reports, medical bills, repair estimates, policy documents—each one requires manual extraction and entry. The customer waits. The paperwork piles up.

Here's the frustrating part: most of that waiting time isn't spent deciding on the claim. It's spent processing the paperwork to get to a decision.

The Claims Processing Bottleneck

A typical insurance claim involves:

  • First Notice of Loss (FNOL): Initial claim report
  • Supporting Documentation: Police reports, photos, estimates
  • Policy Verification: Coverage limits, deductibles, exclusions
  • Damage Assessment: Repair estimates, medical bills
  • Payment Calculation: Determining the payout amount
  • Each step requires extracting data from documents and cross-referencing against policy terms. Manually, this takes 15-30 days for a standard claim. Much of that time is pure document processing overhead.

    Intelligent Document Processing for Claims

    AI-powered claims processing doesn't just read documents faster—it understands insurance context.

    When PDF Parser processes a claim:

  • It extracts claim details from any form format
  • It identifies policy numbers and matches to coverage
  • It parses damage estimates and medical bills
  • It flags discrepancies for adjuster review
  • It structures everything for claims management systems
  • The adjuster stops spending time on data entry and starts spending time on decisions—the part that actually requires human judgment.

    Fraud Detection Built In

    Here's an unexpected benefit: consistent document processing helps catch fraud.

    When every claim is processed the same way, anomalies become visible. Duplicate claims from the same incident. Repair estimates that don't match damage descriptions. Medical bills that don't align with injury reports.

    Human reviewers catch these patterns better when they're not exhausted from manual data entry. AI processing gives them the bandwidth to actually investigate.

    Speed to Resolution

    Insurance companies using AI claims processing see:

  • Claims intake: Hours instead of days
  • Document processing: Minutes instead of hours
  • First-touch resolution: Up 40%
  • Customer satisfaction scores: Significantly improved
  • When people file claims, they're already having a bad day. Faster resolution doesn't just improve metrics—it helps people get back to their lives.

    What Gets Extracted

    From a typical claims package:

  • Claim number and filing date
  • Policy details and coverage limits
  • Incident description and date
  • Claimant information
  • Damage estimates and itemization
  • Medical expenses and treatment records
  • Witness statements and police reports
  • Photos and supporting evidence metadata
  • Everything lands in your claims management system, structured and ready for adjudication.

    Key Benefits

    • Faster claims processing
    • Reduce fraudulent claims
    • Extract policy and claim details
    • Automate damage assessments
    • Improve customer satisfaction

    Real Examples

    See it in action

    Explore practical examples of how PDF Parser handles insurance documents.

    Auto Insurance Claims

    Process vehicle accident claims including police reports, estimates, and medical bills.

    Input

    Accident reports
    Repair estimates
    Medical bills
    Police reports

    Output Fields

    claim_numberpolicy_numberincident_datevehicle_infodamage_descriptionrepair_estimate+2 more

    Property Damage Claims

    Extract details from homeowner and commercial property damage claims.

    Input

    Property damage reports
    Contractor estimates
    Photo documentation
    Inventory lists

    Output Fields

    property_addressdamage_typecause_of_lossaffected_areasrepair_estimatesreplacement_costs+1 more

    Health Insurance Claims

    Process medical claims with diagnosis codes, procedures, and billing details.

    Input

    Medical claims forms
    Explanation of benefits
    Provider invoices

    Output Fields

    patient_infoprovider_infodiagnosis_codes[]procedure_codes[]billed_amountallowed_amount+1 more

    How It Works

    From document to data in 3 steps

    1

    Upload

    Upload your insurance 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

    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.

    Ready to automate your insurance workflow?

    Start extracting structured data from your insurance documents in minutes.