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Built for the complexity of real-world insurance documents.

Invofox parses long, high-variance policies, claims files and supporting invoices — extracting structured data where traditional OCR accuracy breaks down.

extracted.json · Insurance
// extracting · policy_2025-887.pdf
  • policy_number POL-887-2025 100%
  • insured Maria González 100%
  • coverage €450,000 99.7%
  • premium €1,240/yr 99.5%
  • effective_date 2025-01-01 100%
  • exclusions exclusions · review pp. 14-16
0 policies Verified · parsed today · 98.7% accuracy

Powering document extraction for teams at

Insurance documents push OCR beyond its limits.

Insurance workflows rely on documents that are long, dense and inconsistent by design. Policies span dozens of pages. Claims combine forms, attachments and supporting documentation. Critical fields appear in different sections, formats and layouts — sometimes even handwritten.

  • Long, variable policies

    50+ page documents with data distributed unpredictably throughout.

  • Manual data entry

    Policy details and supporting invoices captured by hand at scale.

  • Template-bound OCR

    Accuracy degrades the moment documents drift from a known template.

  • Handwritten fields

    Claim forms and attachments carry critical handwritten inputs.

  • Multi-doc claims packets

    Forms, attachments and supporting docs bundled into single uploads.

  • High operational cost

    Maintaining accuracy at scale becomes expensive and brittle.

The issue isn't automation — it's accuracy at scale.

Why insurance automation breaks at scale.

Insurance documents drift constantly. Without structuring and validation built in, OCR alone forces teams to manually review outputs — turning automation into another bottleneck.

Raw inbound
Policy · carrier_eu_50pg.pdf
Claim · accident_form_handwritten.pdf
Endorsement · rider_amend_2025.pdf
Supporting invoice · medical_repair.pdf
Mixed packet · claim_4827_bundle.pdf
Structured · validated
shipment.json
{
  "policy_number": "POL-887-2025",  "insured": "Maria González",  "coverage_amount": "€450,000",  "premium": "€1,240/yr",  "effective_date": "2025-01-01",  "exclusions": "see clauses 14-16"
}
0manual reviews per claim

From claims paperwork to faster coverage decisions.

Invofox supports each stage by structuring documents before any data extraction begins — designed for the long, high-variance documents that define insurance workflows.

  1. Step 01

    Intake & capture

    Ingest long policy documents, claims forms and supporting invoices from carriers, brokers and customers — across every format and quality.

  2. Step 02

    Document understanding & structuring

    Invofox splits, classifies and analyzes long-document layout to locate critical sections — even when data appears in different places across providers.

  3. Step 03

    Data extraction

    Extract policy fields, claim details and supporting invoice data using OCRs, LLMs and layout-aware models tuned for long, high-variance insurance documents.

  4. Step 04

    Evaluation & validation

    Field-level accuracy, mismatch detection and consistency checks surface errors before data enters claims and policy systems.

  5. Step 05

    Ready for production workflows

    Structured, validated data your platform can rely on for coverage tracking, alerts, claims adjudication and internal logic — no manual reprocessing.

Built for insurance reliability, not just OCR.

Insurance processes are document-driven. From claims review to policy management and audits, accuracy on long, high-variance documents directly impacts outcomes, customer experience and risk.

  • 01

    Automate document handling at scale

    Not just text extraction — full document pipeline.

  • 02

    Schema-based extraction

    Across long, high-variance policies and claims.

  • 03

    Layout, structure & context

    Find critical fields wherever they appear in the doc.

  • 04

    Field-level accuracy metrics

    Measure accuracy before data is used downstream.

  • 05

    Surface mismatches & edge cases

    So claims and coverage workflows don't silently fail.

  • 06

    Continuously improving models

    Through controlled experimentation and feedback.

Structured data that fits your insurance stack.

Invofox processes insurance documents asynchronously and delivers schema-aligned, validated JSON via webhooks — reliable integration with policy admin, claims and billing systems without rebuilding your stack.

Invofox API webhooks · async
PAS Policy administration
Claims Adjudication workflows
Underwriting Risk scoring
Billing Premium & payments
CRM Customer records
Invofox API Webhooks · async delivery
PAS Policy administration
Claims Adjudication workflows
Underwriting Risk scoring
Billing Premium & payments
CRM Customer records
Plug-and-play API: no brittle pipelines, no per-carrier rebuilds.

Enterprise-grade security, independently verified.

Click on our certifications below to see the details.

Compliance
SOC 2 badge
SOC 2 Active
Type II · audited annually by AICPA

Our systems and controls are independently audited every year against the AICPA Trust Services Criteria — security, availability, processing integrity, confidentiality, and privacy.

Zero-retention

Process. Deliver. Erase.

Documents deleted right after delivery. No copies, no backups, no logs.

Opt-in · Only for Scale and Enterprise clients

No copies No backups No logs
Self-hosted

Run it on your servers.

Deploy Invofox inside your own infrastructure. Same API, your perimeter.

Only for Enterprise clients

On-prem VPC Air-gap
Want the full report? Audits, policies, sub-processors and the latest pen-test summary live in our trust center. Open trust center

Frequently asked questions.

~/invofox / faq.json
types.json
1
2 ··"question" "What insurance documents does Invofox support?"
3
4 ··"answer" "Policies and schedules, endorsements, riders and amendments, declarations pages and coverage summaries, claims forms, supporting invoices (vendor, medical, repair, service), and mixed-format PDFs where relevant data is distributed throughout."
5
Documents types.json
main 0 errors 0 warnings UTF-8 LF JSON

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