Invofox helps insurance companies extract structured data from long, high-variance policies, claims documents, and supporting invoices — supporting audit-ready workflows and fraud review where traditional OCR accuracy breaks down.

Insurance workflows rely on documents that are long, dense, and inconsistent by design. Policies span dozens of pages. Claims include a mix of forms, attachments, and supporting documentation. Critical fields appear in different sections, formats, and layouts — sometimes even handwritten — across documents.
For many insurance software providers, this means:
Manual data entry for policy details and supporting invoices.
High operational cost to maintain accuracy
OCR systems that degrade in accuracy as documents grow longer or deviate from known templates
No reliable way to extract data when “important information can be everywhere”
The issue isn’t automation — it’s accuracy at scale.
Invofox is designed to support insurance document workflows where traditional OCR breaks down — especially in claims and policy processing, where documents are long, variable, and accuracy is critical.
Claims workflows depend on assembling and reviewing large, unstructured document sets, including: claim forms, supporting documentation, attachments, and handwritten inputs. These documents vary widely in format and structure, making manual review the default and slowing coverage and payout decisions.
Invofox helps insurance teams:
Extract structured data from complex, multi-document claims files
Capture relevant information even when it appears in different sections or handwritten fields
Reduce manual review by delivering clean, structured inputs for downstream claims systems
Designed to support faster claims review without sacrificing accuracy.
Insurance software providers frequently need to ingest full policy documents to track coverage terms, power alerts, and manage policy lifecycle events. These documents often exceed 50 pages, with relevant data distributed unpredictably throughout.
Invofox helps insurance platforms:
Extract key policy fields regardless of where they appear in the document
Handle long, non-standard PDFs without template lock-in
Structure policy data for alerts, reminders, and internal workflows
These workflows share one thing in common: long documents, inconsistent layouts, and accuracy requirements that make traditional OCR unreliable.
Invofox enables insurance teams to automate workflows that depend on accurate document extraction — even when documents are long, variable, or complex.
Insurance processes are fundamentally document-driven. From claims review to policy management and audits, progress depends on extracting accurate, structured data from documents before any downstream logic can run.
Invofox is designed for production environments where document accuracy directly impacts claims outcomes, audits, and operational efficiency.
Invofox is built to:
Automate document handling at scale, not just extract text
Apply schema-based extraction across diverse insurance documents
Understand layout, structure, and context, not just raw OCR output
Measure accuracy at the field and document level before data is used downstream
Surface mismatches and edge cases so workflows don’t silently fail
Continuously improve extraction through controlled experimentation
Run real policy documents and supporting invoices through Invofox to evaluate accuracy, surface edge cases, and understand readiness for production.



Invofox is designed for insurance documents that are long, complex, and difficult to process reliably with traditional OCR — especially when critical data can appear in different sections or layouts.
Common document types include:
Extract structured data from complex, multi-document claims files
Insurance policies and policy schedules
Endorsements, riders, and amendments
Declarations pages and coverage summaries
Supporting invoices & financial documents:
Vendor and service provider invoices
Medical, repair, or service invoices used to support coverage decisions
Line-item–heavy invoices with inconsistent layouts
Supplementary & reference documents:
Coverage-related supporting documents attached to policies
Documentation used to trigger alerts, reminders, or internal workflows
Mixed-format PDFs where relevant data is distributed throughout
Traditional OCR systems rely heavily on templates or consistent layouts. Insurance documents often exceed dozens of pages and vary by provider, making OCR accuracy unreliable without additional structure and evaluation.
Invofox goes beyond basic OCR by enabling systems to evaluate performance, surface errors, and improve extraction over time — which is critical for insurance workflows where documents evolve and accuracy requirements are high.
Invofox is GDPR- and SOC 2-ready, with all data encrypted in transit and at rest. Documents are processed within secure cloud environments, and no data is used for model retraining without customer consent.
Depending on document volume and quality, Invofox typically parses and validates a complete insurance file in a couple of minutes, reducing manual review from hours to minutes.
Absolutely. You can book a demo to see how Invofox processes your real insurance files and compare the output with your existing workflow.
Straight-through processing (STP) is how insurers describe “zero-touch claims” — workflows where claims move through systems with minimal manual intervention. STP depends on having machine-readable, reliable data extracted from documents early in the process.
Invofox supports STP by turning unstructured insurance documents into structured data that downstream claims and decision systems can use, enabling more automated insurance workflows without manual document handling.
Book a demo to see how Invofox handles long, complex insurance documents in real-world conditions.