Turn complex healthcare documents into structured, validated data — even when formats vary across providers, payers, systems, and document types.
Trusted by 100+ companies to process millions of documents.
Healthcare teams operate across fragmented ecosystems, relying on documents created by patients, providers, labs, payers, and partners — all with different systems, standards, and constraints.
In reality, this means:
Intake forms arrive in different formats across clinics and channels
Documents are often scanned, faxed, or low quality
Lab reports and diagnostic results differ by lab and system
Referrals and prior authorization packets vary by provider and payer
Handwritten notes appear in critical fields
Field inconsistencies and missing data delay downstream workflows
Large files bundle multiple document types together
These challenges are common across healthcare workflows. At scale, manual review becomes a significant operational cost for both clinical and administrative teams.
Healthcare documents don’t behave predictably. As they move between patients, providers, labs, and payers, documents change:
Layouts shift across providers, facilities, and systems
Fields appear in different locations or formats
Documents are forwarded, merged, rescanned, or partially completed
Critical information is duplicated or conflicting across documents
In this environment, extracting text alone isn’t enough. Before data can be used downstream, it must be structured, validated, and trusted.
Without built-in validation and consistency checks, teams are forced to manually review documents anyway — turning automation into another operational bottleneck instead of a solution.
Healthcare teams rely on documents from many external sources — patients, providers, labs, payers, and partners — but inconsistent formats, layouts, and data quality make manual review the norm. Invofox supports each stage by structuring documents before any data extraction begins.
Invofox enables healthcare teams to automate workflows that depend on accurate document extraction — even when documents come from many external sources and vary in format, layout, and structure.
Healthcare workflows are fundamentally document-driven. From patient intake and referrals to billing, reporting, and operational coordination, 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 patient experience, operational efficiency, and data reliability across systems.
Invofox is built to:
Automate document handling at scale, not just extract text
Apply schema-based extraction across diverse healthcare 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
Invofox delivers structured, validated data designed to integrate directly into existing healthcare systems.
Data is delivered through a plug-and-play asynchronous API with webhook support, making it easy to connect Invofox to downstream workflows without building brittle pipelines.
Teams commonly integrate Invofox outputs into:
EHR and EMR systems
Billing and revenue cycle platforms
Intake and referral management systems
Analytics and reporting tools
Internal clinical and operational workflows
This flexibility allows teams to automate document-heavy healthcare workflows without forcing changes to their existing tech stack.
