Automate healthcare and insurance document processing
- Works with any medical form or clinical document format
- Extracts diagnosis codes, patient identifiers, and clinical details
- REST API for integration with existing EHR systems
{
"patient_name": "Marc Dupont",
"date_of_birth": "1985-07-14",
"insurance_id": "INS-982341",
"policy_number": "POL-2024-AA",
"primary_diagnosis": "J06.9",
"referring_physician": "Dr. Isabelle Morin",
"appointment_date": "2026-03-10",
"allergies": ["penicillin"],
"emergency_contact": "Marie Dupont - +33 6 12 34 56"
}Healthcare and insurance teams handle large amounts of information locked inside forms, claims, and clinical PDFs. Manual extraction slows down intake, creates rework, and makes it harder to route cases quickly.
Parselyze turns those documents into structured JSON so your teams can automate intake, claims triage, and downstream integrations without building separate parsers for every layout.
Documents healthcare and insurance teams automate
One API workflow for intake, claims, and clinical paperwork across multiple document sources.
Patient intake and registration forms
Capture demographics, insurance identifiers, consent details, and contact information into your intake workflow.
Insurance claims and claim attachments
Extract claim numbers, policy references, diagnosis codes, billed amounts, and supporting metadata for downstream processing.
Clinical reports and lab results
Read discharge summaries, radiology reports, and test results to make important fields searchable and structured.
Prescriptions and referrals
Digitize medication names, dosages, practitioner details, referral context, and patient identifiers without re-keying.
Common healthcare and insurance workflows
Speed up patient registration, claims processing, and clinical data capture without compromising accuracy or security.
Patient Intake Form Digitization
Convert paper and PDF patient registration forms into structured records. Name, date of birth, insurance details, and medical history, without manual entry.
Insurance Claim Processing
Extract claim numbers, policy references, diagnosis codes, and amounts from insurance claim documents. Reduce claims processing time significantly.
Medical Report Parsing
Read lab results, radiology reports, and discharge summaries to extract structured clinical data for EHR integration or analytics.
Prescription and Referral Processing
Parse prescription forms and referral letters to extract medication names, dosages, referring physician details, and patient identifiers.
Frequently asked questions
Practical details for healthcare and insurance automation teams.
Which healthcare and insurance documents can Parselyze process?
Parselyze can process patient intake forms, insurance claims, prescriptions, referrals, medical reports, and many other structured or semi-structured documents delivered as PDFs or images.
Can I define exactly which fields to extract?
Yes. You define your schema in the template builder so the API returns the exact fields your healthcare or insurance workflow needs.
Does Parselyze support scanned documents as well as native PDFs?
Yes. Native PDFs, scanned PDFs, and common image formats can all be processed through the same API workflow.
How can this fit into an existing claims or intake pipeline?
The structured JSON response can be sent to your claims, CRM, data warehouse, or intake tooling using the REST API, your own backend, or an automation platform.
Is this suitable for high-volume processing?
Yes. Parselyze supports asynchronous processing and webhook delivery, which is useful when claim volumes or intake document loads increase.
Ready to integrate?
SDK examples, REST API reference, webhook handler, and cURL samples are all on the developer page.
Reduce administrative burden in healthcare
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