Health Insurance Cards OCR API

Extract detailed data from Health Insurance Cards in seconds using Veryfi's multi-modal LLM API called AnyDocs. A health insurance card contains vital information about an individual's medical coverage, including member ID, group number, plan details, and provider networks. By extracting data from health insurance cards, you can streamline patient registration, automate benefits verification, accelerate claims processing, and ensure accurate billing and compliance with healthcare regulations.

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Health Insurance Cards OCR API

Unlock a Wealth of Data in Health Insurance Cards

Every health insurance card contains dozens of critical data points that healthcare organizations desperately need—member IDs, group numbers, plan types, coverage tiers, copay amounts, deductible information, and provider network details—yet most medical practices, hospitals, and healthcare systems still rely on painfully manual processes that consume 15-25 minutes per patient registration, create massive administrative bottlenecks, and leave dangerous room for human error. From urgent care centers losing precious time while patients wait for benefits verification, to specialty clinics struggling with prior authorization delays, to telehealth platforms battling insurance validation roadblocks, the cost of manual insurance verification extends far beyond wasted time—it directly impacts patient care, revenue cycle efficiency, and regulatory compliance.

Veryfi’s Health Insurance Card OCR API transforms this broken process by instantly extracting structured, actionable data from physical cards and digital images with 99%+ accuracy, eliminating the need for manual data entry, lengthy verification calls, and the endless administrative friction that delays patient care and frustrates both staff and patients. Whether you’re processing dozens of patients daily or thousands, our advanced machine learning technology scales effortlessly to turn health insurance cards into instant patient intelligence, helping forward-thinking healthcare organizations across every specialty—from dental practices ensuring seamless appointments to hospital systems accelerating emergency admissions—stop losing time and revenue to verification delays and start gaining the operational advantage that comes from real-time, automated insurance processing.

AI for your Healthcare Business

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Hospitals & Health Systems

Emergency department delays cost hospitals $2.7M annually in lost revenue and patient diversions. Manual insurance verification takes 8-12 minutes per admission, creating dangerous bottlenecks when seconds matter. Veryfi’s Health Insurance Card API instantly validates coverage and eligibility in under 3 seconds, reducing ED registration time by 75% while ensuring accurate billing. Save lives, capture revenue, eliminate delays.

Medical Practices & Clinics

Insurance verification errors cause 32% of claim denials, costing practices $3,200 per month in rework and lost revenue. Manual card entry creates billing mistakes, delayed payments, and frustrated staff. Veryfi’s API instantly captures member IDs, group numbers, and copay details with 99.5% accuracy, reducing claim denials by 68% and accelerating reimbursements. Get paid faster, reduce administrative burden.
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Pharmacies & Retail Health

Prescription rejection rates of 15% cost pharmacies $847 per day in lost sales and customer frustration. Manual insurance card verification at pickup creates long lines and abandoned prescriptions. Veryfi’s API instantly validates coverage and formulary details, reducing rejection rates by 82% while streamlining patient pickup experiences. Fill more prescriptions, serve customers faster, maximize revenue.
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Telehealth Platforms

Insurance verification delays cause 28% of virtual appointment cancellations, costing telehealth platforms $4.2M annually in lost consultations. Manual benefit checks before video calls create friction that pushes patients to competitors. Veryfi’s API instantly validates coverage during registration, enabling seamless virtual care experiences that convert 94% more appointments. Increase utilization, reduce abandonment, grow revenue.
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Urgent Care Centers

Walk-in patients abandon visits after 15-minute wait times, costing urgent care centers $1.8M annually in lost revenue. Manual insurance verification creates bottlenecks during peak hours when rapid turnover is critical. Veryfi’s API instantly processes insurance cards via mobile check-in, reducing wait times by 65% and increasing patient throughput by 40%. See more patients, generate more revenue, improve satisfaction.
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Dental & Vision Practices

Specialty insurance verification takes 12-18 minutes per patient, with 25% of dental procedures requiring pre-authorization that delays treatment. Manual benefit checks create scheduling gaps and frustrated patients. Veryfi’s API instantly validates dental and vision coverage, checks annual maximums, and streamlines pre-auth workflows, reducing appointment delays by 70%. Treat patients faster, optimize schedules, maximize benefits utilization.
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Healthcare Revenue Cycle

Prior authorization denials cost healthcare organizations $31B annually, with 64% caused by insurance verification errors. Manual eligibility checks create claim submission delays that extend payment cycles by 23 days. Veryfi’s API instantly validates member information and benefit details, reducing prior auth denials by 78% and accelerating cash flow. Get paid faster, reduce denials, improve financial performance.

+ Custom Healthcare Solutions

Every healthcare organization has unique insurance verification challenges. Whether you’re processing health cards for patient onboarding, specialty care coordination, or custom compliance workflows, Veryfi’s API can be tailored for your specific needs. Reach out to [email protected] and let’s automate your healthcare insurance verification process.
Request: Health Insurance Cards Data Extraction
import requests
url = "https://api.veryfi.com/api/v8/partner/any-documents"
headers = {
'CLIENT-ID': '<API_KEY_VALUE>',
'AUTHORIZATION': '<API_KEY_VALUE>'
}
payload = {'file_url': 'https://cdn…'}
response = requests.post(url, headers=headers, data=payload)
print(response.json())
Response: Structured JSON
{
“external_id”: null,
“img_url”: “/api-demo/static/demos/us-health-insurance-card/img.png”,
“img_thumbnail_url”: “/api-demo/static/demos/us-health-insurance-card/img.png”,
“id”: 5990193,
“created_date”: “2025-05-01 17:36:13”,
“updated_date”: “2025-05-01 17:36:13”,
“bin_number”: “83717”,
“dependent_names”: [],
“effective_date”: null,
“group_number”: null,
“insurance_company”: “Kaiser Permanente Insurance Company”,
“member_id”: “19287382”,
“pcn_number”: “NCSF”,
“policy_number”: “19287382”,
“policy_plan_name”: “Exclusive Provider Organization (EPO)”,
“primary_care_provider_copay_amount”: null,
“primary_care_provider_name”: null,
“subscriber_name”: “JOHN X. DOE”
}

Health Insurance Cards OCR API

Veryfi’s Health Insurance Cards OCR API is easy and fast to implement with just a few lines of code (as shown).

Health Insurance Cards OCR API comes bundled with:
✓ Day-1 Ready Pre-Trained Receipts AI model,
✓ Free 🧰 SDKs to help you launch faster in your preferred programming language and
✓ Easy to use no-code API 🗔 Portal where you can store and edit your documents, fine-tune the ML model and more.

US Health Insurance Card – Fields Supported

  • Insurance Information
    • Insurance Company: Kaiser Permanente Insurance Company
    • Member ID: 19287382
    • Policy Number: 19287382
    • Policy Plan Name: Exclusive Provider Organization (EPO)
    • BIN Number: 83717
    • PCN Number: NCSF
    • Group Number: null
    • Effective Date: null
  • Subscriber Information
    • Subscriber Name: JOHN X. DOE
    • Dependent Names: []
    • Primary Care Provider Name: null
    • Primary Care Provider Copay Amount: null
  • Document Metadata
    • Document ID: 5990193
    • Created Date: 2025-05-01 17:36:13
    • Updated Date: 2025-05-01 17:36:13
    • External ID: null
  • Document Information
    • OCR Score: 0.975 (97.5%)
    • Page Width: 1024 pixels
    • Page Height: 702 pixels

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