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Generate accurate and consistent data from any document, any layout.





















Rated 4.9/5 on G2 verified reviews
Streamline health insurance claims with intelligent document processing. Extract patient information, diagnosis codes, procedure details, and billing data automatically. Reduce processing time and improve claims accuracy.
health-insurance-claim.pdf
HIC-2024-567890
GHP-2024-345678
CORP-5000
Jennifer Martinez
1985-07-22
JM785522
123 Health Ave, Boston, MA 02101
Boston Medical Associates
1234567890
04-1234567
Office
| Value |
|---|
J06.9 |
R05.9 |
| Cpt code | Description | Charge |
|---|---|---|
99213 | Office visit, established patient | 150 |
87880 | Strep test | 45 |
195
N/A
Upload your Health Insurance Claim to generate a structured view.
Upload your Health Insurance Claim to generate a structured view.
DocuPipe captures health insurance claims from provider portals, member submissions, or clearinghouses. Extract patient data, diagnosis codes, and billing details, then route to claims adjudication systems for faster reimbursement.

Your business has specific documents with your own rules of how you need to understand them and act on them. Define exactly what you need to extract, reliably, for any layout and language.
Your documents are your own and never shared for any reason. DocuPipe encrypts all documents in transit and at rest, and has undergone formal certification to become SOC‑2 and ISO 27001 compliant, ensuring that the highest standards of information security are met. DocuPipe is both GDPR and HIPAA compliant.

| Feature | DocuPipe | Textract | Google OCR | GPT |
|---|---|---|---|---|
| OCR printed text | ||||
| Handle simple tables | ||||
| Handle long documents | ||||
| OCR handwriting | ||||
| Nested tables | ||||
| Complex forms | ||||
| Crossed out text | ||||
| Support for 60+ languages | ||||
| AI document standardization | ||||
| Speed | ||||
| Document type classification | ||||
| Document Splitting | ||||
| Highlight information source on document | ||||
| Visual Review |
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