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





















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Digitize payment vouchers with complete accuracy. Extract voucher numbers, payee details, amounts, GL coding, and approval signatures. Maintain compliant audit trails while accelerating payment processing cycles.
payment-voucher.pdf
PV-2024-08234
TechServ Solutions Inc.
321 Innovation Drive, Austin, TX 78701
VND-8923
XX-XXXXXXX
15,750
USD
ACH
****4521
| Type | Number | Amount |
|---|---|---|
Invoice | INV-2024-4521 | 8,500 |
Invoice | INV-2024-4589 | 7,250 |
| Account | Department | Amount |
|---|---|---|
6200-Professional Services | IT | 15,750 |
IT consulting services - February 2024
| Approver | Title | Date | Status |
|---|---|---|---|
Sarah Johnson | IT Director | Mar 18, 2024 | Approved |
Michael Chen | Controller | Mar 19, 2024 | Approved |
Approved for Payment
Upload your Payment Voucher to generate a structured view.
Upload your payment voucher to generate a structured view.
DocuPipe captures payment vouchers from scanned documents, email attachments, or cloud storage. Extract payment authorization details, GL accounts, and approver information, then route to accounting systems, ERP, or treasury platforms for payment execution.

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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