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経費精算書
Keihi Seisansho
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Japanese Financial Intelligence
The world's best Keihi Seisansho extraction
Process Japanese expense reports with precision. Extract the submitter name (shinseisha), submission date (shinseibi), individual expense items (keihi meisai), and total reimbursement amount (seisan kingaku).
keihi-seisansho-mar24.pdf
Keihi Seisansho
Watanabe Jiro
2024-07
Meisai
4 items| Hiduke | Naiyou | Basho | Kingaku |
|---|---|---|---|
2024-07-08 | Client meeting meal | Tokyo | 5,800 |
2024-07-10 | Shinkansen to Osaka | JR | 14,500 |
2024-07-10 | Taxi | Osaka | 2,200 |
2024-07-11 | Business hotel | Osaka | 9,800 |
Goukei
32,300
20,000
12,300
JPY
2024-03-31
Sales
12
45,800
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See it in action
Upload your Keihi Seisansho to generate a structured view.
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Upload your Keihi Seisansho to generate a structured view.
Connect Keihi Seisanshos across your stack
DocuPipe captures Keihi Seisansho from internal workflows. Extract all claim data, then route to accounting systems for payment processing.
Sources
HRIS
Cloud Storage
Scanner
Destinations
Expense Management
Payroll
Accounting
API
Extract fields. Consistently.
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.
Secure and Compliant
Fully secure. Always.
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.
Better in every way
Experience accuracy, flexibility, and speed with DocuPipe.
| 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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