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領収書
Ryoshusho
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Japanese Financial Intelligence
The world's best Ryoshusho extraction
Process Japanese receipts with precision. Extract the receipt date (hakko-bi), issuer name (hakkosha), total paid amount (kingaku), and consumption tax breakdown (shohizei).
ryoshusho-taxi.jpg
Ryoshusho
Tenpo
Office Depot Tokyo
Shibuya-ku, Tokyo
T1234567890123
Torihiki
2024-07-23
15:42
R-2024-07-23-0123
Koumoku
2 items| Hinmei | Suryo | Kingaku |
|---|---|---|
Copy Paper A4 500 sheets | 2 | 1,600 |
Correction Tape | 3 | 900 |
Goukei
2,500
227
2,500
JPY
Shiharai
Credit Card
2024-03-14
Nippon Taxi
4,500
409
Credit Card
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Upload your Ryoshusho (領収書) to generate a structured view.
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Upload your Ryoshusho (領収書) to generate a structured view.
Connect Ryoshushos (領収書) across your stack
DocuPipe captures Ryoshusho from employee mobile uploads. Extract all expense data, then route to expense management software for automated approval.
Sources
Mobile Upload
Cloud Storage
Scanner
Destinations
Expense Management
Accounting
ERP
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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