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extract-keihi-seisansho-data

Extract employee, department, expense lines, tax, totals, and approval fields from Japanese expense settlement forms.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

iterationlayer/skills
연동 도구n8n
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  • SKILL.md16.4 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Extract Keihi Seisansho Data

Finance teams use this recipe to extract keihi seisansho fields into structured reimbursement records for approvals and accounting systems.

APIs Used

Document Extraction (1 credit per page)

Prerequisites

You need an Iteration Layer API key. Get one at platform.iterationlayer.com during the 7-day trial.

For full integration guidance (SDKs, auth, MCP, error handling), see the Iteration Layer Integration Guide.

Implementation

curl -X POST https://api.iterationlayer.com/document-extraction/v1/extract \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "files": [
    {
      "type": "url",
      "name": "keihi-seisansho.pdf",
      "url": "https://example.com/documents/keihi-seisansho-sample.pdf"
    }
  ],
  "schema": {
    "fields": [
      {
        "name": "employee_name",
        "type": "TEXT",
        "description": "Employee name"
      },
      {
        "name": "employee_number",
        "type": "TEXT",
        "description": "Employee number"
      },
      {
        "name": "department",
        "type": "TEXT",
        "description": "Department"
      },
      {
        "name": "submission_date",
        "type": "DATE",
        "description": "Submission date"
      },
      {
        "name": "expense_lines",
        "type": "ARRAY",
        "description": "Expense settlement lines",
        "fields": [
          {
            "name": "expense_date",
            "type": "DATE",
            "description": "Expense date"
          },
          {
            "name": "category",
            "type": "TEXT",
            "description": "Expense category"
          },
          {
            "name": "merchant",
            "type": "TEXT",
            "description": "Merchant or payee"
          },
          {
            "name": "purpose",
            "type": "TEXT",
            "description": "Business purpose"
          },
          {
            "name": "amount",
            "type": "CURRENCY_AMOUNT",
            "description": "Expense amount"
          },
          {
            "name": "consumption_tax",
            "type": "CURRENCY_AMOUNT",
            "description": "Consumption tax amount if shown"
          }
        ]
      },
      {
        "name": "total_amount",
        "type": "CURRENCY_AMOUNT",
        "description": "Total settlement amount"
      },
      {
        "name": "approval_status",
        "type": "TEXT",
        "description": "Approval status if shown"
      },
      {
        "name": "currency",
        "type": "CURRENCY_CODE",
        "description": "Currency code"
      }
    ]
  }
}'

import { IterationLayer } from "iterationlayer";

const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });

const result = await client.extractDocument({
  "files": [
    {
      "type": "url",
      "name": "keihi-seisansho.pdf",
      "url": "https://example.com/documents/keihi-seisansho-sample.pdf"
    }
  ],
  "schema": {
    "fields": [
      {
        "name": "employee_name",
        "type": "TEXT",
        "description": "Employee name"
      },
      {
        "name": "employee_number",
        "type": "TEXT",
        "description": "Employee number"
      },
      {
        "name": "department",
        "type": "TEXT",
        "description": "Department"
      },
      {
        "name": "submission_date",
        "type": "DATE",
        "description": "Submission date"
      },
      {
        "name": "expense_lines",
        "type": "ARRAY",
        "description": "Expense settlement lines",
        "fields": [
          {
            "name": "expense_date",
            "type": "DATE",
            "description": "Expense date"
          },
          {
            "name": "category",
            "type": "TEXT",
            "description": "Expense category"
          },
          {
            "name": "merchant",
            "type": "TEXT",
            "description": "Merchant or payee"
          },
          {
            "name": "purpose",
            "type": "TEXT",
            "description": "Business purpose"
          },
          {
            "name": "amount",
            "type": "CURRENCY_AMOUNT",
            "description": "Expense amount"
          },
          {
            "name": "consumption_tax",
            "type": "CURRENCY_AMOUNT",
            "description": "Consumption tax amount if shown"
          }
        ]
      },
      {
        "name": "total_amount",
        "type": "CURRENCY_AMOUNT",
        "description": "Total settlement amount"
      },
      {
        "name": "approval_status",
        "type": "TEXT",
        "description": "Approval status if shown"
      },
      {
        "name": "currency",
        "type": "CURRENCY_CODE",
        "description": "Currency code"
      }
    ]
  }
});

from iterationlayer import IterationLayer

client = IterationLayer(api_key="YOUR_API_KEY")

result = client.extract_document(**{
  "files": [
    {
      "type": "url",
      "name": "keihi-seisansho.pdf",
      "url": "https://example.com/documents/keihi-seisansho-sample.pdf"
    }
  ],
  "schema": {
    "fields": [
      {
        "name": "employee_name",
        "type": "TEXT",
        "description": "Employee name"
      },
      {
        "name": "employee_number",
        "type": "TEXT",
        "description": "Employee number"
      },
      {
        "name": "department",
        "type": "TEXT",
        "description": "Department"
      },
      {
        "name": "submission_date",
        "type": "DATE",
        "description": "Submission date"
      },
      {
        "name": "expense_lines",
        "type": "ARRAY",
        "description": "Expense settlement lines",
        "fields": [
          {
            "name": "expense_date",
            "type": "DATE",
            "description": "Expense date"
          },
          {
            "name": "category",
            "type": "TEXT",
            "description": "Expense category"
          },
          {
            "name": "merchant",
            "type": "TEXT",
            "description": "Merchant or payee"
          },
          {
            "name": "purpose",
            "type": "TEXT",
            "description": "Business purpose"
          },
          {
            "name": "amount",
            "type": "CURRENCY_AMOUNT",
            "description": "Expense amount"
          },
          {
            "name": "consumption_tax",
            "type": "CURRENCY_AMOUNT",
            "description": "Consumption tax amount if shown"
          }
        ]
      },
      {
        "name": "total_amount",
        "type": "CURRENCY_AMOUNT",
        "description": "Total settlement amount"
      },
      {
        "name": "approval_status",
        "type": "TEXT",
        "description": "Approval status if shown"
      },
      {
        "name": "currency",
        "type": "CURRENCY_CODE",
        "description": "Currency code"
      }
    ]
  }
})

package main

import il "github.com/iterationlayer/sdk-go"

func main() {
	client := il.NewClient("YOUR_API_KEY")

	result, err := client.ExtractDocument(il.ExtractDocumentRequest{
		Files: []il.FileInput{
			il.FileInput{
				Type: "url",
				Name: "keihi-seisansho.pdf",
				Url: "https://example.com/documents/keihi-seisansho-sample.pdf",
			},
		},
		Schema: il.ExtractionSchema{
			Fields: []any{
				il.TextFieldConfig{
					Name: "employee_name",
					Type: "TEXT",
					Description: "Employee name",
				},
				il.TextFieldConfig{
					Name: "employee_number",
					Type: "TEXT",
					Description: "Employee number",
				},
				il.TextFieldConfig{
					Name: "department",
					Type: "TEXT",
					Description: "Department",
				},
				il.DateFieldConfig{
					Name: "submission_date",
					Type: "DATE",
					Description: "Submission date",
				},
				il.ArrayFieldConfig{
					Name: "expense_lines",
					Type: "ARRAY",
					Description: "Expense settlement lines",
					Fields: []any{
						il.DateFieldConfig{
							Name: "expense_date",
							Type: "DATE",
							Description: "Expense date",
						},
						il.TextFieldConfig{
							Name: "category",
							Type: "TEXT",
							Description: "Expense category",
						},
						il.TextFieldConfig{
							Name: "merchant",
							Type: "TEXT",
							Description: "Merchant or payee",
						},
						il.TextFieldConfig{
							Name: "purpose",
							Type: "TEXT",
							Description: "Business purpose",
						},
						il.CurrencyAmountFieldConfig{
							Name: "amount",
							Type: "CURRENCY_AMOUNT",
							Description: "Expense amount",
						},
						il.CurrencyAmountFieldConfig{
							Name: "consumption_tax",
							Type: "CURRENCY_AMOUNT",
							Description: "Consumption tax amount if shown",
						},
					},
				},
				il.CurrencyAmountFieldConfig{
					Name: "total_amount",
					Type: "CURRENCY_AMOUNT",
					Description: "Total settlement amount",
				},
				il.TextFieldConfig{
					Name: "approval_status",
					Type: "TEXT",
					Description: "Approval status if shown",
				},
				il.CurrencyCodeFieldConfig{
					Name: "currency",
					Type: "CURRENCY_CODE",
					Description: "Currency code",
				},
			},
		},
	})
	if err != nil {
		panic(err)
	}

	_ = result
}

{
  "name": "Extract Keihi Seisansho Data",
  "nodes": [
    {
      "parameters": {
        "content": "## Extract Keihi Seisansho Data\n\nFinance teams use this recipe to extract keihi seisansho fields into structured reimbursement records for approvals and accounting systems.\n\n**Note:** This workflow uses the Iteration Layer community node (`n8n-nodes-iterationlayer`). Install it via Settings > Community Nodes on self-hosted n8n, or add it directly on n8n Cloud with Verified Community Nodes enabled.",
        "height": 280,
        "width": 500,
        "color": 2
      },
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        200,
        40
      ],
      "id": "extract-keihi-seisansho-data-overview",
      "name": "Overview"
    },
    {
      "parameters": {},
      "type": "n8n-nodes-base.manualTrigger",
      "typeVersion": 1,
      "position": [
        250,
        300
      ],
      "id": "extract-keihi-seisansho-data-trigger",
      "name": "Manual Trigger"
    },
    {
      "parameters": {
        "resource": "documentExtraction",
        "schemaInputMode": "rawJson",
        "schemaJson": "{\n  \"fields\": [\n    {\n      \"name\": \"employee_name\",\n      \"type\": \"TEXT\",\n      \"description\": \"Employee name\"\n    },\n    {\n      \"name\": \"employee_number\",\n      \"type\": \"TEXT\",\n      \"description\": \"Employee number\"\n    },\n    {\n      \"name\": \"department\",\n      \"type\": \"TEXT\",\n      \"description\": \"Department\"\n    },\n    {\n      \"name\": \"submission_date\",\n      \"type\": \"DATE\",\n      \"description\": \"Submission date\"\n    },\n    {\n      \"name\": \"expense_lines\",\n      \"type\": \"ARRAY\",\n      \"description\": \"Expense settlement lines\",\n      \"fields\": [\n        {\n          \"name\": \"expense_date\",\n          \"type\": \"DATE\",\n          \"description\": \"Expense date\"\n        },\n        {\n          \"name\": \"category\",\n          \"type\": \"TEXT\",\n          \"description\": \"Expense category\"\n        },\n        {\n          \"name\": \"merchant\",\n          \"type\": \"TEXT\",\n          \"description\": \"Merchant or payee\"\n        },\n        {\n          \"name\": \"purpose\",\n          \"type\": \"TEXT\",\n          \"description\": \"Business purpose\"\n        },\n        {\n          \"name\": \"amount\",\n          \"type\": \"CURRENCY_AMOUNT\",\n          \"description\": \"Expense amount\"\n        },\n        {\n          \"name\": \"consumption_tax\",\n          \"type\": \"CURRENCY_AMOUNT\",\n          \"description\": \"Consumption tax amount if shown\"\n        }\n      ]\n    },\n    {\n      \"name\": \"total_amount\",\n      \"type\": \"CURRENCY_AMOUNT\",\n      \"description\": \"Total settlement amount\"\n    },\n    {\n      \"name\": \"approval_status\",\n      \"type\": \"TEXT\",\n      \"description\": \"Approval status if shown\"\n    },\n    {\n      \"name\": \"currency\",\n      \"type\": \"CURRENCY_CODE\",\n      \"description\": \"Currency code\"\n    }\n  ]\n}",
        "files": {
          "fileValues": [
            {
              "fileInputMode": "url",
              "fileName": "keihi-seisansho.pdf",
              "fileUrl": "https://example.com/documents/keihi-seisansho-sample.pdf"
            }
          ]
        }
      },
      "type": "n8n-nodes-iterationlayer.iterationLayer",
      "typeVersion": 1,
      "position": [
        500,
        300
      ],
      "id": "extract-keihi-seisansho-data-extract",
      "name": "Extract Data",
      "credentials": {
        "iterationLayerApi": {
          "id": "1",
          "name": "Iteration Layer API"
        }
      }
    }
  ],
  "connections": {
    "Manual Trigger": {
      "main": [
        [
          {
            "node": "Extract Data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  }
}

Extract keihi seisansho data from the file at [file URL]. Use the extract_document tool with these fields:

- employee_name (TEXT): Employee name
- employee_number (TEXT): Employee number
- department (TEXT): Department
- submission_date (DATE): Submission date
- expense_lines (ARRAY): Each with expense_date (DATE), category (TEXT), merchant (TEXT), purpose (TEXT), amount (CURRENCY_AMOUNT), consumption_tax (CURRENCY_AMOUNT)
- total_amount (CURRENCY_AMOUNT): Total settlement amount
- approval_status (TEXT): Approval status if shown
- currency (CURRENCY_CODE): Currency code

Response

{
  "success": true,
  "data": {
    "employee_name": {
      "value": "Maria Keller",
      "confidence": 0.97,
      "citations": [
        "EMPLOYEE NAME"
      ]
    },
    "employee_number": {
      "value": "Employee Number",
      "confidence": 0.97,
      "citations": [
        "EMPLOYEE NUMBER"
      ]
    },
    "department": {
      "value": "Department",
      "confidence": 0.97,
      "citations": [
        "DEPARTMENT"
      ]
    },
    "submission_date": {
      "value": "2026-04-15",
      "confidence": 0.97,
      "citations": [
        "15 Apr 2026"
      ]
    },
    "expense_lines": {
      "value": [
        {
          "expense_date": {
            "value": "2026-04-15",
            "confidence": 0.96,
            "citations": [
              "15 Apr 2026"
            ]
          },
          "category": {
            "value": "Category",
            "confidence": 0.96,
            "citations": [
              "CATEGORY"
            ]
          },
          "merchant": {
            "value": "Merchant",
            "confidence": 0.96,
            "citations": [
              "MERCHANT"
            ]
          },
          "purpose": {
            "value": "Purpose",
            "confidence": 0.96,
            "citations": [
              "PURPOSE"
            ]
          },
          "amount": {
            "value": {
              "amount": "1234.56",
              "currency": "EUR"
            },
            "confidence": 0.96,
            "citations": [
              "1,234.56"
            ]
          },
          "consumption_tax": {
            "value": {
              "amount": "1234.56",
              "currency": "EUR"
            },
            "confidence": 0.96,
            "citations": [
              "1,234.56"
            ]
          }
        }
      ],
      "confidence": 0.97,
      "citations": [
        "EXPENSE LINES"
      ]
    },
    "total_amount": {
      "value": {
        "amount": "1234.56",
        "currency": "EUR"
      },
      "confidence": 0.97,
      "citations": [
        "1,234.56"
      ]
    },
    "approval_status": {
      "value": "Approval Status",
      "confidence": 0.97,
      "citations": [
        "APPROVAL STATUS"
      ]
    },
    "currency": {
      "value": "EUR",
      "confidence": 0.97,
      "citations": [
        "CURRENCY"
      ]
    }
  }
}

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