跳到正文
cccskills
免费在 GitHub 公开

extract-p45-data

Extract structured fields from p45 documents.

中文简介正在准备中。当前显示原文说明。

iterationlayer/skills
集成工具n8n
查看安装方法

包含的文件（1）

  • SKILL.md12.2 KB

SKILL.md（原文）

安装前可以查看交给 AI 代理的指令内容。

Extract P45 Data

Payroll and HR teams use this recipe to extract P45 fields into structured JSON for payroll checks, employee records, and finance reconciliation.

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": "p45.pdf",
      "url": "https://example.com/documents/p45-sample.pdf"
    }
  ],
  "schema": {
    "fields": [
      {
        "name": "employee_name",
        "type": "TEXT",
        "description": "Employee name"
      },
      {
        "name": "employer_name",
        "type": "TEXT",
        "description": "Employer name"
      },
      {
        "name": "employee_identifier",
        "type": "TEXT",
        "description": "Employee, payroll, or taxpayer identifier"
      },
      {
        "name": "period_end_date",
        "type": "DATE",
        "description": "Pay period, statement, or tax year end date"
      },
      {
        "name": "gross_pay",
        "type": "CURRENCY_AMOUNT",
        "description": "Gross pay or taxable compensation"
      },
      {
        "name": "tax_withheld",
        "type": "CURRENCY_AMOUNT",
        "description": "Tax withheld"
      },
      {
        "name": "social_contributions",
        "type": "CURRENCY_AMOUNT",
        "description": "Social security or payroll contributions"
      },
      {
        "name": "net_pay",
        "type": "CURRENCY_AMOUNT",
        "description": "Net pay"
      },
      {
        "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": "p45.pdf",
      "url": "https://example.com/documents/p45-sample.pdf"
    }
  ],
  "schema": {
    "fields": [
      {
        "name": "employee_name",
        "type": "TEXT",
        "description": "Employee name"
      },
      {
        "name": "employer_name",
        "type": "TEXT",
        "description": "Employer name"
      },
      {
        "name": "employee_identifier",
        "type": "TEXT",
        "description": "Employee, payroll, or taxpayer identifier"
      },
      {
        "name": "period_end_date",
        "type": "DATE",
        "description": "Pay period, statement, or tax year end date"
      },
      {
        "name": "gross_pay",
        "type": "CURRENCY_AMOUNT",
        "description": "Gross pay or taxable compensation"
      },
      {
        "name": "tax_withheld",
        "type": "CURRENCY_AMOUNT",
        "description": "Tax withheld"
      },
      {
        "name": "social_contributions",
        "type": "CURRENCY_AMOUNT",
        "description": "Social security or payroll contributions"
      },
      {
        "name": "net_pay",
        "type": "CURRENCY_AMOUNT",
        "description": "Net pay"
      },
      {
        "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": "p45.pdf",
      "url": "https://example.com/documents/p45-sample.pdf"
    }
  ],
  "schema": {
    "fields": [
      {
        "name": "employee_name",
        "type": "TEXT",
        "description": "Employee name"
      },
      {
        "name": "employer_name",
        "type": "TEXT",
        "description": "Employer name"
      },
      {
        "name": "employee_identifier",
        "type": "TEXT",
        "description": "Employee, payroll, or taxpayer identifier"
      },
      {
        "name": "period_end_date",
        "type": "DATE",
        "description": "Pay period, statement, or tax year end date"
      },
      {
        "name": "gross_pay",
        "type": "CURRENCY_AMOUNT",
        "description": "Gross pay or taxable compensation"
      },
      {
        "name": "tax_withheld",
        "type": "CURRENCY_AMOUNT",
        "description": "Tax withheld"
      },
      {
        "name": "social_contributions",
        "type": "CURRENCY_AMOUNT",
        "description": "Social security or payroll contributions"
      },
      {
        "name": "net_pay",
        "type": "CURRENCY_AMOUNT",
        "description": "Net pay"
      },
      {
        "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: "p45.pdf",
				Url: "https://example.com/documents/p45-sample.pdf",
			},
		},
		Schema: il.ExtractionSchema{
			Fields: []any{
				il.TextFieldConfig{
					Name: "employee_name",
					Type: "TEXT",
					Description: "Employee name",
				},
				il.TextFieldConfig{
					Name: "employer_name",
					Type: "TEXT",
					Description: "Employer name",
				},
				il.TextFieldConfig{
					Name: "employee_identifier",
					Type: "TEXT",
					Description: "Employee, payroll, or taxpayer identifier",
				},
				il.DateFieldConfig{
					Name: "period_end_date",
					Type: "DATE",
					Description: "Pay period, statement, or tax year end date",
				},
				il.CurrencyAmountFieldConfig{
					Name: "gross_pay",
					Type: "CURRENCY_AMOUNT",
					Description: "Gross pay or taxable compensation",
				},
				il.CurrencyAmountFieldConfig{
					Name: "tax_withheld",
					Type: "CURRENCY_AMOUNT",
					Description: "Tax withheld",
				},
				il.CurrencyAmountFieldConfig{
					Name: "social_contributions",
					Type: "CURRENCY_AMOUNT",
					Description: "Social security or payroll contributions",
				},
				il.CurrencyAmountFieldConfig{
					Name: "net_pay",
					Type: "CURRENCY_AMOUNT",
					Description: "Net pay",
				},
				il.CurrencyCodeFieldConfig{
					Name: "currency",
					Type: "CURRENCY_CODE",
					Description: "Currency code",
				},
			},
		},
	})
	if err != nil {
		panic(err)
	}

	_ = result
}

{
  "name": "Extract P45 Data",
  "nodes": [
    {
      "parameters": {
        "content": "## Extract P45 Data\n\nPayroll and HR teams use this recipe to extract P45 fields into structured JSON for payroll checks, employee records, and finance reconciliation.\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-p45-data-overview",
      "name": "Overview"
    },
    {
      "parameters": {},
      "type": "n8n-nodes-base.manualTrigger",
      "typeVersion": 1,
      "position": [
        250,
        300
      ],
      "id": "extract-p45-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\": \"employer_name\",\n      \"type\": \"TEXT\",\n      \"description\": \"Employer name\"\n    },\n    {\n      \"name\": \"employee_identifier\",\n      \"type\": \"TEXT\",\n      \"description\": \"Employee, payroll, or taxpayer identifier\"\n    },\n    {\n      \"name\": \"period_end_date\",\n      \"type\": \"DATE\",\n      \"description\": \"Pay period, statement, or tax year end date\"\n    },\n    {\n      \"name\": \"gross_pay\",\n      \"type\": \"CURRENCY_AMOUNT\",\n      \"description\": \"Gross pay or taxable compensation\"\n    },\n    {\n      \"name\": \"tax_withheld\",\n      \"type\": \"CURRENCY_AMOUNT\",\n      \"description\": \"Tax withheld\"\n    },\n    {\n      \"name\": \"social_contributions\",\n      \"type\": \"CURRENCY_AMOUNT\",\n      \"description\": \"Social security or payroll contributions\"\n    },\n    {\n      \"name\": \"net_pay\",\n      \"type\": \"CURRENCY_AMOUNT\",\n      \"description\": \"Net pay\"\n    },\n    {\n      \"name\": \"currency\",\n      \"type\": \"CURRENCY_CODE\",\n      \"description\": \"Currency code\"\n    }\n  ]\n}",
        "files": {
          "fileValues": [
            {
              "fileInputMode": "url",
              "fileName": "p45.pdf",
              "fileUrl": "https://example.com/documents/p45-sample.pdf"
            }
          ]
        }
      },
      "type": "n8n-nodes-iterationlayer.iterationLayer",
      "typeVersion": 1,
      "position": [
        500,
        300
      ],
      "id": "extract-p45-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 p45 data from the file at [file URL]. Use the extract_document tool with these fields:

- employee_name (TEXT): Employee name
- employer_name (TEXT): Employer name
- employee_identifier (TEXT): Employee, payroll, or taxpayer identifier
- period_end_date (DATE): Pay period, statement, or tax year end date
- gross_pay (CURRENCY_AMOUNT): Gross pay or taxable compensation
- tax_withheld (CURRENCY_AMOUNT): Tax withheld
- social_contributions (CURRENCY_AMOUNT): Social security or payroll contributions
- net_pay (CURRENCY_AMOUNT): Net pay
- currency (CURRENCY_CODE): Currency code

Response

{
  "success": true,
  "data": {
    "employee_name": {
      "value": "Employee Name",
      "confidence": 0.97,
      "citations": [
        "EMPLOYEE NAME"
      ]
    },
    "employer_name": {
      "value": "Employer Name",
      "confidence": 0.97,
      "citations": [
        "EMPLOYER NAME"
      ]
    },
    "employee_identifier": {
      "value": "Employee Identifier",
      "confidence": 0.97,
      "citations": [
        "EMPLOYEE IDENTIFIER"
      ]
    },
    "period_end_date": {
      "value": "2026-04-15",
      "confidence": 0.97,
      "citations": [
        "15 Apr 2026"
      ]
    },
    "gross_pay": {
      "value": {
        "amount": "1234.56",
        "currency": "GBP"
      },
      "confidence": 0.97,
      "citations": [
        "GBP 1,234.56"
      ]
    },
    "tax_withheld": {
      "value": {
        "amount": "1234.56",
        "currency": "GBP"
      },
      "confidence": 0.97,
      "citations": [
        "GBP 1,234.56"
      ]
    },
    "social_contributions": {
      "value": {
        "amount": "1234.56",
        "currency": "GBP"
      },
      "confidence": 0.97,
      "citations": [
        "GBP 1,234.56"
      ]
    },
    "net_pay": {
      "value": {
        "amount": "1234.56",
        "currency": "GBP"
      },
      "confidence": 0.97,
      "citations": [
        "GBP 1,234.56"
      ]
    },
    "currency": {
      "value": "GBP",
      "confidence": 0.97,
      "citations": [
        "CURRENCY"
      ]
    }
  }
}

Links

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护，适用 Google 的隐私权政策和服务条款。

同一仓库的技能

compress-image-for-email

免费

Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.

中文简介正在准备中。当前显示原文说明。

iterationlayer/skills42026年6月9日 更新

compress-image-to-target-size

免费

Compress an image to fit within a specific file size in bytes using quality-first compression.

中文简介正在准备中。当前显示原文说明。

iterationlayer/skills42026年6月9日 更新

convert-contract-to-markdown

免费

Convert a contract PDF to clean markdown for clause extraction or LLM analysis.

中文简介正在准备中。当前显示原文说明。

iterationlayer/skills42026年6月9日 更新

convert-document-for-knowledge-base

免费

Convert external documents — specs, contracts, reports — to markdown for knowledge base ingestion.

中文简介正在准备中。当前显示原文说明。

iterationlayer/skills42026年6月9日 更新

convert-document-for-rag-ingestion

免费

Convert a document to clean markdown suitable for chunking and embedding in a RAG pipeline.

中文简介正在准备中。当前显示原文说明。

iterationlayer/skills42026年6月9日 更新

convert-image-format

免费

Convert an image between PNG, JPEG, and WebP formats with quality control for web optimization.

中文简介正在准备中。当前显示原文说明。

iterationlayer/skills42026年6月9日 更新

查看 iterationlayer 的全部技能

报告此技能的问题