Image to license plate number

工作流概述

这是一个包含5个节点的中等工作流,主要用于自动化处理各种任务。

工作流源代码

下载
{
  "id": "B37wvB0tdKgjuabw",
  "meta": {
    "instanceId": "98bf0d6aef1dd8b7a752798121440fb171bf7686b95727fd617f43452393daa3",
    "templateCredsSetupCompleted": true
  },
  "name": "Image to license plate number",
  "tags": [],
  "nodes": [
    {
      "id": "a656334a-0135-4d93-a6df-ca97222c9753",
      "name": "Basic LLM Chain",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        -140,
        -380
      ],
      "parameters": {
        "text": "={{ $json.prompt }}",
        "messages": {
          "messageValues": [
            {
              "type": "HumanMessagePromptTemplate",
              "messageType": "imageBinary",
              "binaryImageDataKey": "Image"
            }
          ]
        },
        "promptType": "define"
      },
      "typeVersion": 1.5
    },
    {
      "id": "41a90592-2a91-40ff-abf4-3a795733d521",
      "name": "FormResultPage",
      "type": "n8n-nodes-base.form",
      "position": [
        220,
        -380
      ],
      "webhookId": "218822fe-5eb9-4451-ae8a-14b8f484fdde",
      "parameters": {
        "options": {
          "formTitle": ""
        },
        "operation": "completion",
        "completionTitle": "Extracted information:",
        "completionMessage": "={{ $json.text }}"
      },
      "typeVersion": 1
    },
    {
      "id": "c23b95d9-b7a2-4e9e-a019-5724a9662abd",
      "name": "OpenRouter LLM",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
      "position": [
        -60,
        -180
      ],
      "parameters": {
        "model": "={{ $json.model }}",
        "options": {}
      },
      "credentials": {
        "openRouterApi": {
          "id": "bs7tPtvgDTJNGAFJ",
          "name": "OpenRouter account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "8298cd51-8c47-4bc4-af78-2c216207ef76",
      "name": "Settings",
      "type": "n8n-nodes-base.set",
      "position": [
        -340,
        -380
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "1b8381dc-5b9a-42a2-8a67-cc706b433180",
              "name": "model",
              "type": "string",
              "value": "openai/gpt-4o"
            },
            {
              "id": "72aec130-ab56-4e61-b60b-9a31dd8d02e6",
              "name": "prompt",
              "type": "string",
              "value": "Extract the number of the license plate on the front-most car depicted in the attached image and return only the extracted characters without any other text or structure."
            }
          ]
        },
        "includeOtherFields": true
      },
      "typeVersion": 3.4
    },
    {
      "id": "fae79fc9-b510-44a4-beec-4dc26dc2a13a",
      "name": "FromTrigger",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
        -560,
        -380
      ],
      "webhookId": "41e3f34b-7abe-4c64-95cd-2942503d5e98",
      "parameters": {
        "options": {},
        "formTitle": "Analyse image",
        "formFields": {
          "values": [
            {
              "fieldType": "file",
              "fieldLabel": "Image",
              "requiredField": true,
              "acceptFileTypes": ".jpg, .png"
            }
          ]
        },
        "responseMode": "lastNode",
        "formDescription": "To analyse an image, upload it here."
      },
      "typeVersion": 2.2
    }
  ],
  "active": true,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "5b9c53b9-3998-4676-999d-1ba117bf6695",
  "connections": {
    "Settings": {
      "main": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "FromTrigger": {
      "main": [
        [
          {
            "node": "Settings",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenRouter LLM": {
      "ai_languageModel": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Basic LLM Chain": {
      "main": [
        [
          {
            "node": "FormResultPage",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

功能特点

  • 自动检测新邮件
  • AI智能内容分析
  • 自定义分类规则
  • 批量处理能力
  • 详细的处理日志

技术分析

节点类型及作用

  • @N8N/N8N Nodes Langchain.Chainllm
  • Form
  • @N8N/N8N Nodes Langchain.Lmchatopenrouter
  • Set
  • Formtrigger

复杂度评估

配置难度:
★★★☆☆
维护难度:
★★☆☆☆
扩展性:
★★★★☆

实施指南

前置条件

  • 有效的Gmail账户
  • n8n平台访问权限
  • Google API凭证
  • AI分类服务订阅

配置步骤

  1. 在n8n中导入工作流JSON文件
  2. 配置Gmail节点的认证信息
  3. 设置AI分类器的API密钥
  4. 自定义分类规则和标签映射
  5. 测试工作流执行
  6. 配置定时触发器(可选)

关键参数

参数名称 默认值 说明
maxEmails 50 单次处理的最大邮件数量
confidenceThreshold 0.8 分类置信度阈值
autoLabel true 是否自动添加标签

最佳实践

优化建议

  • 定期更新AI分类模型以提高准确性
  • 根据邮件量调整处理批次大小
  • 设置合理的分类置信度阈值
  • 定期清理过期的分类规则

安全注意事项

  • 妥善保管API密钥和认证信息
  • 限制工作流的访问权限
  • 定期审查处理日志
  • 启用双因素认证保护Gmail账户

性能优化

  • 使用增量处理减少重复工作
  • 缓存频繁访问的数据
  • 并行处理多个邮件分类任务
  • 监控系统资源使用情况

故障排除

常见问题

邮件未被正确分类

检查AI分类器的置信度阈值设置,适当降低阈值或更新训练数据。

Gmail认证失败

确认Google API凭证有效且具有正确的权限范围,重新进行OAuth授权。

调试技巧

  • 启用详细日志记录查看每个步骤的执行情况
  • 使用测试邮件验证分类逻辑
  • 检查网络连接和API服务状态
  • 逐步执行工作流定位问题节点

错误处理

工作流包含以下错误处理机制:

  • 网络超时自动重试(最多3次)
  • API错误记录和告警
  • 处理失败邮件的隔离机制
  • 异常情况下的回滚操作