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图像阅读器 Gemini OCR

中级

这是一个Document Extraction, Multimodal AI领域的自动化工作流,包含 8 个节点。主要使用 Set, Telegram, HttpRequest, ExtractFromFile, TelegramTrigger 等节点。 通过Telegram机器人和Gemini 2.0 Flash OCR从图像中提取文本

前置要求
  • Telegram Bot Token
  • 可能需要目标 API 的认证凭证
工作流预览
可视化展示节点连接关系,支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入,即可使用此工作流
{
  "id": "XqNsiUSOpgO7PRPD",
  "meta": {
    "instanceId": "51be389492931e958da1ec3c4cc03c8044ac06dd89d9465126f3cdb442363742",
    "templateCredsSetupCompleted": true
  },
  "name": "图像阅读器 Gemini OCR",
  "tags": [],
  "nodes": [
    {
      "id": "fa672106-597a-43d6-b3c8-d7d73e9ad499",
      "name": "Telegram 触发器",
      "type": "n8n-nodes-base.telegramTrigger",
      "position": [
        -360,
        -140
      ],
      "webhookId": "9b8e55dc-1389-435a-95b3-030d7e30ebce",
      "parameters": {
        "updates": [
          "message"
        ],
        "additionalFields": {
          "download": true
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "coZ5n0FecDwDueBA",
          "name": "@RuriImageReader_bot"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "552d5953-2b1e-48ff-a39b-112cae330f32",
      "name": "清理输入数据",
      "type": "n8n-nodes-base.set",
      "position": [
        -140,
        -140
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "c8cd1608-2326-401d-9c47-79a6a72f5fc7",
              "name": "chatID",
              "type": "number",
              "value": "={{ $json.message.chat.id }}"
            },
            {
              "id": "0f1a41cb-8630-4e10-b445-f6bbbcf91d33",
              "name": "Image",
              "type": "string",
              "value": "={{ $json[\"message\"][\"photo\"][$json[\"message\"][\"photo\"].length - 1][\"file_id\"] }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "4127fe82-7700-4292-b4fc-6fc27aa9e27c",
      "name": "获取文件",
      "type": "n8n-nodes-base.telegram",
      "position": [
        80,
        -140
      ],
      "webhookId": "b812a0c8-e5f5-4969-9fad-a7b5b6e72dd9",
      "parameters": {
        "fileId": "={{ $json.Image.replace(/\\n/g, '') }}",
        "resource": "file"
      },
      "credentials": {
        "telegramApi": {
          "id": "coZ5n0FecDwDueBA",
          "name": "@RuriImageReader_bot"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "cdee68db-f387-48d6-8b1c-2f1de0fbefea",
      "name": "Telegram",
      "type": "n8n-nodes-base.telegram",
      "position": [
        80,
        120
      ],
      "webhookId": "8219e2f1-2393-40ee-9c84-88666b10d946",
      "parameters": {
        "text": "={{ $json.output }}",
        "chatId": "={{ $('Clean Input Data').item.json.chatID }}",
        "additionalFields": {
          "appendAttribution": false
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "coZ5n0FecDwDueBA",
          "name": "@RuriImageReader_bot"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "d9ef5251-9fb1-4810-aa78-4a393f4355e7",
      "name": "便签1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -440,
        -200
      ],
      "parameters": {
        "color": 4,
        "width": 920,
        "height": 620,
        "content": "## 图像阅读器"
      },
      "typeVersion": 1
    },
    {
      "id": "ecb87468-671d-484c-9baf-01d40e6f5de6",
      "name": "Gemini OCR",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -360,
        120
      ],
      "parameters": {
        "url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"contents\": [\n    {\n      \"role\": \"user\",\n      \"parts\": [\n        {\n          \"inlineData\": {\n            \"mimeType\": \"image/jpeg\",\n            \"data\": \"{{ $json.data }}\"\n          }\n        },\n        {\n          \"text\": \"Extract text\"\n        }\n      ]\n    }\n  ]\n}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpQueryAuth"
      },
      "credentials": {
        "httpQueryAuth": {
          "id": "wcX4Li4YomZJHh1s",
          "name": "Gemini API"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "2990b76a-536e-48b4-8202-21b82ead2ef1",
      "name": "从文件提取",
      "type": "n8n-nodes-base.extractFromFile",
      "position": [
        320,
        -140
      ],
      "parameters": {
        "options": {},
        "operation": "binaryToPropery"
      },
      "typeVersion": 1
    },
    {
      "id": "71b92a9e-8393-4f00-a99d-123ea4f3ed19",
      "name": "便签",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -700,
        -200
      ],
      "parameters": {
        "height": 1060,
        "content": "## HTTP Gemini OCR 设置"
      },
      "typeVersion": 1
    }
  ],
  "active": true,
  "pinData": {
    "Telegram Trigger": [
      {
        "json": {
          "message": {
            "chat": {
              "id": 1335515855,
              "type": "private",
              "username": "VextCode",
              "first_name": "Vext"
            },
            "date": 1752202117,
            "from": {
              "id": 1335515855,
              "is_bot": false,
              "username": "VextCode",
              "first_name": "Vext",
              "language_code": "en"
            },
            "photo": [
              {
                "width": 90,
                "height": 47,
                "file_id": "AgACAgUAAxkBAAN9aHB7hU8nKT7coClCdMyelOTFy-sAAsPKMRvnqolXYKE3ScdP6HABAAMCAANzAAM2BA",
                "file_size": 1128,
                "file_unique_id": "AQADw8oxG-eqiVd4"
              },
              {
                "width": 320,
                "height": 168,
                "file_id": "AgACAgUAAxkBAAN9aHB7hU8nKT7coClCdMyelOTFy-sAAsPKMRvnqolXYKE3ScdP6HABAAMCAANtAAM2BA",
                "file_size": 18516,
                "file_unique_id": "AQADw8oxG-eqiVdy"
              },
              {
                "width": 800,
                "height": 420,
                "file_id": "AgACAgUAAxkBAAN9aHB7hU8nKT7coClCdMyelOTFy-sAAsPKMRvnqolXYKE3ScdP6HABAAMCAAN4AAM2BA",
                "file_size": 73842,
                "file_unique_id": "AQADw8oxG-eqiVd9"
              },
              {
                "width": 1200,
                "height": 630,
                "file_id": "AgACAgUAAxkBAAN9aHB7hU8nKT7coClCdMyelOTFy-sAAsPKMRvnqolXYKE3ScdP6HABAAMCAAN5AAM2BA",
                "file_size": 86132,
                "file_unique_id": "AQADw8oxG-eqiVd-"
              }
            ],
            "message_id": 125
          },
          "update_id": 413913388
        }
      }
    ]
  },
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "c571dd01-5b7e-4ee1-88d1-d33abb86e78b",
  "connections": {
    "get file": {
      "main": [
        [
          {
            "node": "Extract from File",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Gemini OCR": {
      "main": [
        [
          {
            "node": "Telegram",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Clean Input Data": {
      "main": [
        [
          {
            "node": "get file",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Telegram Trigger": {
      "main": [
        [
          {
            "node": "Clean Input Data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Extract from File": {
      "main": [
        [
          {
            "node": "Gemini OCR",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
常见问题

如何使用这个工作流?

复制上方的 JSON 配置代码,在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」,粘贴配置后根据需要修改凭证设置即可。

这个工作流适合什么场景?

中级 - 文档提取, 多模态 AI

需要付费吗?

本工作流完全免费,您可以直接导入使用。但请注意,工作流中使用的第三方服务(如 OpenAI API)可能需要您自行付费。

工作流信息
难度等级
中级
节点数量8
分类2
节点类型6
难度说明

适合有一定经验的用户,包含 6-15 个节点的中等复杂度工作流

外部链接
在 n8n.io 查看

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