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图像读取器

中级

这是一个Personal Productivity, Multimodal AI领域的自动化工作流，包含 8 个节点。主要使用 Set, Telegram, HttpRequest, Agent, ExtractFromFile 等节点。 通过Telegram机器人和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
  • •Google Gemini API Key

使用的节点 (8)

Set
Telegram
HttpRequest
Agent
ExtractFromFile
TelegramTrigger
LmChatGoogleGemini

分类

个人效率
多模态 AI
工作流预览
可视化展示节点连接关系，支持缩放和平移
React Flow
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": "M4IIL41O16twgImq",
  "meta": {
    "instanceId": "51be389492931e958da1ec3c4cc03c8044ac06dd89d9465126f3cdb442363742",
    "templateCredsSetupCompleted": true
  },
  "name": "图像读取器",
  "tags": [],
  "nodes": [
    {
      "id": "a5d05f82-eb64-4abb-82d8-c2365fea90e8",
      "name": "Telegram 触发器",
      "type": "n8n-nodes-base.telegramTrigger",
      "position": [
        -400,
        -140
      ],
      "webhookId": "b957dd8b-8f10-40e9-a041-56b3f7a176b9",
      "parameters": {
        "updates": [
          "message"
        ],
        "additionalFields": {}
      },
      "credentials": {
        "telegramApi": {
          "id": "coZ5n0FecDwDueBA",
          "name": "Ruri Image Reader"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "9c8d3318-b6f8-4fe5-8d19-10388087beb7",
      "name": "清理输入数据",
      "type": "n8n-nodes-base.set",
      "position": [
        -180,
        -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": "e2b58308-238e-4439-9f1a-4d08b6c6fed0",
      "name": "OCR",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        480,
        -140
      ],
      "parameters": {
        "url": "#",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "image",
              "value": "={{ $json.data }}"
            }
          ]
        }
      },
      "notesInFlow": true,
      "typeVersion": 4.2
    },
    {
      "id": "ffb53d49-3a5f-4a65-95bd-0788f5005fc7",
      "name": "获取文件",
      "type": "n8n-nodes-base.telegram",
      "position": [
        40,
        -140
      ],
      "webhookId": "089cb9a3-a383-4e1d-b732-b877833ef538",
      "parameters": {
        "fileId": "={{ $json.Image.replace(/\\n/g, '') }}",
        "resource": "file"
      },
      "credentials": {
        "telegramApi": {
          "id": "coZ5n0FecDwDueBA",
          "name": "Ruri Image Reader"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "80dc7a76-dc50-4f9f-8396-9f068fdec7a1",
      "name": "转换为 base64",
      "type": "n8n-nodes-base.extractFromFile",
      "position": [
        260,
        -140
      ],
      "parameters": {
        "options": {},
        "operation": "binaryToPropery"
      },
      "typeVersion": 1
    },
    {
      "id": "e77fb512-c83c-4d18-9ded-13c02abfef45",
      "name": "Telegram",
      "type": "n8n-nodes-base.telegram",
      "position": [
        1076,
        -140
      ],
      "webhookId": "1c599e35-fb24-4cae-9177-61fa09e0b5ca",
      "parameters": {
        "text": "={{ $json.output }}",
        "chatId": "={{ $('Clean Input Data').item.json.chatID }}",
        "additionalFields": {
          "appendAttribution": false
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "coZ5n0FecDwDueBA",
          "name": "Ruri Image Reader"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "5badb159-c0e8-4129-8387-409541cdcc20",
      "name": "AI 代理",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        700,
        -140
      ],
      "parameters": {
        "text": "={{ $json.text }}",
        "options": {
          "systemMessage": "You are an AI assistant designed to enhance the clarity of text extracted from images using OCR.\n\nYour primary objective is to make the OCR output easy to read and understand for end users by cleaning up formatting, fixing any recognition errors, and restructuring the content logically.\n\n🧠 Behavior Guidelines:\nIf the extracted text resembles a table or structured data, do not recreate the table. Instead, summarize the content into bullet points for better readability.\n\nFocus on clarity, accuracy, and user-friendly formatting.\n\nFix common OCR issues such as:\n\nBroken words or lines\n\nIncorrect character recognition (e.g., \"0\" vs \"O\", \"1\" vs \"I\")\n\nMisplaced symbols or formatting errors"
        },
        "promptType": "define"
      },
      "typeVersion": 2
    },
    {
      "id": "76959791-ff08-4f0f-94c1-55b6f6807a00",
      "name": "Google Gemini 聊天模型",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        788,
        80
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "fyhkQ6QL2SEoobiQ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    }
  ],
  "active": true,
  "pinData": {
    "Telegram Trigger": [
      {
        "json": {
          "message": {
            "chat": {
              "id": 1335515855,
              "type": "private",
              "username": "VextCode",
              "first_name": "Vext"
            },
            "date": 1751041672,
            "from": {
              "id": 1335515855,
              "is_bot": false,
              "username": "VextCode",
              "first_name": "Vext",
              "language_code": "en"
            },
            "photo": [
              {
                "width": 90,
                "height": 39,
                "file_id": "AgACAgUAAxkBAAMOaF7GiHkZdpULOrfUb-SAge6yRHcAAq_LMRubo_BWUWlWZpaHvCIBAAMCAANzAAM2BA",
                "file_size": 1131,
                "file_unique_id": "AQADr8sxG5uj8FZ4"
              },
              {
                "width": 320,
                "height": 137,
                "file_id": "AgACAgUAAxkBAAMOaF7GiHkZdpULOrfUb-SAge6yRHcAAq_LMRubo_BWUWlWZpaHvCIBAAMCAANtAAM2BA",
                "file_size": 14625,
                "file_unique_id": "AQADr8sxG5uj8FZy"
              },
              {
                "width": 800,
                "height": 342,
                "file_id": "AgACAgUAAxkBAAMOaF7GiHkZdpULOrfUb-SAge6yRHcAAq_LMRubo_BWUWlWZpaHvCIBAAMCAAN4AAM2BA",
                "file_size": 60871,
                "file_unique_id": "AQADr8sxG5uj8FZ9"
              },
              {
                "width": 1095,
                "height": 468,
                "file_id": "AgACAgUAAxkBAAMOaF7GiHkZdpULOrfUb-SAge6yRHcAAq_LMRubo_BWUWlWZpaHvCIBAAMCAAN5AAM2BA",
                "file_size": 90710,
                "file_unique_id": "AQADr8sxG5uj8FZ-"
              }
            ],
            "message_id": 14
          },
          "update_id": 413913333
        }
      }
    ]
  },
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "a78997d0-05cb-4278-8be3-7348cfa1eefa",
  "connections": {
    "OCR": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "AI Agent": {
      "main": [
        [
          {
            "node": "Telegram",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "get file": {
      "main": [
        [
          {
            "node": "Convert to base64",
            "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
          }
        ]
      ]
    },
    "Convert to base64": {
      "main": [
        [
          {
            "node": "OCR",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "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 - 个人效率, 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。

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难度等级
中级
节点数量8
分类2
节点类型7
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

作者
Rudi Afandi

Rudi Afandi

@fanfanra
外部链接
在 n8n.io 查看 →

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