Lecteur d'images Gemini OCR

Intermédiaire

Ceci est unDocument Extraction, Multimodal AIworkflow d'automatisation du domainecontenant 8 nœuds.Utilise principalement des nœuds comme Set, Telegram, HttpRequest, ExtractFromFile, TelegramTrigger. Extraire du texte d'images via un bot Telegram et Gemini 2.0 Flash OCR

Prérequis
  • Token Bot Telegram
  • Peut nécessiter les informations d'identification d'authentification de l'API cible
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
{
  "id": "XqNsiUSOpgO7PRPD",
  "meta": {
    "instanceId": "51be389492931e958da1ec3c4cc03c8044ac06dd89d9465126f3cdb442363742",
    "templateCredsSetupCompleted": true
  },
  "name": "Image Reader Gemini OCR",
  "tags": [],
  "nodes": [
    {
      "id": "fa672106-597a-43d6-b3c8-d7d73e9ad499",
      "name": "Telegram Trigger",
      "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": "Nettoyer les données d'entrée",
      "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": "Obtenir le fichier",
      "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": "Note adhésive1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -440,
        -200
      ],
      "parameters": {
        "color": 4,
        "width": 920,
        "height": 620,
        "content": "## Image Reader"
      },
      "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": "Extraire du fichier",
      "type": "n8n-nodes-base.extractFromFile",
      "position": [
        320,
        -140
      ],
      "parameters": {
        "options": {},
        "operation": "binaryToPropery"
      },
      "typeVersion": 1
    },
    {
      "id": "71b92a9e-8393-4f00-a99d-123ea4f3ed19",
      "name": "Note adhésive",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -700,
        -200
      ],
      "parameters": {
        "height": 1060,
        "content": "## HTTP Gemini OCR Setting\n\nDefine Gemini Model on URL\n\nhttps://generativelanguage.googleapis.com/v1beta/models/[Gemini Model]:generateContent\n\nexample:\nhttps://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent\n\n...\n\nAuthentication\nGeneric Credential Type\n\nGeneric Auth Type\nQuery Auth\n\nQuery Auth\n+ Create new credential (take if from https://aistudio.google.com/)\n\n...\n\nBody Content Type\nJSON\n\nSpecify Body\nUsing JSON\n\nJSON\n{\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}"
      },
      "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": {
    "4127fe82-7700-4292-b4fc-6fc27aa9e27c": {
      "main": [
        [
          {
            "node": "2990b76a-536e-48b4-8202-21b82ead2ef1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "ecb87468-671d-484c-9baf-01d40e6f5de6": {
      "main": [
        [
          {
            "node": "cdee68db-f387-48d6-8b1c-2f1de0fbefea",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "552d5953-2b1e-48ff-a39b-112cae330f32": {
      "main": [
        [
          {
            "node": "4127fe82-7700-4292-b4fc-6fc27aa9e27c",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "fa672106-597a-43d6-b3c8-d7d73e9ad499": {
      "main": [
        [
          {
            "node": "552d5953-2b1e-48ff-a39b-112cae330f32",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "2990b76a-536e-48b4-8202-21b82ead2ef1": {
      "main": [
        [
          {
            "node": "ecb87468-671d-484c-9baf-01d40e6f5de6",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
Foire aux questions

Comment utiliser ce workflow ?

Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.

Dans quelles scénarios ce workflow est-il adapté ?

Intermédiaire - Extraction de documents, IA Multimodale

Est-ce payant ?

Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.

Informations sur le workflow
Niveau de difficulté
Intermédiaire
Nombre de nœuds8
Catégorie2
Types de nœuds6
Description de la difficulté

Adapté aux utilisateurs expérimentés, avec des workflows de complexité moyenne contenant 6-15 nœuds

Liens externes
Voir sur n8n.io

Partager ce workflow

Catégories

Catégories: 34