Automatisation de la traduction chinois-anglais dans Google Slides avec Openrouter AI

Name: Automatisation de la traduction chinois-anglais dans Google Slides avec Openrouter AI
Rating: 4.5 (10 reviews)
Author: Sebastian/OptiLever

Intermédiaire

Ceci est unDocument Extraction, Multimodal AIworkflow d'automatisation du domainecontenant 13 nœuds.Utilise principalement des nœuds comme Code, Wait, SplitOut, GoogleDrive, GoogleSlides. Automatisation de la traduction chinois-anglais dans Google Slides avec Openrouter AI

Prérequis

•Informations d'identification Google Drive API

Nœuds utilisés (13)

Catégorie

Extraction de documents

IA Multimodale

Aperçu du workflow

Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement

Lors du clic sur 'Exécuter le workflow'

Google Slides2

Google Drive

Agent IA

Remplacer le texte

Code

Split Out

Loop Over Items

Wait

OpenRouter Chat Model

React Flow

Exporter le workflow

Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow

{
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    "templateCredsSetupCompleted": true
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  "nodes": [
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      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "c8e3363c-0ebe-47ce-a6d4-4479d6d8d5fe",
      "name": "Google Slides2",
      "type": "n8n-nodes-base.googleSlides",
      "position": [
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        0
      ],
      "parameters": {},
      "typeVersion": 2
    },
    {
      "id": "b678b5f2-44d1-42f1-aba0-20874d5f4c7e",
      "name": "Google Drive",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
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      "parameters": {},
      "typeVersion": 3
    },
    {
      "id": "b5e03624-4612-4b57-aa46-0b256e2ae6d4",
      "name": "Agent IA",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
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      "parameters": {},
      "typeVersion": 2
    },
    {
      "id": "f10545ae-a90e-4785-a23f-329cf9852244",
      "name": "Remplacer le texte",
      "type": "n8n-nodes-base.googleSlidesTool",
      "position": [
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        224
      ],
      "parameters": {},
      "typeVersion": 2
    },
    {
      "id": "53a76aec-2fe4-4053-aa51-8df5ec7b7893",
      "name": "Code",
      "type": "n8n-nodes-base.code",
      "position": [
        720,
        0
      ],
      "parameters": {},
      "typeVersion": 2
    },
    {
      "id": "65df03c7-e1ab-4fe7-9f1b-5b10d20ad38a",
      "name": "Split Out",
      "type": "n8n-nodes-base.splitOut",
      "position": [
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        0
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "cf86901f-a85e-4ded-a037-168907aae855",
      "name": "Loop Over Items",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
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      "parameters": {},
      "typeVersion": 3
    },
    {
      "id": "20b3d2c0-c03d-4a36-b4b7-fa0e4f3761f1",
      "name": "Wait",
      "type": "n8n-nodes-base.wait",
      "position": [
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        208
      ],
      "webhookId": "f5bd7595-80b0-453e-85d2-6560dfcb404e",
      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "b7f6b0ef-e98e-42c1-9fcb-2c15e880917c",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -640,
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      "parameters": {
        "content": ""
      },
      "typeVersion": 1
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    {
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      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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        -304
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "68382c2b-c1c5-4721-a464-cb22916f4ef7",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1328,
        -304
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "e3f23049-2455-489e-a6fb-1da305a3b08e",
      "name": "OpenRouter Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
      "position": [
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        224
      ],
      "parameters": {},
      "typeVersion": 1
    }
  ],
  "pinData": {},
  "connections": {
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    "20b3d2c0-c03d-4a36-b4b7-fa0e4f3761f1": {
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    },
    "b5e03624-4612-4b57-aa46-0b256e2ae6d4": {
      "main": [
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            "type": "main",
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    "65df03c7-e1ab-4fe7-9f1b-5b10d20ad38a": {
      "main": [
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    "b678b5f2-44d1-42f1-aba0-20874d5f4c7e": {
      "main": [
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            "type": "main",
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    },
    "f10545ae-a90e-4785-a23f-329cf9852244": {
      "ai_tool": [
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            "type": "ai_tool",
            "index": 0
          }
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    "c8e3363c-0ebe-47ce-a6d4-4479d6d8d5fe": {
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      "main": [
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    "e3f23049-2455-489e-a6fb-1da305a3b08e": {
      "ai_languageModel": [
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            "type": "ai_languageModel",
            "index": 0
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        ]
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    },
    "ef5c4414-8a7d-40fb-9c5b-40b634dc0051": {
      "main": [
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            "type": "main",
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        ]
      ]
    }
  }
}

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.