{
  "workflow": {
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    "name": "YouTube transcription & translation to Google Docs with Gemini AI",
    "views": 1466,
    "recentViews": 1,
    "totalViews": 1466,
    "createdAt": "2025-08-11T11:20:15.924Z",
    "description": "## YouTube Transcription, Summarization & Translation to Google Docs\n\nThis workflow automates the end-to-end process of converting YouTube videos into structured, multilingual written content. It transcribes the video's speech, optionally summarizes it, translates it into the chosen language and stores the result in a well-formatted Google Doc—ready for review, sharing or publication.\n\n## Who’s It For\n\n* Content creators and bloggers repurposing video content.\n* Educators and researchers converting lectures into readable notes.\n* Marketing teams localizing video material for international audiences.\n* Students summarizing and translating study material.\n* YouTube viewers who want written notes or blog-ready formats.\n\n\n## How It Works\n\n1. A **Webhook** triggers the flow with inputs: `youtube_url`, `language` and `enable_summary`.\n2. A **Code** node formats these inputs into `videoId`, `originalUrl`, `language` and `enable_summary`.\n3. An **HTTP Request** node sends the video to Supadata API for full transcription.\n4. Another **Code** node combines all transcript segments into one body of text.\n5. The **Basic LLM Chain** node uses the **Google Gemini Chat Model** to summarize and translate the transcript if requested.\n6. A **Google Docs** node creates a new document with a title based on `videoId` and `language`.\n7. A final **Google Docs** node appends the processed summary and translation into the created document.\n\n\n## How to Set Up\n\n1. **Webhook Input:** Send a POST request with three fields: `youtube_url`, `language`, `enable_summary`.\n2. **Configure Supadata API:** Add the HTTP URL and Authorization Header for transcription.\n3. **Set up Gemini Chat Model:** Use Google Vertex AI/Gemini integration in the Basic LLM Chain node.\n4. **Create Google Docs Credentials:** Connect your Google account using OAuth2.\n5. **Document Naming Logic:** You may adjust document titles using expressions (e.g., `{{ videoId }} - {{ language }}`).\n\n\n\n## Requirements\n\n* Supadata API key (or any video-to-text API).\n* Google account with Google Docs access.\n* Google Gemini access via n8n’s LLM integration.\n* n8n Cloud or self-hosted instance.\n* Basic understanding of webhook setup (or a form frontend).\n\n\n## How to Customize\n\n* **Change LLM model:** Swap Gemini with GPT-4 or Claude in the LLM Chain node.\n* **Summarization toggle:** Use the `enable_summary` flag to control verbosity.\n* **Document layout:** Customize headings, font styles and content sections in Google Docs.\n* **Multiple languages:** Extend the workflow to translate into multiple languages and generate one document per language.\n* **Sharing options:** Add Gmail or Slack nodes to notify users once the document is generated.\n\n\n## Add‑ons\n\n* **Notion Export:** Send the document summary directly into Notion using the Notion node.\n* **Slack Notification:** Notify your team with a link to the Google Doc using the Slack node.\n* **Google Sheets Logging:** Log video URLs, timestamps, and language used for auditing.\n* **n8n Forms Integration:** Allow users to submit video URLs and language via a hosted n8n form.\n\n\n## **Use Case Examples**\n\n* **Repurposing Videos into Blogs:** Automatically convert YouTube podcasts into multilingual blog posts.\n* **Educational Notes:** Extract and translate lecture content into shareable study documents.\n* **International Marketing Teams:** Summarize and localize product explainer videos for different countries.\n* **Transcription Library:** Create a searchable database of translated transcripts from niche educational YouTube channels.\n\n\n## Common Troubleshooting\n\n| **Issue**                       | **Possible Cause**                         | **Solution**                                               |\n| ------------------------------- | ------------------------------------------ | ---------------------------------------------------------- |\n| Webhook not triggering          | Incorrect webhook URL or POST format       | Double-check payload and content-type (application/json)   |\n| Transcription API fails         | Invalid video ID or API key                | Validate YouTube URL and Supadata API access               |\n| Empty translation/summarization | Transcript was empty or prompt was weak    | Ensure the video contains spoken content and refine prompt |\n| Google Doc not created          | OAuth2 credentials not authorized properly | Reconnect Google Docs credentials in n8n                   |\n| Gemini LLM Chain fails          | Model misconfigured or request malformed   | Verify your model selection and payload structure          |\n\n## Need Help?\n\nNeed help getting this set up or customizing it for your workflow?\n\n✅ We can help you:\n\n* Set up transcription and translation APIs\n* Modify the summarization prompt\n* Customize document layouts or automate sharing\n\n👉 [Contact WeblineIndia's automation experts !](https://www.weblineindia.com/hire-n8n-developers/)",
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            "content": "## YouTube Transcription, Summarization & Translation to Google Docs"
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            "text": "=This is a transcription that needs processing.\n\nPlease do the following:\n\n1. Generate a complete and accurate translation of the transcript into the specified language.\n2. Generate a concise and clear summary of the transcript’s key points in the same language.\n\nTarget Language:\n{{ $('Combine Transcription Content').item.json.language }}\n\nTranscript:\n{{ $('Combine Transcription Content').item.json.mergedTranscript }}\n\nOutput Format:\nPlease return the result strictly in this JSON structure, with both values written in the target language:\n\n{\n  \"translation\": \"Full translated version of the transcript in the specified language.\",\n  \"summary\": \"Clear and concise summary of the transcript in the same language.\"\n}\n\nMake sure:\n- Both \"translation\" and \"summary\" keys are present.\n- The summary should not be skipped or embedded inside the translation.\n- Do NOT include markdown formatting (no triple backticks or code blocks).\n- Output must be valid JSON only.\n",
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            "jsCode": "// Get the transcript JSON array from previous node\nconst data = $json[\"content\"];\n\n// Merge all text entries into a single string\nconst mergedText = data.map(entry => entry.text).join(\" \");\n\nreturn [\n  {\n    json: {\n      mergedTranscript: mergedText\n    }\n  }\n];\n"
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            "options": {},
            "sendQuery": true,
            "sendHeaders": true,
            "queryParameters": {
              "parameters": [
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                  "name": "videoId",
                  "value": "={{ $json.videoId }}"
                }
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                  "value": ""
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            "jsCode": "const url = $json[\"body\"][\"youtube_url\"];\nconst match = url.match(/(?:v=|\\/)([0-9A-Za-z_-]{11})/);\nconst videoId = match ? match[1] : null;\n\nreturn [\n  {\n    json: {\n      videoId,\n      language: $json[\"body\"][\"language\"],\n      enable_summary: $json[\"body\"][\"enable_summary\"],\n      originalUrl: url\n    }\n  }\n];\n"
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            "content": "# **Node Breakdown & Descriptions:**\n\n### * The workflow starts with a **Webhook** node named **\"Trigger YouTube Processing Request\"**, which activates when an HTTP POST request is made with three parameters: `youtube_url`, `language`, and `enable_summary`. This initiates the transcription and translation process.\n\n### * The next node, named **\"Format Webhook Input\"**, is a Code node that extracts and reformats the incoming data. It converts the input into a structured object containing `videoId`, `originalUrl`, `language`, and `enable_summary`.\n\n### * The **HTTP Request** node named **\"Transcribe YouTube Video\"** sends the `videoId` to Supadata’s API to fetch the full transcription of the provided YouTube video in the source language.\n\n### * The **Code1** node named **\"Combine Transcription Content\"** takes the segmented transcription output and merges it into one coherent string. This prepares the transcription for processing by the language model.\n\n### * The **Basic LLM Chain** node named **\"Summarize and Translate Text\"** passes the merged transcript to the **Google Gemini Chat Model** to summarize and translate the text based on the selected `language` and `enable_summary` flag.\n\n### * The **Google Docs** node named **\"Create Output Document\"** creates a new Google Doc using a title derived from the `videoId` and selected `language`. It initializes the file where the final content will be stored.\n\n### * Finally, the **Google Docs** node named **\"Append Summary and Translation\"** updates the newly created Google Doc by inserting the translated and summarized content into the document body, completing the workflow."
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        "group": "[\"trigger\"]",
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            "name": "Development"
          },
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            "name": "Core Nodes"
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        ]
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        "id": 1123,
        "icon": "fa:link",
        "name": "@n8n/n8n-nodes-langchain.chainLlm",
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                }
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            "subcategories": {
              "AI": [
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                "Root Nodes"
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            }
          }
        },
        "group": "[\"transform\"]",
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          "color": "#909298"
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          "type": "icon"
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                "Root Nodes"
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              "Language Models": [
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              ]
            }
          }
        },
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        "defaults": {
          "name": "Google Gemini Chat Model"
        },
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}