{ "workflow": { "id": 5866, "name": "Summarize YouTube transcripts in any language with Google Gemini & Google Docs", "views": 1908, "recentViews": 1, "totalViews": 1908, "createdAt": "2025-07-11T04:43:42.519Z", "description": "### **YouTube Transcript Summarization in Any Language for Social Media**\n\nThis n8n workflow automates the process of:\n\n1. **Retrieving YouTube Video Transcripts:** \n It fetches the transcript for any YouTube video URL provided using the **[YouTube Transcript API](https://rapidapi.com/skdeveloper/api/youtube-transcriptor-pro)** from **RapidAPI**.\n\n2. **Generating a Concise Summary in Any Language:** \n The workflow uses **Google Gemini (PaLM)** to create a concise summary of the transcript in the language specified by the user (e.g., English, Spanish, etc.).\n\n3. **Storing the Summary in Google Docs:** \n The generated summary is inserted into a predefined **Google Document**, making it easy for users to share or edit.\n\n### **Features:**\n- **Language Flexibility:** Summaries are created in the desired language.\n- **Fully Automated:** From fetching the transcript to updating Google Docs, the process is fully automated.\n- **Social Media Ready:** The summary is formatted and stored in a Google Doc, ready for use in social media posts.\n\nThis workflow integrates with **[YouTube Transcript API](https://rapidapi.com/skdeveloper/api/youtube-transcriptor-pro)** via **RapidAPI**, allowing you to easily fetch video transcripts and summarize them with AI. The entire process is automated and seamless.\n\n### **Powered by RapidAPI:**\n- **API Used:** [YouTube Transcript API](https://rapidapi.com/skdeveloper/api/youtube-transcriptor-pro) via **RapidAPI** to get the transcript data.\n\n---\n\n### **Benefits:**\n- **Saves Time:** Automates the transcript summarization process, eliminating the need for manual content extraction and summarization.\n- **Customizable Language Support:** Provides summaries in any language, enabling accessibility and engagement for a global audience.\n- **Streamlined Content Creation:** Automatically generates concise, engaging summaries that are ready for social media use.\n- **Google Docs Integration:** Saves summaries directly into a Google Doc for easy sharing, editing, and content management.\n\n---\n\n### **Challenges Addressed:**\n- **Manual Transcript Extraction:** \n **Problem:** Manually transcribing and summarizing YouTube videos for social media can be time-consuming and error-prone. \n **Solution:** This workflow fully automates the process, saving hours of manual work using the **[YouTube Transcript API](https://rapidapi.com/skdeveloper/api/youtube-transcriptor-pro)**.\n\n- **Lack of Language Support in Summaries:** \n **Problem:** Many automated tools only summarize content in a single language, limiting their accessibility. \n **Solution:** With language flexibility, the workflow creates summaries in the language of your choice, helping you cater to diverse audiences.\n\n- **Inconsistent Video Quality & Transcript Accuracy:** \n **Problem:** Not all YouTube videos have well-structured or accurate transcripts, leading to incomplete or inaccurate summaries. \n **Solution:** The workflow can process and format even imperfect transcripts, ensuring that the generated summaries are still accurate and useful.\n\n- **Managing Content Across Platforms:** \n **Problem:** Transcripts and summaries often need to be stored in multiple locations for social media posts, which can be cumbersome. \n **Solution:** The workflow integrates with Google Docs to automatically store and manage summaries in one place, making it easier to share and reuse content.\n\n---\n", "workflow": { "id": "e9QKXG6OxvBeE8MA", "meta": { "instanceId": "e634e668fe1fc93a75c4f2a7fc0dad807ca318b79654157eadb9578496acbc76", "templateCredsSetupCompleted": true }, "name": "My workflownn", "tags": [], "nodes": [ { "id": "98d6c238-8ab3-4814-8b95-cc9e201e9e0a", "name": "On form submission", "type": "n8n-nodes-base.formTrigger", "position": [ 0, 0 ], "webhookId": "10986afd-5943-4e72-9078-074e5191d7ac", "parameters": { "options": {}, "formTitle": "summarize youtube videos from transcript for social media", "formFields": { "values": [ { "fieldLabel": "videoUrl", "placeholder": "full video url", "requiredField": true }, { "fieldLabel": "language", "placeholder": "English", "requiredField": true } ] } }, "typeVersion": 2.2 }, { "id": "d9076f8d-d9cd-47da-832c-2ed605675779", "name": "Google Gemini Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "position": [ 2540, 460 ], "parameters": { "options": {}, "modelName": "models/gemini-2.0-flash" }, "credentials": { "googlePalmApi": { "id": "credential-id", "name": "googlePalmApi Credential" } }, "typeVersion": 1 }, { "id": "2f2e8e76-6666-441a-854f-0d108a8f26d1", "name": "Google Docs", "type": "n8n-nodes-base.googleDocs", "position": [ 3460, -140 ], "parameters": { "actionsUi": { "actionFields": [ { "text": "={{ $json.summary }}", "action": "insert" } ] }, "operation": "update", "documentURL": "", "authentication": "serviceAccount" }, "credentials": { "googleApi": { "id": "credential-id", "name": "googleApi Credential" } }, "typeVersion": 2 }, { "id": "ab9dd3f4-f2aa-4d9f-aef7-72420a1e53f8", "name": "Mapper", "type": "n8n-nodes-base.set", "position": [ 420, 0 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "a2486ac7-c29c-419e-9cfc-753701723510", "name": "videoUrl", "type": "string", "value": "={{ $json.videoUrl }}" }, { "id": "8032743b-0266-488b-83f3-d0a42f35c1e0", "name": "language", "type": "string", "value": "={{ $json.language }}" } ] } }, "typeVersion": 3.4 }, { "id": "ca6d25dd-0950-4ef2-9b2d-2f105d72fb35", "name": "Formator", "type": "n8n-nodes-base.code", "position": [ 1580, 20 ], "parameters": { "jsCode": "const rawArray = $input.first().json.data;\n\nconsole.log(\"Raw Array Data:\", rawArray); // Log the raw input data\n\n// Step 1: Parse the outer JSON to access the inner data\nlet parsedData;\ntry {\n parsedData = JSON.parse(rawArray);\n console.log(\"Parsed Data:\", parsedData); // Log the parsed data\n} catch (e) {\n console.log(\"Error Parsing Outer Data:\", e);\n return [{\n json: {\n chatInput: \"Failed to parse outer JSON data.\"\n }\n }];\n}\n\n// Step 2: Extract the actual transcript data from the 'data' field\nconst innerData = parsedData.data;\n\n// Step 3: Decode Unicode characters in the string\nconst decodedData = decodeURIComponent(innerData.replace(/\\\\u([0-9A-Fa-f]{4})/g, (match, p1) => {\n return String.fromCharCode(parseInt(p1, 16));\n}));\n\nconsole.log(\"Decoded Data:\", decodedData); // Log the decoded data\n\n// Step 4: Check if the decoded data is a valid transcript\nif (!decodedData || decodedData.trim() === \"\") {\n console.log(\"Invalid or empty transcript data.\");\n return [{\n json: {\n chatInput: \"No valid transcript found.\"\n }\n }];\n}\n\n// Step 5: Return the final transcript text\nreturn [{\n json: {\n chatInput: decodedData\n }\n}];\n" }, "typeVersion": 2 }, { "id": "7cf36479-c6a8-4763-b691-72d5c03a60f8", "name": "Optimizer", "type": "n8n-nodes-base.code", "position": [ 2860, -80 ], "parameters": { "jsCode": "const inputText = $input.first().json.output;\n\nfunction getFieldValue(text, field) {\n // Updated to stop at \"---\" or end of string, instead of a non-whitespace line\n const regex = new RegExp(`${field}:\\\\s*([\\\\s\\\\S]*?)(?=\\\\n---|$)`, 'i');\n const match = text.match(regex);\n return match ? match[1].trim() : '';\n}\n\nconst summary = getFieldValue(inputText, '🎬 \\\\*\\\\*Summary\\\\*\\\\*');\n\nreturn [{\n json: {\n summary\n }\n}];\n" }, "typeVersion": 2 }, { "id": "ac71fe03-898c-4cf3-9c98-f8b8f9e81346", "name": "AI Agent1", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 2300, -80 ], "parameters": { "options": { "systemMessage": "=You are a helpful assistant that summarizes YouTube video transcripts. Given a full transcript in {{ $('Mapper').item.json.language }}, summarize the main points, topics, and tone of the video in a concise and natural manner. The summary should be provided in the same language as the transcript. Format your response like this:\n\n---\n🎬 **Summary**: \n- [Main idea 1] \n- [Main idea 2] \n- [Optional tone, style, or genre] \n---\n " } }, "typeVersion": 1.7 }, { "id": "16681c25-5398-48f5-abf6-a02d7d4be8f2", "name": "YouTube Transcript AI", "type": "n8n-nodes-base.httpRequest", "position": [ 880, 40 ], "parameters": { "url": "https://youtube-transcriptor-pro.p.rapidapi.com/yt/index.php", "method": "POST", "options": {}, "sendBody": true, "contentType": "multipart-form-data", "sendHeaders": true, "bodyParameters": { "parameters": [ { "name": "=videoUrl", "value": "={{ $json.videoUrl }}" } ] }, "headerParameters": { "parameters": [ { "name": "x-rapidapi-host", "value": "youtube-transcriptor-pro.p.rapidapi.com" }, { "name": "x-rapidapi-key" } ] } }, "typeVersion": 4.2 }, { "id": "3de6995f-d44e-41fe-8cee-ef38e442023f", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -980, -680 ], "parameters": { "width": 700, "height": 1060, "content": "# **YouTube Transcript Summarization Workflow**\n\nThis n8n workflow automates the process of summarizing YouTube video transcripts. It retrieves a video's transcript, formats it, and generates a concise summary in the desired language, which is then stored in a Google Doc for easy sharing.\n\n---\n\n### **Workflow Steps:**\n\n1. **Form Submission (On form submission)** \n - Collects `videoUrl` (YouTube link) and `language` (desired summary language).\n\n2. **Mapping Data (Mapper)** \n - Assigns form data to variables (`videoUrl` and `language`).\n\n3. **Retrieve Transcript (YouTube Transcript AI)** \n - Calls the YouTube Transcript API via RapidAPI to fetch the video transcript.\n\n4. **Format Transcript (Formator)** \n - Decodes and formats the transcript data for further use.\n\n5. **Generate Summary (AI Agent1)** \n - Uses Google Gemini (PaLM model) to generate a summary in the specified language.\n\n6. **Extract and Optimize (Optimizer)** \n - Extracts the summary from the AI response.\n\n7. **Update Google Docs (Google Docs)** \n - Inserts the generated summary into a predefined Google Document.\n\n---\n\n### **Key Features:**\n- **Language Flexibility:** Generates summaries in the specified language.\n- **Automated Process:** From transcript retrieval to Google Docs update, everything is automated.\n" }, "typeVersion": 1 }, { "id": "4904624a-f8b2-49d4-8a57-51b35b9e4e0c", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -180, -280 ], "parameters": { "width": 380, "height": 440, "content": "#### 1. **Form Submission (On form submission)**\n- **Purpose:** \n This node collects the YouTube video URL and the desired language for the summary through a form submission.\n- **Details:**\n - **Inputs:**\n - `videoUrl`: Full URL of the YouTube video.\n - `language`: The language for the summary (e.g., English, Spanish, etc.).\n- **Outcome:** \n Passes the form data to the next node (`Mapper`) for further processing.\n" }, "typeVersion": 1 }, { "id": "be467ebe-553d-4b95-a56b-7ccf5a717b76", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 260, -280 ], "parameters": { "width": 360, "height": 440, "content": "#### 2. **Mapping Data (Mapper)**\n- **Purpose:** \n Maps the data from the form into variables, preparing them for the following nodes.\n- **Details:**\n - **Outputs:**\n - `videoUrl`: Assigned from the form.\n - `language`: Assigned from the form.\n- **Outcome:** \n Prepares and passes the form data to the **YouTube Transcript AI** node for API interaction.\n" }, "typeVersion": 1 }, { "id": "9e3ce6b1-e419-47e7-9e1b-d21789b384eb", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 640, -280 ], "parameters": { "width": 600, "height": 440, "content": "#### 3. **Retrieve Transcript (YouTube Transcript AI)**\n- **Purpose:** \n This node sends an API request to the **YouTube Transcript API** to fetch the transcript of the YouTube video provided.\n- **Details:**\n - **Inputs:** \n - `videoUrl`: The URL provided in the form.\n - **API Request:** \n - The node makes a `POST` request to `https://youtube-transcriptor-pro.p.rapidapi.com/yt/index.php`.\n - It sends the `videoUrl` in the request body.\n- **Outcome:** \n The API returns the raw transcript text, which will be passed to the next node for decoding and formatting.\n" }, "typeVersion": 1 }, { "id": "a3fb823e-9eb9-447b-b725-2f471294a64a", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ 1320, -260 ], "parameters": { "width": 620, "height": 400, "content": "#### 4. **Format Transcript (Formator)**\n- **Purpose:** \n This node processes and formats the transcript data retrieved from the API to ensure it is usable for the AI model.\n- **Details:**\n - **Operations:**\n - Decodes any Unicode characters from the transcript using JavaScript.\n - Checks if the transcript is empty or invalid.\n - **Outcome:** \n - If the transcript is valid, it is returned in a clean format to the next node.\n - If the transcript is invalid, a fallback message is returned instead." }, "typeVersion": 1 }, { "id": "a1f79939-cd91-4076-8bfe-7c7e40c49f3f", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 2240, -580 ], "parameters": { "width": 400, "height": 720, "content": "#### 5. **Generate Summary (AI Agent1)**\n- **Purpose:** \n This node uses the **Google Gemini (PaLM model)** to generate a summary from the cleaned transcript text in the specified language.\n- **Details:**\n - **Inputs:**\n - The formatted transcript from the **Formator** node.\n - The `language` variable from the form submission.\n - **Operations:**\n - The model processes the transcript and generates a summary, formatted according to the prompt that ensures the summary is concise and relevant.\n - **Outcome:** \n - The AI generates a concise summary in the specified language, which will be extracted in the next node.\n\n" }, "typeVersion": 1 }, { "id": "ac2d887f-2371-4bf1-a054-43df1bd0c090", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [ 2700, -580 ], "parameters": { "width": 360, "height": 700, "content": "#### 6. **Extract and Optimize (Optimizer)**\n- **Purpose:** \n This node extracts the relevant summary section from the AI response and optimizes it for output.\n- **Details:**\n - **Operations:**\n - Extracts the summary portion labeled `\"🎬 **Summary**\"` from the AI's response using a regular expression.\n - **Outcome:** \n - The clean, concise summary is extracted and prepared for insertion into Google Docs.\n\n" }, "typeVersion": 1 }, { "id": "cca97d98-4d02-4298-b053-7945ee149794", "name": "Sticky Note7", "type": "n8n-nodes-base.stickyNote", "position": [ 3260, -460 ], "parameters": { "width": 560, "height": 480, "content": "#### 7. **Update Google Docs (Google Docs)**\n- **Purpose:** \n This node inserts the final summary into a predefined **Google Document**.\n- **Details:**\n - **Inputs:** \n - The summary generated by the AI model.\n - **Operations:**\n - Uses Google Docs API to update the document specified by the `documentURL`.\n - The summary is inserted into the document, making it available for sharing or editing.\n- **Outcome:** \n The summary is now available in the Google Doc and can be accessed or shared as needed.\n" }, "typeVersion": 1 } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "fff226c0-4d72-46bc-93f5-4b284a89dee0", "connections": { "Mapper": { "main": [ [ { "node": "YouTube Transcript AI", "type": "main", "index": 0 } ] ] }, "Formator": { "main": [ [ { "node": "AI Agent1", "type": "main", "index": 0 } ] ] }, "AI Agent1": { "main": [ [ { "node": "Optimizer", "type": "main", "index": 0 } ] ] }, "Optimizer": { "main": [ [ { "node": "Google Docs", "type": "main", "index": 0 } ] ] }, "On form submission": { "main": [ [ { "node": "Mapper", "type": "main", "index": 0 } ] ] }, "YouTube Transcript AI": { "main": [ [ { "node": "Formator", "type": "main", "index": 0 } ] ] }, "Google Gemini Chat Model": { "ai_languageModel": [ [ { "node": "AI Agent1", "type": 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