Davide Boizza This workflow corresponds to n8n.io template #8755 — we link there as the canonical source.
This workflow follows the Execute Workflow Trigger → Gmail recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"id": "7igUJFLIXoP9aAKl",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "Transcribe and Analyze Meetings or Podcasts with ElevenLabs",
"tags": [],
"nodes": [
{
"id": "3636a64e-7b0e-4ee3-8837-d7ecb59a29a9",
"name": "When clicking \u2018Execute workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-576,
96
],
"parameters": {},
"typeVersion": 1
},
{
"id": "41fb00ed-9bd1-495a-935b-714d562ab539",
"name": "Loop Over Items",
"type": "n8n-nodes-base.splitInBatches",
"position": [
-144,
96
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "2fa6fdc5-3bd7-4e17-9f23-90c32c6989d6",
"name": "Call 'ElevenLabs Text-to-Speech'",
"type": "n8n-nodes-base.executeWorkflow",
"position": [
544,
336
],
"parameters": {
"mode": "each",
"options": {
"waitForSubWorkflow": true
},
"workflowId": {
"__rl": true,
"mode": "id",
"value": "7igUJFLIXoP9aAKl"
},
"workflowInputs": {
"value": {
"text": "={{ $('Speech-to-Text').item.json.text }}"
},
"schema": [
{
"id": "text",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "text",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"text"
],
"attemptToConvertTypes": true,
"convertFieldsToString": true
}
},
"typeVersion": 1.2
},
{
"id": "576849a8-b2ab-4b17-b96a-c912f027c709",
"name": "When Executed by Another Workflow",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
-544,
704
],
"parameters": {
"workflowInputs": {
"values": [
{
"name": "text"
}
]
}
},
"typeVersion": 1.1
},
{
"id": "0d9ec033-f75c-4ad4-9d70-fcfd9045e363",
"name": "Get audio urls",
"type": "n8n-nodes-base.googleSheets",
"position": [
-384,
96
],
"parameters": {
"options": {},
"filtersUI": {
"values": [
{
"lookupColumn": "DONE"
}
]
},
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1046e1OLfwiu1vfvnX_i2LP3yXOGL_87_BxyiXgkVmuU/edit#gid=0",
"cachedResultName": "Foglio1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1046e1OLfwiu1vfvnX_i2LP3yXOGL_87_BxyiXgkVmuU",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1046e1OLfwiu1vfvnX_i2LP3yXOGL_87_BxyiXgkVmuU/edit?usp=drivesdk",
"cachedResultName": "Elevenlabs Speech-to-Text"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 4.7
},
{
"id": "b486796d-9cb8-45ab-8a0a-7d6ba1af087b",
"name": "Speech-to-Text",
"type": "n8n-nodes-base.httpRequest",
"position": [
112,
112
],
"parameters": {
"url": "https://api.elevenlabs.io/v1/speech-to-text",
"method": "POST",
"options": {},
"sendBody": true,
"contentType": "form-urlencoded",
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "model_id",
"value": "scribe_v1"
},
{
"name": "cloud_storage_url",
"value": "={{ $json['AUDIO URL'] }}"
},
{
"name": "tag_audio_events",
"value": "true"
}
]
},
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "ac72a840-ce27-490c-ab7f-003b5ec3684a",
"name": "Update row",
"type": "n8n-nodes-base.googleSheets",
"position": [
112,
336
],
"parameters": {
"columns": {
"value": {
"DONE": "x",
"DOCS ID": "={{ $('Create Doc').item.json.id }}",
"row_number": "={{ $('Loop Over Items').item.json.row_number }}"
},
"schema": [
{
"id": "AUDIO URL",
"type": "string",
"display": true,
"required": false,
"displayName": "AUDIO URL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "DONE",
"type": "string",
"display": true,
"required": false,
"displayName": "DONE",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "DOCS ID",
"type": "string",
"display": true,
"required": false,
"displayName": "DOCS ID",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "row_number",
"type": "number",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "row_number",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"row_number"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1046e1OLfwiu1vfvnX_i2LP3yXOGL_87_BxyiXgkVmuU/edit#gid=0",
"cachedResultName": "Foglio1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1046e1OLfwiu1vfvnX_i2LP3yXOGL_87_BxyiXgkVmuU",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1046e1OLfwiu1vfvnX_i2LP3yXOGL_87_BxyiXgkVmuU/edit?usp=drivesdk",
"cachedResultName": "Elevenlabs Speech-to-Text"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 4.7
},
{
"id": "a05956e3-2151-4897-94f5-8b63972a1ada",
"name": "Transcript Analysis",
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"position": [
-224,
704
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "models/gemini-2.5-pro",
"cachedResultName": "models/gemini-2.5-pro"
},
"options": {
"systemMessage": "=# Meeting Transcript Analysis AI Agent - System Prompt\n\nYou are an expert AI agent specialized in analyzing and summarizing transcriptions from meetings, podcasts, interviews, webinars, and other audio/video content. Your primary function is to extract meaningful insights and create comprehensive summaries from spoken content that has been converted to text.\n\n## Core Responsibilities\n\n**Primary Function**: Analyze and summarize transcribed content with high accuracy and relevance, focusing on key information extraction and actionable insights.\n\n## Analysis Capabilities\n\n### Content Types You Handle\n- Business meetings (team meetings, board meetings, client calls)\n- Podcasts and interviews\n- Webinars and presentations \n- Conference calls and video conferences\n- Training sessions and workshops\n- Sales calls and customer interactions\n- Academic lectures and seminars\n\n### Key Analysis Areas\n- **Main Topics & Themes**: Identify central discussion points and recurring themes\n- **Key Decisions**: Extract decisions made, consensus reached, and resolutions\n- **Action Items**: Identify tasks assigned, deadlines, and responsibilities\n- **Key Participants**: Note important speakers and their contributions\n- **Important Quotes**: Capture significant statements and insights\n- **Follow-up Items**: Identify what needs to happen next\n- **Conflicts or Issues**: Note disagreements, concerns, or problems discussed\n\n## Summary Structure Guidelines\n\nWhen summarizing transcripts, organize your output using this structure:\n\n### Executive Summary\n- Brief overview of the main purpose and outcome (2-3 sentences)\n\n### Key Discussion Points\n- Main topics covered in order of importance\n- Context and background information when relevant\n\n### Decisions Made\n- Clear list of decisions reached\n- Who made the decisions and any voting/consensus details\n\n### Action Items\n- Specific tasks identified\n- Assigned person/team (when mentioned)\n- Deadlines or timeframes (when specified)\n\n### Important Insights\n- Notable quotes, ideas, or revelations\n- Expert opinions or recommendations shared\n\n### Next Steps\n- Follow-up meetings or actions planned\n- Unresolved items requiring future attention\n\n## Quality Standards\n\n### Accuracy Requirements\n- Maintain fidelity to the original content\n- Do not infer information not present in the transcript\n- Clearly distinguish between stated facts and implied meanings\n- Preserve the context and tone when relevant\n\n### Clarity Standards\n- Use clear, professional language\n- Organize information logically\n- Highlight the most important information\n- Make summaries scannable with appropriate headers\n\n### Completeness Guidelines\n- Cover all major topics discussed\n- Include all action items and decisions\n- Note important participant contributions\n- Capture timeline and sequence when relevant\n\n## Special Handling Instructions\n\n### For Meeting Transcripts\n- Focus on business outcomes and decisions\n- Highlight resource allocation and budget discussions\n- Note attendance and key participant roles\n- Identify meeting effectiveness and any process issues\n\n### For Podcasts/Interviews\n- Emphasize key insights and expert opinions\n- Note interesting anecdotes or case studies\n- Highlight actionable advice or recommendations\n- Capture the guest's background and credentials when relevant\n\n### For Technical Content\n- Explain complex concepts in accessible language\n- Note technical specifications or requirements\n- Highlight implementation details and timelines\n- Identify technical challenges or solutions discussed\n\n## Response Formatting\n\n- Use markdown formatting for better readability\n- Apply consistent header hierarchy\n- Use bullet points for lists and action items\n- Bold key terms and important information\n- Include relevant timestamps when available in the source\n\n## Adaptive Analysis\n\nAdjust your analysis depth and focus based on:\n- Content length and complexity\n- Apparent purpose of the original meeting/content\n- Level of technical detail present\n- Stakeholder types involved\n- Urgency indicators in the content\n\n## Limitations Acknowledgment\n\nWhen encountering unclear audio transcription, multiple speakers, or ambiguous content:\n- Note areas where the transcript may be unclear\n- Indicate when speaker identification is uncertain\n- Flag potential transcription errors that affect meaning\n- Suggest areas that may need clarification from participants\n\nYour goal is to transform raw transcribed content into organized, actionable summaries that save time and ensure nothing important is mi"
},
"messages": {
"values": [
{
"content": "=Full transcript:\n{{ $json.text }}"
}
]
}
},
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "6a8e5bd2-8a45-4f9f-bd57-e80c071dbd67",
"name": "Send email",
"type": "n8n-nodes-base.gmail",
"position": [
560,
704
],
"parameters": {
"sendTo": "YOUR_EMAIL_ADDRESS",
"message": "={{ $json.data }}",
"options": {
"appendAttribution": false
},
"subject": "=[N8N] Recap",
"emailType": "text"
},
"credentials": {
"gmailOAuth2": {
"name": "<your credential>"
}
},
"typeVersion": 2.1
},
{
"id": "5ba1820c-8aef-435f-88e1-e6242f50ad18",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-592,
-672
],
"parameters": {
"color": 3,
"width": 704,
"height": 320,
"content": "## Transcribe and Analyze Meetings or Podcasts (audio/video) using ElevenLabs Speech-to-Text\n\nThis model excels in scenarios requiring accurate speech-to-text conversion:\n- Transcription Services: Perfect for converting audio/video content to text\n- Meeting Documentation: Ideal for capturing and documenting conversations\n- Content Analysis: Well-suited for audio content processing and analysis\n- Multilingual Recognition: Supports accurate transcription across 99 languages\n\nFiles up to 3 GB in size and up to 10 hours in duration are supported.\n\nThis API supports uploading both audio and video files for transcription.\n\n"
},
"typeVersion": 1
},
{
"id": "b2a10f86-4613-47a2-b733-3e85083b3bba",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-592,
-320
],
"parameters": {
"color": 5,
"width": 704,
"height": 176,
"content": "## STEP 1\n- Register for FREE to [Elevenlabs](https://try.elevenlabs.io/ahkbf00hocnu)\n- Clone this [Sheet](https://docs.google.com/spreadsheets/d/1046e1OLfwiu1vfvnX_i2LP3yXOGL_87_BxyiXgkVmuU/edit?usp=sharing)\n- Insert the URL of the audio/video to be transcribed and analyzed in the 'Audio URL' column\n- Set the \"Auth Header\" in \"Speech-to-Text\" node. Name 'xi-api-key', Value 'API_KEY'"
},
"typeVersion": 1
},
{
"id": "84780869-7d02-4d43-8831-9eac1409f79b",
"name": "Markdown",
"type": "n8n-nodes-base.markdown",
"position": [
208,
704
],
"parameters": {
"mode": "markdownToHtml",
"options": {},
"markdown": "={{ $json.content.parts[0].text }}"
},
"typeVersion": 1
},
{
"id": "6f182a94-bfe7-4718-b323-dc0be3b503b8",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
48,
32
],
"parameters": {
"width": 224,
"height": 240,
"content": "## Transcript"
},
"typeVersion": 1
},
{
"id": "ab04db7f-43f8-43aa-a476-b19ca55f8b5e",
"name": "Add Transcript to Doc",
"type": "n8n-nodes-base.googleDocs",
"position": [
544,
112
],
"parameters": {
"actionsUi": {
"actionFields": [
{
"text": "={{ $('Speech-to-Text').item.json.text }}",
"action": "insert"
}
]
},
"operation": "update",
"documentURL": "={{ $json.id }}"
},
"credentials": {
"googleDocsOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 2
},
{
"id": "70c2a0e6-7d19-457a-ad28-3bb6dafa7142",
"name": "Create Doc",
"type": "n8n-nodes-base.googleDocs",
"position": [
320,
112
],
"parameters": {
"title": "={{ $json.transcription_id }}",
"folderId": "1tkCr7xdraoZwsHqeLm7FZ4aRWY94oLbZ"
},
"credentials": {
"googleDocsOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 2
},
{
"id": "0fcf062e-5603-46bc-bf4f-3d62cf1640a0",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-304,
640
],
"parameters": {
"width": 400,
"height": 240,
"content": "## Analysis"
},
"typeVersion": 1
},
{
"id": "e4ff9aae-a943-4763-a4ac-3db77532d75e",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-592,
-112
],
"parameters": {
"color": 5,
"width": 704,
"height": 96,
"content": "## STEP 2\n- Set YOUR_EMAIL_ADDRESS in \"Send email\" node"
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "b6fd2daf-7117-4396-b0a9-135fd17c71d3",
"connections": {
"Markdown": {
"main": [
[
{
"node": "Send email",
"type": "main",
"index": 0
}
]
]
},
"Create Doc": {
"main": [
[
{
"node": "Add Transcript to Doc",
"type": "main",
"index": 0
}
]
]
},
"Update row": {
"main": [
[
{
"node": "Call 'ElevenLabs Text-to-Speech'",
"type": "main",
"index": 0
}
]
]
},
"Get audio urls": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Speech-to-Text": {
"main": [
[
{
"node": "Create Doc",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[],
[
{
"node": "Speech-to-Text",
"type": "main",
"index": 0
}
]
]
},
"Transcript Analysis": {
"main": [
[
{
"node": "Markdown",
"type": "main",
"index": 0
}
]
]
},
"Add Transcript to Doc": {
"main": [
[
{
"node": "Update row",
"type": "main",
"index": 0
}
]
]
},
"Call 'ElevenLabs Text-to-Speech'": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"When Executed by Another Workflow": {
"main": [
[
{
"node": "Transcript Analysis",
"type": "main",
"index": 0
}
]
]
},
"When clicking \u2018Execute workflow\u2019": {
"main": [
[
{
"node": "Get audio urls",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
gmailOAuth2googleDocsOAuth2ApigooglePalmApigoogleSheetsOAuth2ApihttpHeaderAuth
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
This workflow automates the process of transcribing audio/video files into text using ElevenLabs Speech-to-Text, saving the transcripts to Google Docs, and generating AI-powered summaries and analysis, which are then emailed to a specified address.
Source: https://n8n.io/workflows/8755/ — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
Pitch Paul. Uses lmChatOpenRouter, telegram, outputParserStructured, supabaseTool. Event-driven trigger; 33 nodes.
OpenRouter Chat, Telegram, Output Parser Structured +10
Based on the Google Sheet data, the AI will retrieve the userstories ID's, retrieves the userstory data and the corresponding attachments and creates sprint goals according to the defined system promp
Google Gemini Chat, Google Sheets, HTTP Request Tool +6
Automated Research Report Generation with OpenAI, Wikipedia, Google Search, and Gmail/Telegram. Uses lmChatOpenAi, memoryBufferWindow, toolHttpRequest, agent. Event-driven trigger; 26 nodes.
OpenAI Chat, Memory Buffer Window, Tool Http Request +8
This workflow automates the process of generating professional research reports for researchers, students, and professionals. It eliminates manual research and report formatting by aggregating data, g
OpenAI Chat, Memory Buffer Window, Tool Http Request +8
This template is designed for healthcare providers, sales reps, and medical tourism companies who need to process diagnosis emails efficiently. It automates the full flow from email to report delivery
Gmail Trigger, Google Sheets, Agent +5