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Convert Fathom meeting transcripts to formatted Google Docs with AI summaries

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Transcript → AI Analysis → Formatted Doc This workflow automatically converts Fathom meeting transcripts into beautifully formatted Google Docs with AI generated summaries, key points, decisions, a...

Best for

  • Document Extraction automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.code, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.googledrive, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.if

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Dean Pike.

Original n8n.io source

1.1 Workflow description

Title
Convert Fathom meeting transcripts to formatted Google Docs with AI summaries
Workflow name
Convert Fathom meeting transcripts to formatted Google Docs with AI summaries

Transcript → AI Analysis → Formatted Doc

This workflow automatically converts Fathom meeting transcripts into beautifully formatted Google Docs with AI-generated summaries, key points, decisions, and action items.

Good to know

  • Works fully with Fathom free account
  • Webhook responds immediately to prevent Fathom timeout and duplicate triggers
  • Validates transcript quality (3+ conversation turns) before AI processing to save costs
  • Uses Google Gemini API (generous free tier and rate limits, typically enough to avoid paying for API requests, but check latest pricing at Google AI Pricing)
  • Creates temporary HTML file that's auto-deleted after conversion

Who's it for

Individuals or teams using Fathom for meetings who want more control and flexibility with their AI meeting analysis and storage independently of Fathom, as well as automatic, formatted documentation without manual note-taking. Perfect for recurring syncs, client meetings, or interview debriefs.

How it works

  1. Fathom webhook triggers when meeting ends and sends transcript data
  2. Validates transcript has meaningful conversation (3+ turns)
  3. Google Gemini AI analyzes transcript and generates structured summary (key points, decisions, actions, next steps)
  4. Creates formatted HTML with proper styling
  5. Uploads to Google Drive and converts to native Google Doc
  6. Reduces page margins for readability and deletes temporary HTML file

Requirements

  • Fathom account with API webhook access (available on free tier)
  • Google Drive account (OAuth2)
  • Google Docs account (OAuth2)
  • Google Gemini API key (Get free key here)

How to set up

  1. Add credentials: Google Drive OAuth2, Google Docs OAuth2, Google Gemini API
  2. Copy the webhook URL from the Get Fathom Meeting webhook node (Test URL first, change to Production URL when ready)
  3. In Fathom: Settings → API Access → Add → Add webhook URL and select all events including "Transcript"
  4. Test with a short meeting, verify Google Doc appears in Drive
  5. Activate workflow

Customizing this workflow

  • Change save location: Edit "Upload File as HTML" node → update "Parent Folder"
  • Modify AI output: Edit "AI Meeting Analysis" node → customize the prompt to add/remove sections (e.g., risks, follow-ups, sentiment, etc)
  • Adjust document margins: Edit "Reduce Page Margins" node → change margin pixel values
  • Add notifications: E.g. add Slack/Email node after "Convert to Google Doc" to notify team when summary is ready

Quick Troubleshooting

  • "Transcript Present?" fails: Fathom must send transcript_merged with 3+ conversation turns (i.e. only send to Gemini for analysis if there's a genuine transcript)
  • HTML as plain text: Check "Convert to Google Doc" uses POST to /copy endpoint
  • 401/403 errors: Re-authorize Google credentials
  • Inadequate meeting notes: Edit prompts in "AI Meeting Analysis" node

Sample File and Storage Output

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Google Gemini Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Block 2 - Structured Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 3 - Format Key Parts

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 4 - Set Fields

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 5 - Create as HTML

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 6 - Convert to Google Doc

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 7 - Upload File as HTML

Type / Role
n8n-nodes-base.googleDrive - googleDrive
Config choices
Version 3

Block 8 - Delete HTML File

Type / Role
n8n-nodes-base.googleDrive - googleDrive
Config choices
Version 3

Block 9 - AI Meeting Analysis

Type / Role
@n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices
Version 1.7

Block 10 - Transcript Present?

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.2

Block 11 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 12 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 13 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 14 - Improve Page Layout

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 15 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 16 - Get Fathom Meeting

Type / Role
n8n-nodes-base.webhook - webhook
Config choices
Version 2.1

Block 17 - Sticky Note7

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 18 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Convert Fathom meeting transcripts to formatted Google Docs with AI summaries
Complexity advanced
Nodes 18
Categories Document Extraction, AI Summarization
Author Dean Pike
Published 13 Oct 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/9549/9549.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Convert Fathom meeting transcripts to formatted Google Docs with AI summaries do?

Transcript → AI Analysis → Formatted Doc This workflow automatically converts Fathom meeting transcripts into beautifully formatted Google Docs with AI generated summaries, key points, decisions, a...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI Summarization use case.