Skip to main content

Transcribe & summarize Telegram voice notes with OpenAI and DeepSeek Chat to Google Docs

Workflow preview

Workflow preview
100%
Transcribe & summarize Telegram voice notes with OpenAI and DeepSeek Chat to Google Docs preview
Open on n8n.io

Important notice

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

1. Workflow Overview

This workflow automates the process of transcribing voice notes from Telegram and then summarizing them, finally saving both the transcript and the summary to Google Drive. Here's a step by step br...

Best for

  • Document Extraction automation workflows
  • Multimodal AI automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.telegram, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.lmchatdeepseek, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.telegramtrigger, n8n-nodes-base.googledrive

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Transcribe & summarize Telegram voice notes with OpenAI and DeepSeek Chat to Google Docs
Workflow name
Transcribe & summarize Telegram voice notes with OpenAI and DeepSeek Chat to Google Docs

This workflow automates the process of transcribing voice notes from Telegram and then summarizing them, finally saving both the transcript and the summary to Google Drive.

Here's a step-by-step breakdown of what the workflow does:

  • Triggered by Telegram Message: The workflow starts when a new message is received on Telegram.
  • Get Audio File from Telegram: It then retrieves the audio file from the Telegram message.
  • Transcribe Audio with OpenAI: The audio file is sent to OpenAI for transcription.
  • Save Transcript to Google Drive: The generated transcript is saved as a new Google Doc in a designated "N8N Transcribes" folder within Google Drive. The document is named after the original audio file.
  • Summarize Transcript with AI: The transcript is then sent to an AI agent (which uses DeepSeek Chat Model 1 as its language model) to generate a summary description. The prompt instructs the AI to create a plain text summary suitable for a report to a supervisor, expanding on the title and avoiding rich text formatting.
  • Save Summary to Google Drive: Finally, the generated summary is saved as a new Google Doc in a "N8N Summaries" folder in Google Drive, also named after the original audio file.

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 - Telegram1

Type / Role
n8n-nodes-base.telegram - telegram
Config choices
Version 1.2

Block 2 - OpenAI2

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

Block 3 - Sticky Note

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

Block 4 - Sticky Note3

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

Block 5 - DeepSeek Chat Model1

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

Block 6 - AI Agent1

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 1.9

Block 7 - Telegram Trigger1

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

Block 8 - Google Drive

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

Block 9 - Google Drive2

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

Block 10 - Sticky Note4

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

Block 11 - Sticky Note5

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

3. Summary Table

Workflow Transcribe & summarize Telegram voice notes with OpenAI and DeepSeek Chat to Google Docs
Complexity intermediate
Nodes 11
Categories Document Extraction, Multimodal AI
Author Wild Nomad
Published 15 Jun 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/4944/4944.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 Transcribe & summarize Telegram voice notes with OpenAI and DeepSeek Chat to Google Docs do?

This workflow automates the process of transcribing voice notes from Telegram and then summarizing them, finally saving both the transcript and the summary to Google Drive. Here's a step by step br...

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, Multimodal AI use case.