Block 1 - Telegram
- Type / Role
- n8n-nodes-base.telegram - telegram
- Config choices
- Version 1.2
This workflow is provided as-is. Please review and test before using in production.
This n8n workflow automates the process of transcribing a voice message received via Telegram, summarizing the transcription using an AI model, and then saving both the transcription and the summar...
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
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Wild Nomad.
Original n8n.io sourceThis n8n workflow automates the process of transcribing a voice message received via Telegram, summarizing the transcription using an AI model, and then saving both the transcription and the summary to separate Google Docs in Google Drive.
Here's a breakdown of the workflow:
file_id from the incoming message.In essence, this workflow allows users to send a voice message to a Telegram bot, and automatically get both a transcription and a summary of that message saved as separate documents in their Google Drive.
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.
| Workflow | Transcribe Telegram voice notes to Google Docs with OpenAI & DeepSeek summaries |
|---|---|
| Complexity | intermediate |
| Nodes | 12 |
| Categories | Document Extraction, Multimodal AI |
| Author | Wild Nomad |
| Published | 15 Jun 2025 |
Use the JSON export at /data/workflows/4938/4938.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
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.
This n8n workflow automates the process of transcribing a voice message received via Telegram, summarizing the transcription using an AI model, and then saving both the transcription and the summar...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
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.