Block 1 - Google Gemini Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
- Config choices
- Version 1.1
Telegram Voice Notes to Markdown Journal with Groq Whisper and Gemini This workflow transforms Telegram voice notes and audio files into clean markdown journal entries using Groq Whisper, CloudConv...
@n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.telegramtrigger, n8n-nodes-base.telegram, n8n-nodes-base.httprequest, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.converttofile, n8n-nodes-base.if
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Atha Ahsan Xavier Haris.
Original n8n.io sourceThis workflow transforms Telegram voice notes and audio files into clean markdown journal entries using Groq Whisper, CloudConvert, and Google Gemini.
It automatically downloads incoming Telegram audio messages, transcribes them with Groq Whisper, cleans the transcript into a readable reflective journal using Gemini, converts the result into a markdown file, and sends the journal back to Telegram.
For better audio compatibility, the workflow also includes a CloudConvert fallback path. If Groq Whisper rejects the original audio file because of container or codec issues, the workflow converts the audio to MP3 with CloudConvert and retries transcription automatically.
An optional Google Drive section can also archive all generated journals automatically.
This workflow is useful for journaling, voice-based note-taking, personal reflection, idea capture, daily logging, and building a lightweight AI-assisted second brain.
.md) fileTranscribe Audio with Groq Whisper nodeThe CloudConvert path is included to improve reliability with different audio uploads.
Groq Whisper supports common audio formats, but some files may still fail because of unusual containers, codecs, MIME types, or metadata. When that happens, this workflow converts the failed audio file to MP3 with CloudConvert, then sends the MP3 back to Groq Whisper for transcription.
This fallback is especially useful for some uploaded M4A, OGG, OPUS, or recording files that may not be accepted directly.
If you only want to support files that Groq accepts directly, you can disconnect the CloudConvert fallback path.
The Google Drive section is fully optional.
If connected:
Personal Journal (n8n) folderIf you do not want cloud backups, simply disconnect the Google Drive section.
This workflow uses:
whisper-large-v3) for transcriptionThe AI prompt is designed to:
The generated markdown journals can easily be imported into note-taking tools such as Obsidian, Logseq, Notion, or any markdown-based system.
Have questions or want to connect? Reach me on LinkedIn.
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 | Convert Telegram voice notes into markdown journals with Groq Whisper and Gemini |
|---|---|
| Complexity | advanced |
| Nodes | 24 |
| Categories | Personal Productivity, Multimodal AI |
| Author | Atha Ahsan Xavier Haris |
| Published | 12 May 2026 |
Use the JSON export at /data/workflows/15652/15652.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.
Telegram Voice Notes to Markdown Journal with Groq Whisper and Gemini This workflow transforms Telegram voice notes and audio files into clean markdown journal entries using Groq Whisper, CloudConv...
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 Personal Productivity, Multimodal AI use case.