Voice Notes to Structured Personal Notes via Telegram & Local LLaMA - n8n Workflow | Neura Market
Voice Notes to Structured Personal Notes via Telegram & Local LLaMA
Automates voice/text note capture via Telegram, local Whisper transcription, LLaMA summarization/tagging, and storage for offline retrieval and reflection.
This n8n workflow powers a Personal Notes Assistant that captures voice memos or text notes sent via Telegram bot. It processes inputs offline on devices like Raspberry Pi 5, using local Whisper for accurate audio transcription into structured text.
The transcribed or direct text notes are then analyzed by LLaMA 3.2 via Ollama, which generates summaries, suggests tags (e.g., mood, theme), and adds metadata like timestamps. Notes are securely stored in a local database such as SQLite or JSON, en
Platform
n8n
Category
Real Estate
Price
$19.99
Creator
Maxim Luong
Telegram
Voice Transcription
Whisper
LLaMA
Ollama
Local AI
Personal Notes
Offline Processing
Raspberry Pi
Database Storage
How to import this workflow into n8n
1Purchase or download the workflow to get the n8n workflow JSON file.
2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
3Open each node marked with a credential warning and connect your own accounts and API keys.
4Run the workflow once manually to verify the data flow, then toggle it to Active.