Convert Telegram Voice Messages to Google Docs with Whisper & GPT-4 Tagging

This n8n template demonstrates how to automatically convert voice messages from Telegram into structured, searchable notes in Google Docs using AI transcription and intelligent tagging. Use cases are many: Try capturing ideas on-the-go while walking, recording meeting insights hands-free, creating voice journals, or building a personal knowledge base from spoken thoughts! ## Good to know - OpenAI Whisper transcription costs approximately $0.006 per minute of audio. - ChatGPT tagging adds roughly $0.001-0.003 per message depending on length. - The workflow supports both German and English voice recognition. - Text messages are also supported - they bypass transcription and go directly to AI tagging. - **Perfect companion**: Combine with the **Weekly AI Review** workflow for automated weekly summaries of all your notes! ## How it works - Telegram receives your voice message or text and triggers the workflow. - An IF node intelligently detects whether you sent audio or text content. - For voice messages: Telegram downloads the audio file and OpenAI Whisper transcribes it to text. - For text messages: Content is passed directly to the next step. - ChatGPT analyzes the content and generates up to 3 relevant keywords (Work, Ideas, Private, Health, etc.). - A function node formats everything with Swiss timestamps, message type indicators, and clean structure. - The formatted entry gets automatically inserted into your Google Doc with date, keywords, and full content. - Telegram sends you a confirmation with the transcribed/original text so you can verify accuracy. ## How to use - Simply send a voice message or text to your Telegram bot - the workflow handles everything automatically. - The manual execution can be used for testing, but in production, this runs on every message. - Voice messages work best with clear speech in quiet environments for optimal transcription. ## Requirements - Telegram Bot Token and configured webhook. - OpenAI API account for Whisper transcription and ChatGPT tagging. - Google Docs API access for document writing. - A dedicated Google Doc where all notes will be collected. ## Customizing this workflow - Adjust the AI prompt to use different tagging categories relevant to your workflow (e.g., project names, priorities, emotions). - Add multiple Google Docs for different contexts (work vs. private notes). - Include additional processing like sentiment analysis or automatic task extraction. - Connect to other apps like Notion, Obsidian, or your preferred note-taking system. And don't forget to also implement the complimentary workflow **Weekly AI Review!**