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Expense Logging with Telegram to Google Sheets using AI Voice & Text Parsing

Calvin CunninghamCalvin Cunningham
426 views
2/3/2026
AIWebhookOpenAIChatbotAPI
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Use Cases

-Personal or family budget tracking.

-Small business expense logging via Telegram

-Hands-free logging (using voice messages)

How it works:

-Trigger receives text or voice.

-Optional branch transcribes audio to text.

-AI parses into a structured array (SOP enforces schema).

-Split Out produces 1 item per expense.

-Loop Over Items appends rows sequentially with a Wait, preventing missed writes.

-In parallel, Item Lists (Aggregate) builds a single summary string; Merge (Wait for Both) releases one final Telegram confirmation.

Setup Instructions

  1. Connect credentials: Telegram, Google, OpenAI.
  2. Sheets: Create a sheet with headers Date, Category, Merchant, Amount, Note. Copy Spreadsheet ID + sheet name.
  3. Map columns in Append to Google Sheet.
  4. Pick models: set Chat model (e.g., gpt-4o-mini) and Whisper for transcription if using audio.
  5. Wait time: keep 500–1000 ms to avoid API race conditions.
  6. Run: Send a Telegram message like: Gas 34.67, Groceries 82.45, Coffee 6.25, Lunch 14.90.

Customization ideas:

-Add categories map (Memory/Set) for consistent labeling.

-Add currency detection/formatting.

-Add error-to-Telegram path for invalid schema.

10993-expense-logging-with-telegram-to-google-sheets-using-ai-voice--text-parsing

This n8n workflow automates the process of logging expenses into a Google Sheet using Telegram as the input method. It leverages AI (specifically OpenAI) to parse expense details from both text and voice messages, making expense tracking effortless and intelligent.

What it does

This workflow streamlines expense logging through the following steps:

  1. Listens for Telegram Messages: The workflow is triggered whenever a new message is received in a configured Telegram bot.
  2. Transcribes Voice Messages (if applicable): If the incoming Telegram message contains an audio file (voice message), it uses OpenAI's Whisper model to transcribe the audio into text.
  3. Parses Expense Details with AI: The transcribed text (or original text message) is then sent to an OpenAI Chat Model (via LangChain's Basic LLM Chain and Structured Output Parser) to extract key expense information such as the amount, currency, category, and a description.
  4. Formats Data: The extracted expense details are formatted into a structured JSON object.
  5. Adds to Google Sheets: The parsed and formatted expense data is then appended as a new row to a specified Google Sheet.
  6. Confirms via Telegram: A confirmation message is sent back to the user on Telegram, indicating that the expense has been successfully logged.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Telegram Bot: A Telegram bot token and a chat ID where the bot will listen for messages and send confirmations.
  • OpenAI API Key: An API key for OpenAI to access its Whisper (for transcription) and Chat (for parsing) models.
  • Google Sheets: A Google Sheet where expenses will be logged. You'll need its Spreadsheet ID and the name of the sheet.
  • n8n LangChain Nodes: Ensure you have the @n8n/n8n-nodes-langchain package installed in your n8n instance, as it's used for the AI parsing capabilities.

Setup/Usage

  1. Import the Workflow:
    • Download the provided JSON file.
    • In your n8n instance, click "New" in the workflows list, then "Import from JSON" and upload the file.
  2. Configure Credentials:
    • Telegram Trigger: Configure your Telegram Bot API Token.
    • OpenAI Chat Model / OpenAI (for transcription): Set up your OpenAI API Key credentials.
    • Google Sheets: Configure your Google Sheets credentials (typically OAuth2).
  3. Configure Nodes:
    • Telegram Trigger: Ensure the "Chat ID" is correctly set to the Telegram chat you want to monitor.
    • OpenAI (for transcription): If you plan to use voice messages, ensure this node is configured to transcribe audio.
    • Basic LLM Chain / Structured Output Parser: Review the prompt and output schema to ensure it aligns with how you want to extract expense data.
    • Google Sheets: Specify the "Spreadsheet ID" and "Sheet Name" where you want to log expenses. Ensure the column headers in your Google Sheet match the keys being output by the "Edit Fields" node (e.g., Amount, Currency, Category, Description).
    • Telegram (Confirmation): Update the message content as desired for the confirmation message.
  4. Activate the Workflow: Once all credentials and nodes are configured, activate the workflow.

Now, you can send text or voice messages to your Telegram bot, and the workflow will automatically parse and log your expenses into Google Sheets!

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