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

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Built by Calvin Cunningham Calvin Cunningham
Created on June 15, 2026

Description

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

Connect credentials: Telegram, Google, OpenAI.
Sheets: Create a sheet with headers Date, Category, Merchant, Amount, Note. Copy Spreadsheet ID + sheet name.
Map columns in Append to Google Sheet.
Pick models: set Chat model (e.g., gpt-4o-mini) and Whisper for transcription if using audio.
Wait time: keep 500–1000 ms to avoid API race conditions.
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.

Nodes Used (7)

Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm
Code
n8n-nodes-base.code
Google Sheets
n8n-nodes-base.googleSheets
OpenAI
@n8n/n8n-nodes-langchain.openAi
OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi
Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured
Telegram
n8n-nodes-base.telegram