
Telegram Expense Logger AI
Automatically tracks and structures Telegram transaction messages into Google Sheets with up to 94 % extraction accuracy
Trusted by
Uses Telegram Bot API and Google Sheets API with secure OAuth2 authorization — ensuring privacy and consistent uptime
Success Story
A 2019 study, “Design and Implementation of Financial SMS Extraction and Analysis” (IRAJ Journal), achieved 85–94 % accuracy when parsing banking SMS data (HDFC, Axis Bank)
Integrates with
Problem
Users often receive dozens of financial transaction alerts via Telegram or SMS daily. Manually transferring this data to spreadsheets is time-consuming and error-prone
Solution
Telegram Expense Logger AI automates this process — it listens to Telegram messages, validates transaction alerts, extracts relevant data fields using AI-based regex logic, and logs results into Google Sheets instantly
Result
- Up to 90 % reduction in manual expense entry - Near real-time visibility into spending - Over 85 % accuracy in transaction extraction
Use Cases
Telegram Expense Logger AI automates expense tracking by intelligently parsing Telegram transaction notifications and recording them into Google Sheets. It listens for incoming Telegram messages, identifies those that contain payment or expense details, extracts key data fields such as **Amount, Merchant, Card Ending, Date, Time, and Available Limit**, and appends them to a spreadsheet automatically. The agent uses pattern-recognition logic similar to that validated in financial SMS analysis systems, providing accurate and reliable transaction parsing without manual data entry. Ideal for individuals, freelancers, or finance teams who receive bank or wallet notifications via Telegram and want automatic expense reporting and budget analytics
Integrations
Connect to your existing tools seamlessly
Technology Stack
Automation
Automation
Infrastructure
Implementation Timeline
Connect Telegram Bot & Enable Trigger
10–15 minIntegrate the Telegram bot using API credentials and enable a message trigger to capture incoming transaction messages in real time
Filter Transaction Messages
10–15 minSet up text-based filters to identify and process only messages containing transaction details while ignoring unrelated content
Apply Regex Parsing Logic
10–15 minDefine and test regular expressions (regex) to extract key transaction data such as amount, sender, and timestamp
Map Parsed Data to Google Sheets
10–15 minConnect Google Sheets and map extracted fields to corresponding columns for structured logging and analysis
Activate Live Workflow
10–15 minDeploy the automation, enable live updates, and verify real-time data syncing from Telegram to Google Sheets
Support Included
Includes importable n8n JSON template, regex examples from validated SMS-extraction research, and Google API credential setup guide







