Extract & categorize receipt data with Google OCR, OpenRouter AI & Telegram

Stop typing expenses by hand. MoneyMate is an n8n workflow that turns receipts into organized financial insights. Send a photo or a text via Telegram, and MoneyMate pulls out the key details, store info, transaction dates, items, and totals, using Google Vision OCR and AI-powered parsing via OpenRouter. It categorizes expenses (e.g., Food & Beverages, Transport, Household) and sends a clean, emoji-rich summary back to your Telegram chat. If a total comes back as zero, it nudges you to double-check the input. Great for freelancers, small business owners, or anyone who wants expense tracking without the hassle. No database needed, so your data stays private and the setup stays simple. Last upd

Help me set up the n8n workflow "Extract & categorize receipt data with Google OCR, OpenRouter AI & Telegram" (https://n8n.io/workflows/4020). It uses: HTTP Request, Telegram, Code, Basic LLM Chain, Structured Output Parser, OpenRouter Chat Model. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.