Automated Data Extraction from Receipts via Telegram OCR

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This n8n workflow automates the process of extracting data from receipts sent via Telegram and storing it in Google Sheets. The workflow begins with a Telegram trigger that listens for incoming messages, which are classified to identify receipt images. It then retrieves the highest quality image attached to the message and performs OCR (Optical Character Recognition) to extract text from the receipt. The extracted data is processed through AI models for analysis and interpretation. Subsequently, the workflow locates a specific Google Sheet in Google Drive and inserts the processed receipt data into it. Finally, it sends a summary or analysis result back to the user via Telegram. This automation is particularly useful for small businesses or individuals who want to digitize and organize receipt data efficiently, saving manual effort and reducing errors.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatDeepSeek, @n8n/n8n-nodes-langchain.openAi, code, googleDrive, googleSheets, stickyNote, switch, telegram, telegramTrigger

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