Process receipts with Google Vision OCR, AI & Telegram to Google Sheets

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Automated Financial Reporting Using Google Vision OCR, Telegram & Google Sheets This workflow automates the process of recording financial transactions from photos of receipts or shopping receipts....

Best for

Invoice Processing automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.telegramtrigger, n8n-nodes-base.if, n8n-nodes-base.httprequest, n8n-nodes-base.set, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.chainllm, @n8n/n8n-nodes-langchain.lmchatopenrouter, @n8n/n8n-nodes-langchain.outputparserstructured

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Budi SJ.

Original n8n.io source

1.1 Workflow description

Title: Process receipts with Google Vision OCR, AI & Telegram to Google Sheets
Workflow name: Process receipts with Google Vision OCR, AI & Telegram to Google Sheets

Automated Financial Reporting Using Google Vision OCR, Telegram & Google Sheets

This workflow automates the process of recording financial transactions from photos of receipts or shopping receipts. Users simply send an image of the receipt via Telegram. The image is processed using the Google Vision API to detect text, then extracted and structured by LLM via OpenRouter. The final result is saved to Google Sheets and also displayed to the user via a Telegram bot.

🧾 Google Sheets Template Create a Google Sheet using this template: Financial Reporting

🛠️ Key Features

The workflow starts when a user sends a photo of a receipt to the Telegram bot.
The image is converted to text using the Google Vision API's OCR.
Data processing with LLM (OpenRouter) helps identify and structure transaction elements such as: date, vendor name & address, receipt/invoice number, item list (product name, quantity, unit price, total), and transaction category.
Cleaned and structured data is automatically recorded to Google Sheets per item.
The system also sends a summary of the recording results in an easy to read text format.
Users can also send text messages to the bot to query stored transaction data, which will be answered by a Google Sheets-based AI Agent.

🔧 Requirements

Active Telegram Bot + API Token
Google Vision API Key
OpenRouter Account + API Key
Google Sheets connected to n8n

🧩 Setup Instructions

Replace all API keys and tokens with your own in the relevant nodes.
- Google Vision API Key: Set in 'Set Vision API' node.
- Telegram Bot Token: Set in 'Set Telegram Token' node and all Telegram nodes.
- OpenRouter API Key: Set in all OpenRouter nodes.
- Google Sheets: Connect your own Google Sheets credential.
Use the provided Google Sheets template or your own.
Activate the workflow after configuration.
(Optional) Review sticky notes for step-by-step explanations.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Telegram Trigger

Type / Role: n8n-nodes-base.telegramTrigger - telegramTrigger
Config choices: Version 1.2

Block 2 - If

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 3 - Get Path

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 4 - Get URL

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 5 - Set Vision API

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 6 - HTTP Request

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 7 - Code

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 8 - Basic LLM Chain

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.7

Block 9 - OpenRouter Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices: Version 1

Block 10 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 11 - Append or update row in sheet

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 12 - Split Out

Type / Role: n8n-nodes-base.splitOut - splitOut
Config choices: Version 1

Block 13 - Basic LLM Chain1

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.7

Block 14 - OpenRouter Chat Model1

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices: Version 1

Block 15 - Send a text message

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 16 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 17 - Get row(s) in sheet in Google Sheets

Type / Role: n8n-nodes-base.googleSheetsTool - googleSheetsTool
Config choices: Version 4.6

Block 18 - OpenRouter Chat Model2

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices: Version 1

Block 19 - Send a text message1

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 20 - Simple Memory

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1.3

Block 21 - Code1

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 22 - Send a text message2

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 23 - Set Telegram Token

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 24 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Showing the first 24 of 31 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Process receipts with Google Vision OCR, AI & Telegram to Google Sheets
Complexity	advanced
Nodes	31
Categories	Invoice Processing, AI Summarization
Author	Budi SJ
Published	24 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/6359/6359.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Invoice Processing workflows AI Summarization workflows

Frequently asked questions

What does Process receipts with Google Vision OCR, AI & Telegram to Google Sheets do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Invoice Processing, AI Summarization use case.

Budi SJ

11 workflows

Nodes

n8n-nodes-base.telegramtrigger n8n-nodes-base.if n8n-nodes-base.httprequest n8n-nodes-base.set n8n-nodes-base.code @n8n/n8n-nodes-langchain.chainllm @n8n/n8n-nodes-langchain.lmchatopenrouter @n8n/n8n-nodes-langchain.outputparserstructured

Complexity

advanced

Published 24 Jul 2025

Likes 0

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Install path: /data/workflows/6359/6359.json

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Process receipts with Google Vision OCR, AI & Telegram to Google Sheets

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Automated Financial Reporting Using Google Vision OCR, Telegram & Google Sheets

🛠️ Key Features

🔧 Requirements

🧩 Setup Instructions

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Telegram Trigger

Block 2 - If

Block 3 - Get Path

Block 4 - Get URL

Block 5 - Set Vision API

Block 6 - HTTP Request

Block 7 - Code

Block 8 - Basic LLM Chain

Block 9 - OpenRouter Chat Model

Block 10 - Structured Output Parser

Block 11 - Append or update row in sheet

Block 12 - Split Out

Block 13 - Basic LLM Chain1

Block 14 - OpenRouter Chat Model1

Block 15 - Send a text message

Block 16 - AI Agent

Block 17 - Get row(s) in sheet in Google Sheets

Block 18 - OpenRouter Chat Model2

Block 19 - Send a text message1

Block 20 - Simple Memory

Block 21 - Code1

Block 22 - Send a text message2

Block 23 - Set Telegram Token

Block 24 - Sticky Note

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions