Process Receipts with Google Vision OCR, AI & Telegram to Google Sheets — n8n 工作流

复杂度 触发器23 个节点🏷️ Invoice Processing作者:Budi SJ

概览

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 Crea

使用的节点

Google SheetsHTTP RequestTelegramCodeAI AgentBasic LLM ChainSimple MemoryStructured Output ParserOpenRouter Chat Model

工作流预览

Automated Financial Reporting Using Google Vi
This workflow automates the process of recording financ
Store the Telegram bot API token as a variabl
- Retrieves the file path (image) from Telegr
- After obtaining the file_path, this
- Save the Google Vision API key into a varia
- Se
Using LLM (Language Model) to process OCR tex
- Cleans numeric data from characters such as
- Splits the Items[] array (containing products per
- Converts parsed transaction data into a hum
- Sends the summary results from LLM to Telegram users.
Providing text based interaction features wit
memorymodelmodelmodelparsertool
T
Telegram Trigger
I
If
Get Path
Get URL
S
Set Vision API
HTTP Request
Code
Basic LLM Chain
OpenRouter Chat Model
Structured Output Parser
Append or update row in …
S
Split Out
Basic LLM Chain1
OpenRouter Chat Model1
Send a text message
AI Agent
G
Get row(s) in sheet in G…
OpenRouter Chat Model2
Send a text message1
Simple Memory
Code1
Send a text message2
S
Set Telegram Token
23 nodes22 edges

工作原理

  1. 1

    触发器

    工作流由 触发器 触发器启动。

  2. 2

    处理

    数据流经 23 个节点, connecting agent, chainllm, code。

  3. 3

    输出

    工作流完成自动化并将结果发送到配置的目标。

节点详情 (23)

GO

Google Sheets

googleSheets

#1
HT

HTTP Request

httpRequest

#2
TE

Telegram

telegram

#3
CO

Code

code

#4
AI

AI Agent

n8n-nodes-langchain.agent

#5
BA

Basic LLM Chain

n8n-nodes-langchain.chainLlm

#6
SI

Simple Memory

n8n-nodes-langchain.memoryBufferWindow

#7
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#8
OP

OpenRouter Chat Model

n8n-nodes-langchain.lmChatOpenRouter

#9

如何导入此工作流

  1. 1点击右侧 下载 JSON 按钮保存工作流文件。
  2. 2打开你的 n8n 实例,依次点击 工作流 → 新建 → 从文件导入
  3. 3选择下载的 process-receipts-with-google-vision-ocr-ai-telegram-to-google-sheets 文件并点击导入。
  4. 4为每个服务节点配置 凭证(API 密钥、OAuth 等)。
  5. 5点击 测试工作流 验证一切正常,然后激活它。

或直接在 n8n → 从 JSON 导入 中粘贴:

{ "name": "Process Receipts with Google Vision OCR, AI & Telegram to Google Sheets", "nodes": [...], ...}

集成

agentchainllmcodegooglesheetsgooglesheetstoolhttprequestiflmchatopenroutermemorybufferwindowoutputparserstructuredsetsplitouttelegramtelegramtrigger

获取此工作流

一键下载并导入

下载 JSON在 n8n.io 上查看
节点23
复杂度high
触发器trigger

创建者

Budi SJ

Budi SJ

@budisj

标签

agentchainllmcodegooglesheetsgooglesheetstoolhttprequestiflmchatopenroutermemorybufferwindowoutputparserstructured

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