Process Receipts with Google Vision OCR, AI & Telegram to Google Sheets — n8n ワークフロー

複雑度 トリガー23個のノード🏷️ Invoice Processing作成者:Budi SJ

概要

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

使用ノード

Google SheetsHTTP RequestTelegramCodeAI AgentBasic LLM ChainSimple MemoryStructured Output ParserOpenRouter Chat Model

ワークフロープレビュー

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

仕組み

  1. 1

    トリガー

    このワークフローは トリガー トリガーで開始します。

  2. 2

    処理

    データは 23 個のノードを流れます, connecting agent, chainllm, code。

  3. 3

    出力

    ワークフローは自動化を完了し、設定された宛先に結果を配信します。

ノード詳細 (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

このワークフローのインポート方法

  1. 1右側の JSONをダウンロード ボタンをクリックしてワークフローファイルを保存します。
  2. 2n8nインスタンスを開き、ワークフロー → 新規 → ファイルからインポート に進みます。
  3. 3ダウンロードした process-receipts-with-google-vision-ocr-ai-telegram-to-google-sheets ファイルを選択し、インポートをクリックします。
  4. 4各サービスノードの 認証情報(APIキー、OAuthなど)を設定します。
  5. 5ワークフローをテスト をクリックして動作確認し、有効化します。

またはn8nの JSONからインポート に直接貼り付け:

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

インテグレーション

agentchainllmcodegooglesheetsgooglesheetstoolhttprequestiflmchatopenroutermemorybufferwindowoutputparserstructuredsetsplitouttelegramtelegramtrigger

このワークフローを取得

ワンクリックでダウンロード&インポート

JSONをダウンロードn8n.ioで見る
ノード23
複雑度high
トリガーtrigger
カテゴリInvoice Processing

作成者

Budi SJ

Budi SJ

@budisj

タグ

agentchainllmcodegooglesheetsgooglesheetstoolhttprequestiflmchatopenroutermemorybufferwindowoutputparserstructured

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