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

Wysoka złożoność Wyzwalacz23 węzłów🏷️ Invoice Processingautor: Budi SJ

Przegląd

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

Użyte węzły

Google SheetsHTTP RequestTelegramCodeAI AgentBasic LLM ChainSimple MemoryStructured Output ParserOpenRouter Chat Model

Podgląd workflow

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

Jak to działa

  1. 1

    Wyzwalacz

    Workflow uruchamia się wyzwalaczem wyzwalacz.

  2. 2

    Przetwarzanie

    Dane przepływają przez 23 węzłów, connecting agent, chainllm, code.

  3. 3

    Wyjście

    Workflow kończy automatyzację i dostarcza wynik do skonfigurowanego miejsca docelowego.

Szczegóły węzłów (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

Jak zaimportować ten workflow

  1. 1Kliknij przycisk Pobierz JSON po prawej stronie, aby zapisać plik workflow.
  2. 2Otwórz swoją instancję n8n. Przejdź do Workflow → Nowy → Importuj z pliku.
  3. 3Wybierz pobrany plik process-receipts-with-google-vision-ocr-ai-telegram-to-google-sheets i kliknij Importuj.
  4. 4Skonfiguruj dane uwierzytelniające dla każdego węzła usługi (klucze API, OAuth itp.).
  5. 5Kliknij Testuj workflow, aby sprawdzić, czy wszystko działa, a następnie aktywuj go.

Lub wklej bezpośrednio w n8n → Importuj z JSON:

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

Integracje

agentchainllmcodegooglesheetsgooglesheetstoolhttprequestiflmchatopenroutermemorybufferwindowoutputparserstructuredsetsplitouttelegramtelegramtrigger

Pobierz ten workflow

Pobierz i zaimportuj jednym kliknięciem

Pobierz JSONZobacz na n8n.io
Węzły23
Złożonośćhigh
Wyzwalacztrigger

Autor

Budi SJ

Budi SJ

@budisj

Tagi

agentchainllmcodegooglesheetsgooglesheetstoolhttprequestiflmchatopenroutermemorybufferwindowoutputparserstructured

Nowy w n8n?

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🔗 Webhook·12 nodes