Extract & Structure Invoice Data with Google Vision OCR, Gemini LLM & Google Sheets — Flujo de trabajo n8n

Media complejidad⚡ Disparador12 nodos🏷️ Invoice Processingpor Budi SJ

Descripción general

Automated Invoice Collection & Data Extraction Using Vision API and LLM

This workflow automates the process of collecting uploaded invoices, extracting text using Google Vision API, and processing the extracted text with an LLM to produce structured data containing key transaction details such as date, voucher number, transaction detail, vendor, and transaction value.
The final data is saved to Google Sheets and a notification is sent to Telegram in real time.

✨ Key Features Invoice Upload F

Nodos utilizados

Google SheetsHTTP RequestTelegramGoogle DriveCodeBasic LLM ChainStructured Output ParserOpenRouter Chat Model

Vista previa del flujo de trabajo

Automated Invoice Collection & Data Extractio
This workflow automates the process of collecting uploa
- This node triggers the workflow when a user
- Uploads the file received from the form into a specif
- Downloads the file from
- Converts the downloaded invoice file (binar
- Adds the Google Vision API key into the workflow data
- Processes OCR text through an LLM to extrac
- Forces the LLM to produce output in a fixed JSON sche
- Cleans and normalizes numeric fields from the LLM out
- Writes the extracted and cleaned invoice da
- Sends a Telegram message summarizing the new or updat
modelparser
S
Set Vision API
Basic LLM Chain
OpenRouter Chat Model
Structured Output Parser
Download file
HTTP Request
Send a text message
Upload file
Code
Code1
Append or update row in …
⚡
O
On form submission
12 nodes11 edges

Cómo funciona

  1. 1

    Disparador

    El flujo de trabajo comienza con un disparador disparador.

  2. 2

    Procesamiento

    Los datos fluyen a través de 12 nodos, connecting chainllm, code, formtrigger.

  3. 3

    Salida

    El flujo de trabajo completa su automatización y entrega el resultado al destino configurado.

Detalles de nodos (12)

GO

Google Sheets

googleSheets

#1
HT

HTTP Request

httpRequest

#2
TE

Telegram

telegram

#3
GO

Google Drive

googleDrive

#4
CO

Code

code

#5
BA

Basic LLM Chain

n8n-nodes-langchain.chainLlm

#6
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#7
OP

OpenRouter Chat Model

n8n-nodes-langchain.lmChatOpenRouter

#8

Cómo importar este flujo de trabajo

  1. 1Haz clic en el botón Descargar JSON a la derecha para guardar el archivo del flujo de trabajo.
  2. 2Abre tu instancia de n8n. Ve a Flujos de trabajo → Nuevo → Importar desde archivo.
  3. 3Selecciona el archivo extract-structure-invoice-data-with-google-vision-ocr-gemini-llm-google-sheets descargado y haz clic en Importar.
  4. 4Configura las credenciales para cada nodo de servicio (claves API, OAuth, etc.).
  5. 5Haz clic en Probar flujo de trabajo para verificar que todo funcione, luego actívalo.

O pega directamente en n8n → Importar desde JSON:

{ "name": "Extract & Structure Invoice Data with Google Vision OCR, Gemini LLM & Google Sheets", "nodes": [...], ...}

Integraciones

chainllmcodeformtriggergoogledrivegooglesheetshttprequestlmchatopenrouteroutputparserstructuredsettelegram

Obtener este flujo de trabajo

Descarga e importa con un solo clic

Descargar JSONVer en n8n.io
Nodos12
Complejidadmedium
Disparadortrigger
CategoríaInvoice Processing

Creado por

Budi SJ

Budi SJ

@budisj

Etiquetas

chainllmcodeformtriggergoogledrivegooglesheetshttprequestlmchatopenrouteroutputparserstructuredsettelegram
⚡

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🔗 Webhook·12 nodes