Extract invoice data from scanned PDFs to Google Sheets with Sarvam and Gemini — Flujo de trabajo n8n

Alta complejidad Disparador16 nodos🏷️ Invoice Processing👁 1 vistaspor Divyanshu Gupta

Descripción general

This template is designed for operations, finance, and accounting teams that need to automatically process scanned invoices and extract structured data without manual entry.

It is ideal for businesses handling vendor invoices, reimbursement forms, or bulk document intake.

What this workflow does This workflow uses Sarvam AI Vision model to perform OCR on scanned invoices and extract raw text. The extracted content is then processed using an LLM to identify key invoice fields such as:

Vendor n

Nodos utilizados

Google SheetsHTTP RequestCompressionCodeGoogle Gemini Chat ModelInformation Extractor

Vista previa del flujo de trabajo

!Sarvam
Try It Out!
This template is designed for operations, finance, and
It is
Step 1 – Upload invoice to Sarvam
Creates an OCR job and uploads the invoice PDF to Sarva
Step 2 – Run OCR and monitor status
Starts invoice OCR processing and polls the job status
Step 3 – Retrieve OCR output
Downloads the processed invoice output, decompresses th
Step 4 – Convert OCR text to structured invoi
Cleans OCR text and uses an LLM to extract structured i
Step 5 – Store invoice data
Appends extracted invoice fields to Google Sheets for a
model
Get OCR Result
W
Wait
Information Extractor
Google Gemini Chat Model
T
Trigger – Invoice upload…
Create Sarvam invoice OC…
Generate Sarvam presigne…
M
Merge job details with u…
Upload invoice PDF to Sa…
Start Sarvam invoice OCR
Check Sarvam OCR status
Download Sarvam OCR outp…
Decompress OCR result file
E
Extract invoice OCR JSON
Prepare invoice text for…
Append extracted invoice…
16 nodes16 edges

Cómo funciona

  1. 1

    Disparador

    El flujo de trabajo comienza con un disparador disparador.

  2. 2

    Procesamiento

    Los datos fluyen a través de 16 nodos, connecting code, compression, extractfromfile.

  3. 3

    Salida

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

Detalles de nodos (16)

GO

Google Sheets

googleSheets

#1
HT

HTTP Request

httpRequest

#2
CO

Compression

compression

#3
CO

Code

code

#4
GO

Google Gemini Chat Model

n8n-nodes-langchain.lmChatGoogleGemini

#5
IN

Information Extractor

n8n-nodes-langchain.informationExtractor

#6

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-invoice-data-from-scanned-pdfs-to-google-sheets-with-sarvam-and-gemini 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 invoice data from scanned PDFs to Google Sheets with Sarvam and Gemini", "nodes": [...], ...}

Integraciones

codecompressionextractfromfileformtriggergooglesheetshttprequestinformationextractorlmchatgooglegeminimergewait

Obtener este flujo de trabajo

Descarga e importa con un solo clic

Descargar JSONVer en n8n.io
Nodos16
Complejidadhigh
Disparadortrigger
Vistas1

Creado por

Divyanshu Gupta

Divyanshu Gupta

@divyanshugupta

Etiquetas

codecompressionextractfromfileformtriggergooglesheetshttprequestinformationextractorlmchatgooglegeminimergewait

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🔗 Webhook·12 nodes