Extract invoice data from scanned PDFs to Google Sheets with Sarvam and Gemini — Workflow n8n

Wysoka złożoność Wyzwalacz16 węzłów🏷️ Invoice Processing👁 1 wyświetleńautor: Divyanshu Gupta

Przegląd

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

Użyte węzły

Google SheetsHTTP RequestCompressionCodeGoogle Gemini Chat ModelInformation Extractor

Podgląd workflow

!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

Jak to działa

  1. 1

    Wyzwalacz

    Workflow uruchamia się wyzwalaczem wyzwalacz.

  2. 2

    Przetwarzanie

    Dane przepływają przez 16 węzłów, connecting code, compression, extractfromfile.

  3. 3

    Wyjście

    Workflow kończy automatyzację i dostarcza wynik do skonfigurowanego miejsca docelowego.

Szczegóły węzłów (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

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

Integracje

codecompressionextractfromfileformtriggergooglesheetshttprequestinformationextractorlmchatgooglegeminimergewait

Pobierz ten workflow

Pobierz i zaimportuj jednym kliknięciem

Pobierz JSONZobacz na n8n.io
Węzły16
Złożonośćhigh
Wyzwalacztrigger
Wyświetlenia1

Autor

Divyanshu Gupta

Divyanshu Gupta

@divyanshugupta

Tagi

codecompressionextractfromfileformtriggergooglesheetshttprequestinformationextractorlmchatgooglegeminimergewait

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🔗 Webhook·12 nodes