Extract invoice data from scanned PDFs to Google Sheets with Sarvam and Gemini — n8n ワークフロー

複雑度 トリガー16個のノード🏷️ Invoice Processing👁 1回閲覧作成者:Divyanshu Gupta

概要

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

使用ノード

Google SheetsHTTP RequestCompressionCodeGoogle Gemini Chat ModelInformation Extractor

ワークフロープレビュー

!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

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 16 個のノードを流れます, connecting code, compression, extractfromfile。

  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 (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

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

インテグレーション

codecompressionextractfromfileformtriggergooglesheetshttprequestinformationextractorlmchatgooglegeminimergewait

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16
複雑度high
トリガーtrigger
閲覧数1
カテゴリInvoice Processing

作成者

Divyanshu Gupta

Divyanshu Gupta

@divyanshugupta

タグ

codecompressionextractfromfileformtriggergooglesheetshttprequestinformationextractorlmchatgooglegeminimergewait

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