WhatsApp Receipt OCR & AI Data Extraction with Twilio, LlamaParse & Gemini — n8n ワークフロー

複雑度🔗 Webhook35個のノード🏷️ Invoice Processing作成者:Gabriela Macovei

概要

WhatsApp Receipt OCR & Data Extraction Suite
Categories: Accounting Automation • OCR Processing • AI Data Extraction • Business Tools

This workflow transforms WhatsApp into a fully automated receipt-processing system using advanced OCR, multi-model AI parsing, and structured data storage. By combining LlamaParse, Claude (OpenRouter), Gemini, Google Sheets, and Twilio, it eliminates manual data entry and delivers instant, reliable receipt digitization for any business.

What This Workflow Does

使用ノード

Google SheetsHTTP RequestGoogle DriveCodeBasic LLM ChainStructured Output ParserGoogle Gemini Chat ModelOpenRouter Chat Model

ワークフロープレビュー

Quick reply yes/no . SID from twilio
extracted values. no yes/no buttons
Try It Out!
This template shows how to automate the extraction of k
Send quick reply asking the user to confirm i
Contains yes / No buttons
You need to define the quick reply template inside Twil
Wait for WhatsApp to
OCR pooling mechanism using LlamaParse
Calculate tax if not specified on the receipt
modelmodelmodelparser
W
Webhook3
I
If5
W
Wait
HTTP Request28
HTTP Request29
HTTP Request17
HTTP Request18
HTTP Request30
OpenRouter Chat Model
HTTP Request5
Google Gemini Chat Model5
Upload file2
Append row in sheet2
Update row in sheet4
Update row in sheet5
HTTP Request6
Basic LLM Chain3
Structured Output Parser3
Code4
HTTP Request7
Code5
I
If
M
Merge2
M
Merge3
Share file1
HTTP Request19
S
Switch1
HTTP Request20
HTTP Request21
Update row in sheet9
Update row in sheet10
Update row in sheet11
HTTP Request22
HTTP Request24
Google Gemini Chat Model6
35 nodes37 edges

仕組み

  1. 1

    トリガー

    このワークフローは webhook トリガーで開始します。

  2. 2

    処理

    データは 35 個のノードを流れます, connecting chainllm, code, googledrive。

  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 (35)

GO

Google Sheets

googleSheets

#1
HT

HTTP Request

httpRequest

#2
GO

Google Drive

googleDrive

#3
CO

Code

code

#4
BA

Basic LLM Chain

n8n-nodes-langchain.chainLlm

#5
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#6
GO

Google Gemini Chat Model

n8n-nodes-langchain.lmChatGoogleGemini

#7
OP

OpenRouter Chat Model

n8n-nodes-langchain.lmChatOpenRouter

#8

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 whatsapp-receipt-ocr-ai-data-extraction-with-twilio-llamaparse-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": "WhatsApp Receipt OCR & AI Data Extraction with Twilio, LlamaParse & Gemini", "nodes": [...], ...}

インテグレーション

chainllmcodegoogledrivegooglesheetshttprequestiflmchatgooglegeminilmchatopenroutermergeoutputparserstructuredswitchwaitwebhook

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35
複雑度high
トリガーwebhook
カテゴリInvoice Processing

作成者

Gabriela Macovei

Gabriela Macovei

@gabrielamacovei

タグ

chainllmcodegoogledrivegooglesheetshttprequestiflmchatgooglegeminilmchatopenroutermergeoutputparserstructured

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🔗 Webhook·12 nodes