Invoice data extraction with LlamaParse and OpenAI — n8n 워크플로

높음 복잡도 트리거17개의 노드🏷️ Invoice Processing👁 37,004회 조회작성자: Jimleuk

개요

This n8n workflow automates the process of parsing and extracting data from PDF invoices. With this workflow, accounts and finance people can realise huge time and cost savings in their busy schedules.

Read the Blog: https://blog.n8n.io/how-to-extract-data-from-pdf-to-excel-spreadsheet-advance-parsing-with-n8n-io-and-llamaparse/

How it works

This workflow will watch an email inbox for incoming invoices from suppliers It will download the attached PDFs and processing them through a third party

사용된 노드

Google SheetsHTTP RequestGmailBasic LLM ChainOpenAI ModelStructured Output Parser

워크플로 미리보기

2. Advanced PDF Processing with LlamaParse
Read more about using HTTP Requests
LlamaIndex's LlamaCloud is a cloud
1. Watch for Invoice Emails
Read more about Gmail Triggers
The Gmail node can watch for all incoming messages
3. Use LLMs to Extract Values from Data
Read more about Basic LLM Chain
Large language models are
🙋‍♂️ Why not just use the built-in PDF conve
A common issue with PDF-to-text convertors are that the
4. Add Label to Avoid Duplication
Read more about working with Gmail
To finish off the workflow, we'll add the "invoice
Try Me Out!
This workflow does the following:
* Waits for email invoices with PDF attachments.
* Uses the LlamaParse service to convert the invoice PD
* Uses a LLM to ex
Need more attributes?
Change it here!
🚨Required
* Set Your Google Sheet URL here
* Set the Name of your Sheet
Don't use GSheets?
Swap this for Excel, Airtable or a Database!
🚨Required
* Change the email filters here!
modelparser
OpenAI Model
Structured Output Parser
Upload to LlamaParse
R
Receiving Invoices
Append to Reconciliation…
Get Processing Status
W
Wait to stay within serv…
I
Is Job Ready?
Add "invoice synced" Label
Get Parsed Invoice Data
M
Map Output
Apply Data Extraction Ru…
S
Should Process Email?
S
Split Out Labels
Get Labels Names
C
Combine Label Names
E
Email with Label Names
17 nodes18 edges

작동 원리

  1. 1

    트리거

    워크플로는 트리거 트리거로 시작합니다.

  2. 2

    처리

    데이터가 17개의 노드를 통해 흐릅니다, connecting aggregate, chainllm, gmail.

  3. 3

    출력

    워크플로가 자동화를 완료하고 구성된 대상에 결과를 전달합니다.

노드 세부 정보 (17)

GO

Google Sheets

googleSheets

#1
HT

HTTP Request

httpRequest

#2
GM

Gmail

gmail

#3
BA

Basic LLM Chain

n8n-nodes-langchain.chainLlm

#4
OP

OpenAI Model

n8n-nodes-langchain.lmOpenAi

#5
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#6

이 워크플로 가져오는 방법

  1. 1오른쪽의 JSON 다운로드 버튼을 클릭하여 워크플로 파일을 저장합니다.
  2. 2n8n 인스턴스를 열고 워크플로 → 새로 만들기 → 파일에서 가져오기로 이동합니다.
  3. 3다운로드된 invoice-data-extraction-with-llamaparse-and-openai 파일을 선택하고 가져오기를 클릭합니다.
  4. 4각 서비스 노드에 대한 자격 증명(API 키, OAuth 등)을 설정합니다.
  5. 5워크플로 테스트를 클릭하여 모든 것이 작동하는지 확인한 후 활성화합니다.

또는 n8n → JSON에서 가져오기에 직접 붙여넣기:

{ "name": "Invoice data extraction with LlamaParse and OpenAI", "nodes": [...], ...}

통합

aggregatechainllmgmailgmailtriggergooglesheetshttprequestiflmopenaimergeoutputparserstructuredsetsplitoutswitchwait

이 워크플로 가져오기

한 번의 클릭으로 다운로드 및 가져오기

JSON 다운로드n8n.io에서 보기
노드17
복잡도high
트리거trigger
조회수37,004
카테고리Invoice Processing

제작자

Jimleuk

Jimleuk

@jimleuk

태그

aggregatechainllmgmailgmailtriggergooglesheetshttprequestiflmopenaimergeoutputparserstructured

n8n을 처음 사용하시나요?

n8n은 무료 오픈소스 워크플로 자동화 도구입니다. 자체 호스팅하거나 클라우드 버전을 사용하세요.

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