Automate Purchase Bill Processing with AI OCR & QuickBooks Integration — n8n 워크플로

높음 복잡도 트리거20개의 노드🏷️ Invoice Processing작성자: InfyOm Technologies

개요

✅ What problem does this workflow solve?

Accounting teams spend hours manually entering purchase bills into accounting systems—copying vendor details, creating items, checking duplicates, and reconciling totals. This workflow removes that manual effort entirely.

With OCR + AI + QuickBooks integration, this automation converts uploaded purchase bills into fully reconciled QuickBooks bills—accurately, consistently, and without human intervention.

⚙️ What does this workflow do?

Accepts multiple

사용된 노드

HTTP RequestQuickBooks OnlineCodeInformation ExtractorOpenRouter Chat Model

워크플로 미리보기

How it works
1. Upload: Submit PDF invoices via web form
2. Extract: AI reads invoice data (vendor, items, amoun
3. Reconcile: Checks if items/vendors exist in QuickBoo
4. *
PDF Processing
Converts uploaded PDFs to separate items and loops thro
AI Extraction
Extracts structured data from invoice text using OpenRo
Item Management
Checks existing QuickBooks items against invoice line i
Vendor Management
Searches for vendor by name. Creates new vendor record
Bill Creation
Builds complete bill payload with all line items, vendo
model
S
Split Items to Create
Create Items
M
Merge Item Creation Paths
Collect All Item Mappings
Find Vendor
V
Vendor Exists?
Create Vendor
Create Bill
N
Need to Create Items?
Get All QB Items
Prepare Items to Check
Extract Invoice Data
Clean Text
L
Loop Over Invoices
Convert to Separate Items
E
Extract from PDF
Check Which Items to Cre…
Build Bill Payload
OpenRouter Chat Model
O
On bill submission
20 nodes22 edges

작동 원리

  1. 1

    트리거

    워크플로는 트리거 트리거로 시작합니다.

  2. 2

    처리

    데이터가 20개의 노드를 통해 흐릅니다, connecting code, extractfromfile, formtrigger.

  3. 3

    출력

    워크플로가 자동화를 완료하고 구성된 대상에 결과를 전달합니다.

노드 세부 정보 (20)

HT

HTTP Request

httpRequest

#1
QU

QuickBooks Online

quickbooks

#2
CO

Code

code

#3
IN

Information Extractor

n8n-nodes-langchain.informationExtractor

#4
OP

OpenRouter Chat Model

n8n-nodes-langchain.lmChatOpenRouter

#5

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 automate-purchase-bill-processing-with-ai-ocr-quickbooks-integration 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": "Automate Purchase Bill Processing with AI OCR & QuickBooks Integration", "nodes": [...], ...}

통합

codeextractfromfileformtriggerhttprequestifinformationextractorlmchatopenroutermergequickbookssplitinbatchessplitout

이 워크플로 가져오기

한 번의 클릭으로 다운로드 및 가져오기

JSON 다운로드n8n.io에서 보기
노드20
복잡도high
트리거trigger
카테고리Invoice Processing

제작자

InfyOm Technologies

InfyOm Technologies

@infyom

태그

codeextractfromfileformtriggerhttprequestifinformationextractorlmchatopenroutermergequickbookssplitinbatches

n8n을 처음 사용하시나요?

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

n8n 무료로 시작하기 →

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