◎ CASE / 019◎ AUTOMATION◎ KR◎ 2024◎ SHIPPED
Startup Finance TeamPOWERED BY CREWLESS
Receipt OCR Automation
Receipt OCR Automation
ROLE
OCR Automation Pipeline Design & Build
PERIOD
2024
MARKET
KR
HEADLINE
-85% · Data entry time
(01) Challenge · The problem
“Starting point”
The finance team was checking receipts one by one and keying them into the accounting system by hand. Beyond the time sunk into repetitive entry, hunting down and fixing keying errors added a second layer of work at every close.
(02) Solution · How we solved it
“Approach”
When a receipt image comes in, Google Vision OCR extracts the amount, date, and vendor, and an n8n workflow cleans the data and posts it to Xero automatically. Staff only review exceptions, and data entry time fell by 85%.
(03) System · How it runs
Running on the engine.
INTAKE
TRIGGER · RECEIPT UPLOAD
CREW
LESS
LESS
ORCHESTRATOR
OCR AGENT
FIELD EXTRACT
CLEAN AGENT
DATA NORMALIZE
POST AGENT
XERO ENTRY
>pipeline · accounting-receipt-ocr · production▌● IN PRODUCTION
Runtime log · Sample run
▌
(04) Outcomes · Results
Proven by numbers.
-72%
Data entry time
Time spent entering receipt data dropped by 85%.
0
Manual keying
Clean receipts are posted with no human keying step at all.
Auto
Ledger posting
Extracted data is posted to Xero automatically.
(05) Stack · Tools used
Trusted tools only.
01 · OCR
- ▸Google Vision
02 · Automation
- ▸n8n
03 · Integrations
- ▸Xero
▸ Related · AUTOMATIONALL PROJECTS →
START / FREE CONSULT · NDA OK