Bank Statement OCR for Malaysian Businesses
Convert bank statement PDFs into clean transaction data for reconciliation, bookkeeping, audit, and loan processing.
GreatRise builds bank statement extraction pipelines used by finance teams and accounting firms: every transaction line captured, running balances checked, and the output delivered where your workflow needs it.
Why Statement Re-Keying Hurts
Staff re-key hundreds of statement lines for reconciliation or bookkeeping.
Every bank formats its statements differently, so no single template works.
One mistyped amount throws the whole reconciliation out.
Loan and audit files need months of statements converted under deadline.
What Bank Statement OCR Changes
Bank statements have a built-in advantage for OCR: the running balance. Every extracted line can be checked arithmetically, so extraction errors reveal themselves instead of hiding in your books.
Our Product: SEA Bank OCR
The extraction described on this page is not a proposal — it runs in production as our own product, SEA Bank OCR. Use it self-serve, or let us integrate it into your accounting workflow.
Self-serve at seabankocr.com — integration projects quoted separately
Statement OCR Workflows in Practice
Monthly Reconciliation
Accounting Firm Bookkeeping
Loan Application Processing
How Bank Statement OCR Works
1. Ingest
Digital or scanned statement PDFs are uploaded or collected in batches.
2. Parse
A parser tuned to each bank’s layout extracts every transaction line.
3. Verify
Running balances are recomputed line by line; mismatches are flagged for review.
4. Deliver
Clean data flows to Excel, your accounting system, or an API.
Built for the Banks You Use
There is no universal bank statement format — each bank lays out dates, descriptions, and amounts differently, and scanned statements behave differently from digital PDFs. We tune the extraction per layout during implementation, starting with the banks that make up most of your volume, and add further layouts as they appear in production.
This is why we implement statement OCR as a scoped project with your real documents, not as a generic tool you have to fight with. And if you just want to convert statements today, our self-serve product already covers the major Malaysian banks.
How many statement pages does your team key each month?
Send us a sample statement and we will show you the extracted output.
Where the Data Lands
Confidentiality and PDPA
Keep control of your data and comply with internal governance. We can deploy in your environment with clear retention and access rules.
How We Implement Statement OCR
Sample Review
We test extraction on real statements from your banks.
Configure
Parsers and balance checks tuned to those layouts.
Integrate
Output connected to Excel, accounting, or your systems.
Launch & Extend
Go live, then add banks and formats as they appear.
A Kuching Team With Long-Term Experience
We are based in Kuching, Sarawak. Projects are delivered with clear documentation, training, and ongoing support.
Bank Statement OCR FAQ
We tune parsers per bank layout during implementation, starting with the banks that make up your volume. Digital PDFs give the cleanest results; scanned statements work with an added review step.
The running balance is recomputed line by line. If an amount is misread, the balance stops matching and the line is flagged for human review — errors reveal themselves instead of hiding.
Yes. Output can be Excel or CSV for review workflows, or flow into Biztrak or your existing system via integration.
Yes — firms processing many clients’ statements are a primary use case. Batch processing and per-client output make it fit engagement workflows.
Statement processing can run on private or on-premise infrastructure so documents never leave your environment, with access control and processing logs throughout.
Stop Re-Keying Bank Statements
Tell us which banks you work with and where the data must go. We will map the extraction workflow.