Malaysia bank statement processing: Maybank, CIMB, RHB (Oct 2026)

Most Malaysian accounting firms are still bridging the same gap between a PDF bank statement and a posted ledger entry with manual typing. If your firm runs on AutoCount and you're handling Maybank or Public Bank statements for a handful of clients, the hours add up in a way that scales badly. Here's what the faster workflow actually looks like.

TLDR:

• Maybank, CIMB, Public Bank, and RHB all output PDFs with no direct CSV feed to AutoCount, Xero, or QuickBooks.
• Manual entry for 20 clients averages 20 to 30 hours monthly, costing RM460 to RM690 in pure labor per month.
• PDF-to-Excel converters remove typing but leave account code mapping and import as manual steps your team still fills.
• Each bank formats statements differently: CIMB outputs multi-account files, Public Bank embeds subtotal rows, and RHB buries reference codes in description fields.
• Tofu extracts, codes, and publishes Maybank, CIMB, Public Bank, and RHB statements to AutoCount, Xero, and QuickBooks directly, processing statements in 2 to 60 minutes versus 3 to 4 hours manually.

Why Malaysian bank statement processing is a manual bottleneck

Maybank, CIMB, Public Bank, and RHB account for the vast majority of business banking in Malaysia. Every month, clients send their statements over, and almost every time, what arrives is a PDF.

That PDF does not go directly into AutoCount, Xero, or QuickBooks. Someone has to open it, read each transaction line, and key it in manually. For a firm handling 30 or 40 clients, that is a recurring task that scales badly with growth.

The root cause is simple: none of these four banks offer direct CSV feeds that connect reliably to the accounting software most Malaysian firms use. Until that changes, the gap between "bank statement exists" and "transactions are in the ledger" is filled by human effort.

How to download bank statements from each major Malaysian bank

Each bank buries the download button somewhere slightly different. Here is where to find it.

Maybank2u

Log in to Maybank2u, go to Accounts, select the account, and choose eStatements. Pick the month and download the PDF. Business accounts on Maybank2u Business follow the same path under Account Services.

CIMB BizChannel

Log in to CIMB BizChannel, go to Accounts, then Account Statement. Select the account number, set your date range, and export as PDF.

Public Bank PBe / PB Engage

Log in to PBe (personal) or PB Engage (business), go to Account, then Statement. Select the account and period, then download.

RHB Reflex

Log in to RHB Reflex Premium as User (RHB's Reflex Premium statement guide covers these steps), open the Account Management tab, select Account Statement, click Bank Statement (PDF Format), select the account number and statement date, then open or save the downloaded file.

In every case, the output is a PDF. None of these portals produce a CSV or Excel file that drops directly into your accounting software without further steps.

What happens after you download: the 3 processing options

Once the PDF is saved, there are three routes forward.

The first is manual entry: open the statement, read each transaction, type it into AutoCount, Xero, or QuickBooks line by line. No tools required, but at 30 or 40 clients this consumes hours every month.

The second is a PDF-to-Excel converter. Tools like DocuClipper pull transaction rows into a spreadsheet automatically. That removes the typing step, but you still need to clean the output, map account codes, and import the file into your accounting software manually.

The third is an AI bank statement processing tool. Upload the PDF, the tool extracts every transaction, predicts account codes against your chart of accounts, and posts the result directly to Xero, QuickBooks, or AutoCount via CSV. Your job becomes checking the output, not producing it.

Each option carries a different tradeoff between setup, speed, and how much work lands back on your desk, which is why comparing bank statement extraction tools side by side helps before committing to one.

The bank feed gap in Malaysia: what direct feeds cover and what they don't

Direct feeds exist for some Malaysian banks: some Malaysian banks connect directly to Xero. RHB, HSBC Business Go, and CIMB are available as direct feeds; Maybank and Hong Leong Bank are indirect feeds only. Public Bank sits outside the feed network entirely.

Even where a direct feed exists, it only pulls transactions from the current window forward. Historical periods, offline months, or connectivity gaps all require a PDF statement. Multi-currency accounts add another wrinkle: feeds typically cover only the primary currency, so foreign-currency records still arrive as PDFs.

Feeds reduce the problem for some clients, some of the time, and only partially. RHB and CIMB connect as direct feeds; Maybank and Hong Leong Bank are indirect feeds only; Public Bank sits outside the feed network entirely and requires a CSV or PDF workflow regardless. Even where a direct feed exists, it only covers the current window: historical periods, mid-year onboarding, and offline months all revert to a PDF statement. For firms handling any of those scenarios, the PDF workflow stays unavoidable.

Manual entry costs: the math for a Malaysian accounting firm

At RM4,000 a month, a Malaysian bookkeeper costs roughly RM23 per hour, putting each transaction at about RM0.46 to RM0.69 in pure labor (illustrative estimate based on a 174-hour working month and 50 to 75 transactions per hour).

Scale that to 20 clients, each submitting a monthly statement averaging 100 transactions. That is 2,000 transactions per month, or 20 to 30 hours of bank statement entry alone, costing you RM460 to RM690 every month just on typing numbers that already exist in a PDF.

A bookkeeper at RM3,500 handling that volume spends roughly 15 to 20% of their working hours on a single repeating task. Forty clients doubles the entry burden without doubling your headcount.

How PDF-to-Excel converters work, and where they stop

PDF-to-Excel converters like Smallpdf, Adobe Acrobat, and DocuClipper do one thing well: they read a bank statement PDF and output a spreadsheet with transaction rows intact. Date, description, amount, debit/credit column. The typing step disappears.

That is where they stop.

The CSV you receive has no account codes, no tax rate classification, and no connection to Xero, QuickBooks, or AutoCount. You still need to open the file, map each transaction category manually, and import it yourself. For a firm processing 20 clients, that import-and-map step adds up fast.

These tools also have no memory. Process the same supplier payment 12 months in a row and the tool treats it as a stranger every time. DocuClipper is the strongest option in this category, but its output is a clean spreadsheet, not a posted ledger entry. The gap between "CSV in hand" and "transaction in AutoCount" remains a manual step your team fills. For low-volume firms, that may be acceptable. For firms processing multiple clients monthly, the downstream work offsets most of the time saved on extraction.

How AI bank statement processing tools work

When you upload a Maybank or CIMB statement PDF to an AI processing tool, the system reads every transaction line, including descriptions and amounts, going beyond the totals. Date, payee description, amount, and debit/credit classification all get extracted automatically. From there, the tool maps each transaction to an account code in your chart of accounts, assigns a tax rate where applicable, and publishes the result directly into Xero, QuickBooks, or AutoCount. No CSV download. No manual import step.

The part that compounds over time is the self-learning logic. The first time a payee appears, the tool makes a prediction based on its existing knowledge. You correct it once if it guesses wrong. That correction trains the system, so the next statement from the same payee codes correctly without any input from you. After a few months of processing, the exception rate drops considerably as the AI builds up a coding history for each client's transaction patterns.

A PDF-to-Excel converter treats every upload as a blank slate. An AI processing tool carries memory across months and gets better with each statement it sees from the same client.

Processing Maybank, CIMB, Public Bank, and RHB statements: differences to know

Each of the 4 banks formats its statements differently, and those differences affect how cleanly an AI tool extracts your transactions.

Maybank statements include a running balance column alongside each transaction row. The transaction description field often contains a mix of payee names, internal reference strings, and batch payment codes in the same cell. Payee matching improves once the tool has seen a few months of Maybank statements and learned which portion of the description string is actually the payee name.

Here is how the other 3 banks compare:

• CIMB BizChannel lets you download single-account or multi-account PDFs from the same portal. Multi-account statements consolidate several accounts into one file, which trips up tools that assume one statement equals one account. An AI document processing tool with multi-account extraction handles this natively; a basic PDF-to-Excel converter will mix all accounts into one sheet without labeling which row belongs where.
• Public Bank PBe business statements frequently run to multiple pages with consolidated views that group accounts and summary rows between transaction lines, a pattern worth understanding if you need to convert multi-page PDF bank statements to Excel or CSV. Those summary rows are not transactions, but some tools pick them up as entries anyway. Accurate extraction depends on the tool correctly identifying page breaks and ignoring subtotal rows.
• RHB Reflex statements embed reference codes directly in the transaction description column, sitting between the payee name and any payment remarks. For a rule-based tool, that inconsistency breaks payee matching every time a reference code changes. An AI document processing tool that learns from description patterns handles RHB descriptions considerably better after a few processing cycles.

How bank statement data gets into AutoCount, Xero, and QuickBooks

Extraction alone does not close the loop. Once transactions are coded, they still need to reach your accounting software.

There are 3 distinct paths depending on what your firm runs.

For Xero-connected firms with CIMB direct feeds already active, a native bank feed integration pushes extracted transactions directly into Xero's bank feed without a manual CSV step. For banks outside Xero's feed network, like Public Bank, Tofu's Xero Bank Feeds API publishing posts coded transactions directly to Xero in one action.

For AutoCount users, the path is CSV. Tofu outputs AutoCount-formatted CSV files matching AutoCount's exact import specification, covering date, description, account code, and tax code per row. You import that file into AutoCount's reconciliation module, which is the most common workflow for Malaysian firms given that AutoCount is used by 240,000+ companies across Malaysia and Singapore, though some firms also weigh AutoCount alternatives depending on their needs.

For QuickBooks Online, direct API publishing is available, so extracted and coded transactions post to QBO without a manual export step, following the same pattern accounting firms use to PDF bank statements to Xero or QuickBooks.

The distinction worth noting: tools like DocuClipper stop at CSV output and leave the import to you. An AI document processing tool that completes the full posting cycle, from extraction through to ledger entry, removes that final manual step entirely.

What extraction does not cover: the reconciliation step

Extraction gets transaction data into your accounting software, correctly coded and posted. What it does not do is match those transactions against your outstanding invoices, payments, or journal entries. That matching step is bank reconciliation, and it happens inside Xero, QuickBooks, or AutoCount after the data arrives.

The two workflows are sequential by design: Tofu extracts, maps, and publishes every transaction to the ledger; reconciliation then happens inside your accounting platform exactly as it always has, with the data already there and correctly coded. Xero's reconciliation interface, QuickBooks's matching engine, or AutoCount's bank reconciliation module handles the comparison between posted transactions and what the ledger expects to see.

If your team spends hours each month getting PDF transactions into the system, extraction automation solves that problem directly. If the data is already in the ledger but reconciliation is backlogged, the issue is downstream, and a document processing tool does not fix it.

How Tofu processes Maybank, CIMB, Public Bank, and RHB statements for Malaysian accounting firms

Tofu accepts Maybank, CIMB, Public Bank, and RHB statements in PDF, JPG, and PNG formats. Upload the file, and Tofu extracts every transaction line: date, description, debit/credit classification, and amount. No template configuration, no rule builder.

The self-learning knowledge engine codes each transaction against your chart of accounts automatically. Correct a payee category once, and every subsequent statement from that payee codes the same way without prompting. For Malaysian firms handling English, Mandarin, and Bahasa Melayu documents, Tofu processes all three without language selection or manual translation, part of a broader path to automated bookkeeping for AutoCount users in the region.

For AutoCount integration users, Tofu produces AutoCount-formatted CSV templates built for Maybank and CIMB statements, ready for direct import into AutoCount's reconciliation module. For Xero-connected firms, the Xero Bank Feeds API integration posts extracted transactions directly without a CSV step.

The time difference is measurable. As one Malaysian firm director put it in a bank statement processing time case study: "30 minutes at best... it would simply take about two minutes by using Tofu." Across 20 or 30 clients, that reduction compounds each month, especially following the recent bank statement extraction overhaul that improved processing accuracy.

Pricing starts at the Starter plan at $79/month (roughly RM350/month) covering unlimited users, with the Growth plan at $199/month covering up to 50 clients. See the full details on the Tofu pricing page. Both plans include bank statement processing across all document formats and languages with no per-page or per-statement fees.

Final thoughts on handling PDF bank statements from Malaysia's major banks

Most of the friction in Malaysian bookkeeping comes down to one thing: PDFs that do not move themselves. The manual entry math is unfavorable at 20 clients and gets worse from there. AI extraction does not change the workflow entirely, but it does change where your team's time goes: from producing data to checking it. If your firm processes Maybank, CIMB, Public Bank, or RHB statements regularly, try Tofu on a real statement and see what the output looks like before committing to anything.

FAQs

How does Tofu process Maybank, CIMB, Public Bank, and RHB bank statements compared to a PDF-to-Excel converter like DocuClipper?

DocuClipper extracts transaction rows into a spreadsheet and stops there; you still map account codes, handle multi-account CIMB files, and import the CSV yourself every month. Tofu extracts every transaction line, predicts account codes against your chart of accounts, learns each payee's coding from your corrections, and publishes directly to Xero, QuickBooks, or AutoCount without a manual import step. The difference compounds across 20 or 30 clients: DocuClipper removes the typing, but the downstream work stays on your desk.

Does Tofu handle bank reconciliation for Malaysian bank statements, or only extraction?

Tofu handles extraction and posting only; reconciliation happens downstream in your accounting software. Tofu reads your Maybank, CIMB, Public Bank, or RHB statement, codes each transaction against your chart of accounts, and publishes the result to Xero, QuickBooks, or AutoCount. Matching those posted transactions against outstanding invoices and payments is then handled inside Xero's reconciliation interface, QuickBooks's matching engine, or AutoCount's bank reconciliation module.

Best way to get Public Bank PDF statements into AutoCount without manual entry?

Upload the PDF to Tofu, which extracts every transaction line and outputs an AutoCount-formatted CSV matching AutoCount's exact import specification: date, description, account code, tax code, debit/credit per row. You import that file directly into AutoCount's reconciliation module without reformatting. Public Bank sits outside Xero's direct feed network entirely, so this CSV pathway is the most practical route for firms that can't rely on a live feed.

How much time does AI bank statement processing realistically save a Malaysian accounting firm?

At RM23 per hour, manually entering 100 transactions per client across 20 clients costs 20 to 30 hours and RM460 to RM690 every month in labor alone. One Malaysian firm director described the change directly: "30 minutes at best... it would simply take about two minutes by using Tofu." Across a 20 to 30 client portfolio, that reduction compounds each month. The time recovered is roughly equivalent to two to three full working days that previously went to typing numbers already printed on a PDF.

Can Tofu process Maybank and CIMB statements that contain Mandarin or Bahasa Melayu transaction descriptions without manual translation?

Yes. Tofu processes documents in 200+ languages without language selection: Mandarin, Bahasa Melayu, and English fields on the same statement are extracted automatically, with English translations displayed alongside the original text during review. For Malaysian firms handling clients whose statements mix scripts or whose payee descriptions contain non-Latin characters, no manual translation step or separate tool is required before extraction.