📄 BANK STATEMENT EXTRACTION

PDF Statements In.
Clean, Coded Data Out.

Turn PDF bank and credit-card statements into clean, categorised transactions — in Excel, CSV, or straight into QuickBooks, Xero, Sage, or NetSuite. No retyping, and verified to reconcile.

Any bank or credit card
Excel, CSV, or into your books
Categorised & verified
Years of backlog welcome

From Locked PDF to Usable Data

Statement data you can actually work with — and trust

📄
PDF → data
Any Statement

Bank & credit-card PDFs into clean transactions

🎯
~95%
Auto-Extracted

Fields captured without retyping

🏷️
Coded
Categorised

Mapped to your chart of accounts

Verified
Balanced

Totals checked against the statement

Why Statement Data Entry Is Such a Slog

The data you need is sitting in a PDF that won't give it up

⌨️

Manual Retyping

Someone keys transactions from PDF statements into Excel or the accounting system, line by line.

Impact: Hours per statement, every month
🔒

No Usable Export

The bank only gives you a PDF — no CSV, no feed — so the data is locked in a document.

Impact: Data trapped in PDFs
🐛

Transcription Errors

Hand-keyed numbers introduce typos that don't surface until reconciliation (or an audit).

Impact: Errors compound downstream
🔀

Inconsistent Formats

Every bank and card lays out statements differently, so a one-size template breaks constantly.

Impact: Templates that never quite work
🗂️

Historical Backlog

Years of statements to digitise for a cleanup, migration, or loan application.

Impact: A daunting one-off project
⚖️

Then It Has To Reconcile

Extracted data is only useful if it actually ties out to the books — extraction alone isn't enough.

Impact: Garbage in, garbage out

How Statement Extraction Works

Extract, categorise, verify, deliver

📥

Statement → Structured Data

Turn PDF bank and credit-card statements into clean, structured transactions — date, description, amount, balance.

  • Bank & credit-card PDFs
  • Multi-page, multi-account
  • CSV / Excel / direct-to-ledger
  • No per-bank templates to babysit
🏷️

Smart Categorisation

Map transactions to your chart of accounts with rules plus AI that learns your coding.

  • Chart-of-accounts mapping
  • Vendor/payee normalisation
  • Learns from your decisions
  • Exceptions flagged for review

The Verification Layer

Prove the extraction is right — line items are totalled and checked against the statement's own totals.

  • Totals reconciled to the statement
  • Duplicate & missing-line detection
  • Confidence flags on fuzzy reads
  • Audit-ready output
🔗

Into Your Accounting System

Push the clean, coded data straight into QuickBooks, Xero, Sage, or NetSuite — or hand back tidy CSV/Excel.

  • QuickBooks / Xero / Sage / NetSuite
  • CSV & Excel export
  • Scheduled or on-demand
  • Feeds straight into reconciliation

Extraction is only half the job

Anyone can dump a PDF into rows. The value is in getting it right and getting it into your books reconciled. We total the extracted lines, check them against the statement, flag the exceptions, and code everything to your chart of accounts — so what lands in your ledger is data you can actually trust.

The Extraction Workflow

From a stack of PDFs to clean, coded transactions

1

Drop In Statements

Provide PDF statements — one, or years of backlog.

Automation: Secure upload or scheduled pickup
2

Extract

Transactions are read into structured rows, across pages and accounts.

Automation: AI extraction (no templates)
3

Categorise

Each line is coded to your chart of accounts.

Automation: Rules + learned categorisation
4

Verify

Totals are checked against the statement and exceptions surfaced.

Automation: Verification layer
5

Deliver

Clean data lands in your accounting system or as CSV/Excel.

Automation: Sync or export

Where the Data Goes

Straight into your stack, or back to you as a clean file

Bank Reconciliation

Feed extracted data straight into automated reconciliation

Learn more →

QuickBooks Online

Push coded transactions into QBO

Learn more →

Xero

Import clean statement data into Xero

Learn more →

Accounts Payable

Statement data supports AP matching and audit

Learn more →

CSV & Excel

Prefer a file? Get tidy CSV/Excel back

Sage & NetSuite

Extraction into Sage or NetSuite ledgers

Learn more →

Extraction is the front door to bank reconciliation automation — part of end-to-end finance operations automation.

💰

Not sure your books are telling the truth?

A Financial Data Health Check finds the discrepancies and dollars at risk — from $500 CAD.

Bank Statement Extraction FAQ

Turning PDF statements into usable, trustworthy data

Can you convert a bank statement PDF to Excel or CSV? +
Yes. We turn PDF bank and credit-card statements into clean, structured Excel or CSV — date, description, amount, and balance — without anyone retyping them. We can also push the data straight into your accounting system instead of a file.
Can't I just use a free bank statement converter? +
Free converters can be fine for a one-off, simple statement. They tend to struggle with messy layouts, multi-page or multi-account statements, and categorisation — and they don't verify the result or get it into your books reconciled. We handle the awkward cases, code the transactions, prove the totals tie out, and deliver it where you need it.
Does it work with any bank or credit card? +
Yes — the extraction is AI-based rather than template-based, so it handles different bank and card layouts, including ones that don't offer a CSV export or a data feed.
Can you get the data into QuickBooks or Xero? +
Yes. We deliver clean, categorised transactions directly into QuickBooks, Xero, Sage, or NetSuite — or as CSV/Excel if you'd rather import them yourself. From there it flows straight into bank reconciliation.
How do you make sure the extracted numbers are correct? +
A verification layer totals the extracted line items and checks them against the statement's own totals, flags duplicates or missing lines, and marks any low-confidence reads for a human to confirm. Accuracy is the whole point — extraction without verification isn't useful.
Can you process years of historical statements? +
Yes. Backlog digitisation — for a cleanup, a software migration, or a financing application — is a common use. We can process large historical batches and hand back a clean, consistent dataset.

What our clients say

Stop retyping statements

Get a free plan showing how we'd turn your bank and credit-card statements into clean, coded, reconciled data.