Bank statement converter
Convert PDF bank statements from any bank into clean Excel, CSV, QuickBooks (QBO) or Xero files. AI extraction — no templates. Balances validated, duplicates removed, every source field preserved.
Excel · CSV · QBO · QFX · OFX · Xero · scanned or digital · balance-validated
One statement, start to finish
A real run against the live product: a PDF statement uploaded, read, checked against its own balances, and opened as a spreadsheet.
Upload to finished spreadsheet in under a minute, unedited.
Opening balance plus every transaction checked against the printed closing balance.
The real .xlsx is opened at the end — data, not a picture of data.
Recorded on a sample statement from a fictional bank — no customer data appears in this video.
One converter for every bank statement
Banks hand you a PDF. Your spreadsheet, your accounting software and your loan application all want structured data. A bank statement converter closes that gap: it reads every transaction off the statement and rebuilds it as clean, editable rows you can sort, total, reconcile or import — without retyping a single line.
FlowParse is built around one idea: extraction should be AI-based, not template-based. Template tools break the moment a bank changes its layout or you upload a statement they've never seen. FlowParse reads the document the way a person would, so it handles any bank, any layout, any number of pages — digital or scanned — and turns it into the format your next step needs.
This page is the hub for the whole workflow. Convert a single statement to Excel or CSV, build a QuickBooks-ready file with the PDF to QBO converter, or consolidate a year of statements with Smart Merge.
AI extraction, no templates
Reads layouts it has never seen — no per-bank setup.
Every column preserved
Date, description, amount, balance and every extra field, 1:1.
Balance-validated
Opening + transactions = closing, checked on every file.
Scanned & multi-page
OCR for image PDFs; long statements stitched into one list.
Convert to the format you actually need
The same extraction powers every export, so you only convert once and choose the output that fits your next tool — a spreadsheet to analyse, a CSV to import, or a real bank-feed file for your accounting software.
| Format | Best for |
|---|---|
| Excel (.xlsx) | Analysis, totals, sharing — clean transaction sheet |
| CSV | Importing into any tool that takes a CSV |
| .QBO | QuickBooks Online & Desktop (Web Connect) |
| .QFX | Quicken (Web Connect) |
| .OFX | Most other accounting tools |
| Xero CSV | Xero's bank statement import |
Go straight to a format: Excel, CSV, QBO, QuickBooks, Xero.
Works with statements from any bank
Because there are no templates, you never need a different tool per bank. Below are common banks our users convert — but a statement from any other bank, credit union or neobank works exactly the same way.
US banks
Looking for a specific bank? Browse all bank converters, or jump to Revolut, Monzo, Wise or Barclays.
From PDF to clean data in three steps
1 · Upload the PDF
Drop one statement or many — digital or scanned, any bank, any number of pages.
2 · AI extracts & validates
Every transaction is read, debits/credits normalised, balances checked, weak pages retried.
3 · Review & export
Check the editable preview, then download Excel, CSV, QBO, QFX, OFX or Xero.
Want the detailed walkthrough? Read the guide on how to convert a bank statement PDF to Excel or how to extract transactions from a PDF.
Turn a year of statements into one reconciled Excel
Most converters do one file at a time. FlowParse can take up to 100 PDF statements — different months, different accounts, even different banks — and consolidate them into a single Excel workbook with one unified transaction sheet. Columns are matched to a canonical set, duplicates across overlapping statements are removed, and each row keeps a reference back to its source file.
See how accountants do it in the guide consolidate a year of bank statements in minutes.
Import straight into your accounting software
A spreadsheet is great for analysis, but if the statement needs to land in your books, FlowParse builds a real bank-feed file. The .QBO imports directly into QuickBooks with no CSV column mapping, each transaction carries a unique ID so re-imports never duplicate, and Quicken users get .QFX from the same statement.
PDF to QBO converter
Real .QBO / .QFX / .OFX — auto-imports, no mapping.
PDF to QFX converter
Quicken Web Connect file — imports directly into Quicken.
PDF to OFX converter
The universal bank-feed file for GnuCash, Sage & more.
Bank statement to QuickBooks
The full account-by-account QuickBooks workflow.
Bank statement to Xero
Xero-ready import, reconciled the way Xero expects.
Validated, not just converted
Converting a statement is only useful if the numbers are right. FlowParse checks the converted data the way a careful bookkeeper would, so errors surface before they reach your spreadsheet or your books:
Dig into how the checks work on the bank statement validation and bank reconciliation pages.
Your bank statements stay private
Bank statements are some of the most sensitive documents you own. FlowParse is built so converting one never puts it at risk.
Encrypted transfer
Every upload and download runs over TLS.
Deleted after processing
Your original PDF is removed as soon as it's converted.
EU-hosted
Processed on EU infrastructure.
No AI training
Your documents are never used to train models. GDPR-aligned.
Read the full security overview.
Who uses a bank statement converter
Accountants
Bring a backlog of client statements into Excel or QuickBooks without re-keying a year of transactions.
Bookkeepers
Catch up months of statements in minutes — upload, convert, import.
Small businesses
Get old or PDF-only statements into the books and ready for tax time.
Loan & mortgage applicants
Turn statements into a clean spreadsheet for underwriting and affordability checks.
Finance teams
Standardise statements from many banks and currencies into one format.
Anyone with a PDF statement
Skip the manual typing — convert and move on with your day.
Explore the bank statement toolkit
We will not promise you 99 % — we will show you which rows to check
Every converter in this market advertises a number: 99 %, 99.5 %, 99.8 %. None of them publishes how it was measured or on which documents — and none of them can tell you which rows fall in the remainder. That is the part you find out later, when two amounts have been glued into one, a column has slid one place to the left, and a reconciliation will not close.
Our extraction is strong. It is also not magic — and neither is anyone else’s.
Reading a PDF is not a solved problem. A layout nobody has seen before, a faded thermal receipt, a bank that marks credits in its own way — each of those can produce a row that looks perfectly ordinary and is wrong. We build hard against that, and we still refuse to sell you a number, because the number is not the thing that protects you. Knowing exactly where to look is.
What actually goes wrong when a PDF is read
These are not hypotheticals. Every one of them is a defect we have found in real documents, reproduced, and built a check for — which is precisely why we can now point at them instead of averaging them into a percentage.
| The defect | What you see in the export | What it costs |
|---|---|---|
| Two amounts glued into one | One plausible-looking figure instead of two rows | A total that is short by a whole transaction |
| A column slides one place | Dates in the description, amounts in the balance | Every row after it is wrong, and none looks wrong |
| A reference number read as the amount | “Payment 910015” booked as 831.00 | A five-figure hole on a long statement |
| A credit sign dropped | An expense recorded as income | The error is twice the amount, in the wrong direction |
| A summary box counted as bookings | “Previous balance / New balance” added as rows | Totals inflated by exactly the closing balance, twice |
| A page silently skipped | A month that is simply shorter | Nothing to see — that is what makes it the worst one |
So we built the layer that catches them
A second engine, deterministic — ours, and it runs on every document
After the AI reads the document, a separate layer re-does the document’s own arithmetic. Opening balance plus every transaction must equal the closing balance the bank printed. Each row’s running balance must follow from the one above it. Line items must sum to the invoice total. No AI, no confidence score, no guessing — these are proofs, and a document that fails one is provably misread.
It names the rows, not a percentage
When a check fails you do not get a lower score. You get row 48, row 133, row 1 902 — highlighted in place, red where a check proved the reading wrong and amber where it could not confirm it, with the column the check named brighter still. Open the Rows or JSON view, fix those, export. That is the whole loop, and it usually takes under a minute.
The document is the judge, not us
A bank statement carries its own proof: it can catch an error with no human, no reference data and no opinion from us. That is why we lead with it. Where a document genuinely cannot check itself — no running balance, no printed total — we say so, plainly, instead of letting silence imply that everything is fine.
Why the percentage is the wrong number to buy on
| Statement size | What “99 % accurate” quietly allows | What that means for you |
|---|---|---|
| 300 rows | 3 wrong rows | An afternoon — if you find them |
| 1 200 rows | 12 wrong rows | A reconciliation that will not close |
| 3 400 rows | 34 wrong rows | A six-figure error, in cases we have seen |
Money work rewards being picky
Please read the flagged rows before you export. That is not a disclaimer — it is the one step that turns a good extraction into a correct one, and we have spent our engineering effort on making it short and precisely targeted rather than on rounding a number up. Anyone can print 99 %. Telling you exactly where the other 1 % is, is the harder promise, and it is the one we are willing to make.