Turn PDF, scanned and photographed bank and credit card statements into structured transaction data. Date, description, amount and running balance on every row, exported as OFX, CSV or Excel, with up to 50 files per batch on the Plus plan.
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Bank statement extraction software reads a bank or credit card statement and converts every transaction into structured data: date, description, amount, and running balance. It accepts PDF, scanned, and photographed statements and exports a file your accounting system can import, such as OFX, CSV, or Excel. The work it removes is manual typing; the step it does not remove is checking the extracted totals against the statement before you import.
Statements are laid out for a human reading one page at a time. The moment the volume rises, or the documents are scans rather than downloads, hand keying stops being merely slow and starts being a source of errors nobody catches until reconciliation.
A PDF statement has no table underneath it. Columns are visual positions, descriptions wrap across lines, and copy and paste produces a jumble that takes longer to clean than to retype.
Archived and paper statements arrive as scans or phone photos. There is no text to copy at all, so character recognition is the only route and image quality decides the result.
Credit card statements list payments and purchases in ways that make direction ambiguous. A dropped minus sign turns a debit into a credit and the balance does not tie.
One statement is a coffee break. Four accounts across fourteen months is more than fifty documents, and at that point the per document handling time is the entire cost of the job.
Formats without a unique transaction identifier let you load the same month twice without warning. The register looks plausible and the balance is quietly wrong.
Template based tools break whenever a bank redesigns its statement. Anything built around a fixed layout per institution needs constant maintenance to keep working.
The aim is structured, verifiable transaction data rather than a best guess, so every exported row can be traced back to the statement it came from.
PDF, JPG, PNG, BMP, HEIC, TIFF and TXT, up to 50 MB per file, so archived paper statements are handled alongside clean digital downloads.
Transactions are found by reading the structure of the page rather than matching a saved template per bank, so a redesigned statement does not break the extraction.
Date, description, amount and running balance on every row, which is what lets you tie an extracted month back to the printed statement balance.
Up to 50 files in one batch on the Plus plan, with an option to merge several documents into a single extraction so a year of one account becomes one file.
OFX when the file will be imported and must not duplicate, CSV or Excel when the data needs review and categorization first.
Submit documents and retrieve extracted transactions programmatically when extraction belongs inside your own product or internal workflow.
One account at a time, verified against the statement before anything is imported.
Drop in PDF, scanned or photographed statements. On the Plus plan you can load up to 50 files at once and merge documents that belong to the same account.
Tip: Remove any PDF password first, since an encrypted file cannot be read.
Each transaction is extracted with its date, description, amount and running balance, including from image based statements.
Tip: For phone photos, shoot flat and straight on with even lighting.
Compare the transaction count and the total deposits and withdrawals against the summary the bank prints on the statement.
Tip: If the totals tie, the detail almost always ties too. This takes under a minute.
Choose OFX for a clean import that will not duplicate, or CSV and Excel when you want to review and categorize before importing.
Tip: Export one file per account rather than one per document.
The common thread is document volume and a destination system that needs structured transactions rather than a PDF.
Processing client statements every month, often across several banks and card issuers, where the per document handling time sets the margin on the engagement.
Rebuilding a period from statements when the books are incomplete and the return cannot be prepared without the underlying transactions.
Loading historical activity into an accounting or ERP system where the bank feed does not reach back far enough to cover the period being closed.
Embedding extraction in an existing platform through the API so client documents become transaction data without a manual upload step.
Bank statement extraction software reads a bank or credit card statement and turns each transaction into structured data: the date, the description or payee, the amount, and usually the running balance. The output is a file your accounting system can import, such as OFX, CSV, or Excel. The point is to replace manual typing on documents that were designed to be read by people rather than parsed by machines.
The category covers a wide range of tools. Some are aimed at lenders who need cash flow analytics on a borrower. Some are aimed at accounting firms processing client documents at volume. Some, like this one, are focused on producing a clean, import ready file for a specific set of destinations. Knowing which problem a tool was built for matters more than any feature list, because they price and behave very differently.
Upload the statement, let the software read it, check the extracted transactions against the printed totals on the statement, then export in the format your accounting software expects. The verification step is the one people skip and the one that catches problems. Compare the number of transactions and the total deposits and withdrawals against the summary box the bank prints, because if those tie, the detail almost always ties too.
Work one account at a time. A statement that covers two accounts, or a household statement combining checking and savings, should be extracted and exported per account, otherwise the running balance in your register will jump in ways that are painful to unwind later.
| What you are extracting from | What usually goes wrong | What actually fixes it |
|---|---|---|
| Digital PDF from online banking | Multi line descriptions collapse into one row, or a wrapped payee splits across two | Layout aware extraction that groups rows by their date and amount columns rather than by text line |
| Scanned paper statement | OCR misreads 8 as 3, or drops a leading minus sign so a debit becomes a credit | Checking the extracted totals against the printed deposits and withdrawals summary before you import |
| Phone photo of a statement | Skew, shadow and curl across the page make whole columns unreadable | A flat, evenly lit, straight on capture. This single change fixes most failed image extractions |
| Credit card statement | Payments and purchases carry the same sign, so the balance never ties | Signed amounts on export, then confirm the closing balance matches the statement |
| Multi account or combined statement | Two accounts merge into one register and the running balance jumps | Extract per account and export one file per account rather than one per document |
Most failed extractions come down to image quality or an unexpected document rather than an unsupported bank. The common causes, roughly in order: a photo taken at an angle or in poor light, a password protected PDF that was never unlocked, a scan at too low a resolution, a file that is actually a transaction search export rather than a statement, and a statement so long that only part of it was uploaded.
Two practical fixes solve most of it. First, if the source is paper, scan it flat rather than photographing it, and if you must use a phone, shoot straight on with even light and no shadow across the page. Second, if the PDF opens only after you type a password, remove the password and re upload, because an encrypted file cannot be read at all. If a specific statement still will not extract cleanly, the fastest path is to send it to support rather than retrying the same file.
Yes for clean digital PDFs, and well but not perfectly for scans and photos. Accuracy on a text based PDF is high because the characters are already in the file and the work is layout interpretation rather than character recognition. On a scanned or photographed page the software has to recognize the characters first, and that is where errors enter, most often in digits that look alike and in minus signs that sit close to a column edge.
This is why any honest workflow includes a check rather than a promise of perfection. Extraction removes the typing, not the review. Reconciling the extracted totals to the statement summary takes under a minute per statement and it is the difference between a file you can trust and one you find out about at year end.
Ignore the feature grids for a moment and compare on the two things that decide cost and fit: what unit the tool bills, and what file it hands you at the end. The billing unit is the one buyers consistently get wrong. Tools in this category meter in genuinely different ways, and the same workload can differ several fold in price depending on which one you pick.
Per page pricing rewards short statements and punishes long ones. Per conversion pricing does the opposite: a sixty page statement costs the same as a two page one. Credit based pricing needs reading carefully, because bank statements often consume more credits per page than an invoice does. As a rule of thumb, per conversion pricing starts to win at roughly ten pages per statement, and per page pricing wins below that. The bank statement converter comparison works through the actual numbers for DocuClipper, MoneyThumb and AutoEntry alongside this tool.
The second question is the output. A tool that produces a beautiful spreadsheet is no help if your destination needs OFX, and a tool that produces OFX is no help if you need to review and recategorize before anything is imported. Match the export to the destination first, then compare price.
Yes. If you are embedding extraction in your own product or pipeline rather than uploading files by hand, the API documentation covers authenticating, submitting a document, and retrieving the extracted transactions. The typical use is a firm or platform that already receives client documents and wants the transaction data to appear in its own system without anyone opening a browser.
It reads PDF, JPG, PNG, BMP, HEIC, TIFF and TXT files, so scanned and photographed statements are supported alongside clean digital downloads. Each file can be up to 50 MB, and on the Plus plan you can load up to 50 files in a single batch, with an option to merge several files into one extraction when twelve monthly PDFs belong to the same account. Exports are OFX, CSV and Excel on paid plans.
Two limits are worth stating plainly, because they save people a wasted trial. It does not accept CSV or Excel as an input: the input is the statement document itself. And it does not produce QBO, QFX or QIF files. A genuine QBO or QFX carries a bank issued INTU.BID identifier that no third party is able to mint, which is why renaming an OFX file to .qfx always fails in Quicken. If Quicken is your destination, the route that works is CSV, through File then File Import then Banking Transactions then From (.CSV) File, and it is worth knowing that a Quicken CSV import does not check for or match existing transactions, so an overlapping reimport will double the period.
For higher volume work, the bulk bank statement converter page covers batching in more detail, and if you are rebuilding a period rather than processing current months, the bookkeeping cleanup converter covers the catch up workflow. Scanned source documents specifically are covered on the scanned bank statement to OFX page.
It is software that reads a bank or credit card statement and converts each transaction into structured data: date, description, amount, and running balance. The output is a file your accounting system can import, typically OFX, CSV, or Excel. It exists because statements are laid out to be read by people, not parsed by machines, so the data is not directly usable without either manual typing or extraction.
Upload the statement, let the software read the transactions, check the extracted totals against the deposits and withdrawals summary printed on the statement, then export in the format your accounting software expects. Work one account at a time and export one file per account, because combining accounts in a single file makes the running balance jump.
Yes. It accepts PDF, JPG, PNG, BMP, HEIC, TIFF and TXT files, so scans and phone photos are supported as well as digital downloads. Image quality is the main factor in the result. A flat, evenly lit, straight on capture extracts far more reliably than a photo taken at an angle or in shadow.
Usually image quality or an unexpected file rather than an unsupported bank. The frequent causes are a photo shot at an angle or in poor light, a password protected PDF that was never unlocked, a low resolution scan, or a file that is a transaction search export rather than an actual statement. Remove the PDF password and rescan flat, and most failures resolve.
OFX, CSV and Excel on paid plans. QuickBooks Desktop Web Connect is not a target, because it reads only a QBO file issued by the bank. Choose OFX when the file will be imported into accounting software and might overlap a period, because OFX gives each transaction a FITID that lets the software recognize and reject a duplicate. CSV and Excel carry no such identifier.
No. A genuine QFX, also called Quicken Web Connect, carries a bank issued INTU.BID identifier that no third party is able to create, so renaming an OFX file to .qfx will always fail. Quicken cannot import OFX either. The route into Quicken that does work is CSV, through File then File Import then Banking Transactions then From (.CSV) File.
No. The input is the statement document itself: PDF or an image. CSV and Excel are output formats here, not input formats. If you already have the transactions in a spreadsheet, the extraction step has already been done and what you need is an import or conversion tool rather than extraction.
Up to 50 files in a single batch on the Plus plan, each up to 50 MB. There is also a merge option that treats several files as one extraction, which is useful when a year of monthly PDFs belongs to the same account and you want one output file per account rather than one per month.
Yes. Documents can be submitted and extracted transactions retrieved programmatically, which suits firms and platforms that already receive client documents and want the data to land in their own system. The API documentation covers authentication, submitting a document, and retrieving results.
High on text based PDFs, where the characters already exist in the file and the task is interpreting the layout. Lower on scans and photos, where characters have to be recognized first and errors cluster in similar looking digits and in minus signs near a column edge. Checking the extracted totals against the printed statement summary catches these in under a minute per statement.
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| Base AI Faster | 2,500 pages |
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Scale statement conversion with bulk upload, custom templates and reports.
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Enterprise-grade bank statement conversion and controls.
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