Turn any PDF bank statement into a clean CSV file your accounting software can import. Upload the statement and OFXStatement writes every transaction to comma-separated rows with date, description, debit, credit, and balance columns. Start free, no credit card.
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To convert a PDF bank statement to CSV, upload it to OFXStatement and download a clean comma-separated file with one transaction per row and columns for date, description, debit, credit, and running balance. CSV is the format almost every accounting program imports, so the file drops straight into QuickBooks, Xero, Wave, YNAB, or NetSuite with no copy and paste. It reads digital PDFs, scanned statements, and phone photos from more than 90 US banks, and a typical statement finishes in under a minute.
Accounting software imports CSV files, not PDFs. A PDF locks your transactions inside a fixed page layout, and even when you do get a CSV out of your bank, it rarely matches what the importer expects. Here is what usually blocks the import.
QuickBooks, Xero, Wave, and NetSuite import CSV or bank-feed files, never a PDF, so the statement has to be converted to delimited rows before it will load.
Most online banking exports only reach back 90 days to about 18 months, so for older or closed periods the PDF statement is the only source you have.
Importers expect specific headers in a specific order. A raw export with merged or extra columns fails validation until you remap every field.
Some programs want a single signed amount column and others want separate debit and credit columns, and a PDF gives you neither cleanly.
Stray dollar signs, thousands commas, and ambiguous date formats break a CSV import, and a copy-paste from a PDF carries all of them through.
A CSV saved with the wrong delimiter or encoding opens as one jammed column in Excel and imports as garbage, so the file has to be built correctly from the start.
Upload the PDF and the converter reads the transaction table directly, then writes a clean, UTF-8 CSV with the column layout accounting software expects, ready to import without cleanup.
A properly delimited, UTF-8 CSV with one transaction per row, so it loads into QuickBooks, Xero, Wave, and NetSuite without a one-column mess.
Date, description, debit, credit, and running balance arrive in their own columns, so mapping them to any import template takes seconds.
Each row keeps the date, description and amount columns exactly as the statement prints them, with the header row on top, so you map them once and import.
OCR pulls transactions from scanned PDFs and phone photos in JPG, PNG, HEIC, and TIFF, not just digital PDFs.
AI extraction reads the statement as Chase, Bank of America, Wells Fargo or a small local bank printed it, with no per-bank template.
256-bit encryption in transit and you can delete your uploaded files whenever you want.
No software to install and no credit card to start.
Drag your PDF, scanned statement, or photo into the box above. Password-protected PDFs work too.
Tip: Multi-page and multi-month files are fine.
The AI reads every transaction and builds clean, comma-separated rows automatically.
Tip: Most statements finish in under a minute.
Save the CSV and import it into QuickBooks, Xero, Wave, or any spreadsheet.
Tip: Columns are ready to map out of the box.
CSV is the workhorse format for getting transactions into accounting software, so it fits anyone who closes books or files imports.
Import a stack of client PDFs into QuickBooks or Xero without typing a single transaction.
Build catch-up and cleanup files for clients whose bank feeds skip older periods.
Load your own transactions into accounting software for budgeting and reporting.
Feed clean CSV into NetSuite, a data warehouse, or a custom import script.
The output is a plain text CSV, one transaction per row, with the columns an importer expects: date, description, debit, credit, and running balance. Because it is comma-separated and saved as UTF-8, it opens cleanly in Excel, Google Sheets, or Numbers and loads into accounting software without turning into a single jammed column. If you would rather keep formatting and formulas, the same conversion also exports to Excel, so you are never locked into one format.
Every program has its own import path and column rules. The converter gives you clean rows you can map to any of them; here is where each one accepts a CSV and what it looks for.
| Program | Where to import a CSV | What it expects |
|---|---|---|
| QuickBooks Online | Transactions, then Bank transactions, then Upload from file | Date, description, and amount (one or two columns) |
| Xero | Accounting, then Bank accounts, then Import a statement | Date, amount, payee, with a mapped header row |
| Wave | Accounting, then Transactions, then Upload a bank statement | Date, description, amount; works best in batches |
| NetSuite | Bank statement import or CSV import assistant | One account per file, UTF-8, mapped fields |
| YNAB | Account, then File-based import | Date, Payee, and Amount (or Outflow/Inflow) |
For step-by-step import walkthroughs, see how to convert a PDF bank statement into QuickBooks and import bank statements into Xero. Importing into a specific program? The NetSuite, Wave, Xero, and Quicken converter pages cover each one's exact CSV requirements.
Both come from the same conversion, so pick the one your next step needs. Choose CSV when you are importing into accounting software, loading a database, or handing the file to a script, because almost every program reads it. Choose Excel (XLSX) when you want to open the file by hand, keep number formatting, or build pivot tables and charts. If your destination is a spreadsheet rather than software, the PDF bank statement to Excel converter produces the same clean rows as a formatted workbook.
Most failed imports come down to three things, and the converter handles all of them so you do not have to. First, a CSV that opens as one column in Excel is almost always a delimiter or encoding problem; OFXStatement writes a standard comma-delimited, UTF-8 file, but if you hit it on a bank export, our guide on why a bank statement will not import covers the encoding fix. Second, dates that import in the wrong order break reconciliation. The CSV keeps each date exactly as the statement prints it, which for US banks is month first, so set your importer to that order; if you want dates in one fixed format regardless of the statement, export OFX, which writes every date as YYYYMMDD. Third, pick Transactions only before you convert, so the file holds just the transaction table under one header row and nothing above it for the importer to trip on.
The converter is tuned to the layouts US banks actually print, so dates, debit and credit columns, and balances land where the importer expects them. If you bank with one of the big names, start from its dedicated page: Chase bank statement converter, Bank of America, or Wells Fargo. For a wider look at accuracy and price across tools, see the guide to the best bank statement converter software, and if you only need the general tool, the bank statement converter handles every format from one upload.
A CSV is usually a step on the way to your books, not the finish line. If you run QuickBooks Desktop, you can turn the file into a native import with a CSV to QBO converter, or skip the spreadsheet entirely and convert the statement straight to a QuickBooks bank statement file. For any non-bank PDF you need as a spreadsheet, a general PDF to Excel converter does the same job for reports and tables.
Drag your PDF into the upload box at the top of this page, let the AI extract every transaction, then download the result as CSV. The whole process takes under a minute for a typical statement, and the file is comma-separated with date, description, debit, credit, and balance columns ready to import into accounting software.
Yes. Convert the PDF to CSV here, then upload it in QuickBooks Online under Transactions, Bank transactions, Upload from file. The CSV arrives with clean date, description, and amount columns, so QuickBooks can map the fields without the manual cleanup a raw PDF or copy-paste would need.
A bank statement CSV should be a comma-delimited, UTF-8 text file with a header row and one transaction per line: date, description, and either a single amount column or separate debit and credit columns. Dates work best as MM/DD/YYYY and amounts as plain numbers with no dollar signs or commas. OFXStatement writes the file in exactly this shape.
Yes. The converter outputs separate debit and credit columns along with a running balance, which is the layout most US importers and accountants expect. If your software wants a single signed amount column instead, the columns are clean enough to combine in seconds before you import.
A CSV that opens as one jammed column is almost always saved with the wrong delimiter or character encoding. OFXStatement writes a standard comma-delimited, UTF-8 file that opens cleanly, but if you run into it on a bank export, use Excel's Data, then From Text/CSV import and pick comma as the delimiter to split the columns back out.
Yes. A scanned or photographed statement is an image with no copyable text, so OFXStatement uses OCR to read the transactions instead. Upload the scan as a PDF, JPG, PNG, HEIC, or TIFF and you get the same clean CSV output as you would from a digital PDF.
You can start converting on OFXStatement free with no credit card, which is enough to test the CSV on a real statement before you commit. Free browser tools exist, but they often break the columns or save a malformed file that will not import, so always check the output against your statement first.
Yes. Upload a whole year of statements or several accounts in one go and OFXStatement converts them together. That makes it practical for bookkeepers loading several clients into QuickBooks or Xero and for anyone pulling 12 or 24 months of history into one import.
OFXStatement protects every upload with 256-bit encryption in transit and lets you delete your files at any time. Before sending a financial document to any converter, confirm it encrypts uploads and gives you control over deletion, and avoid tools that are vague about how long they keep your data.
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Built for high-volume bookkeeping work.
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