Bank Statement Converter
Paste text from any bank statement PDF and convert it to CSV, Excel, JSON, QIF or OFX. No file upload, no signup. Your data never leaves your browser.
Copy text from your PDF bank statement and paste it above. The converter will find dates and amounts automatically. Supports most US and international date formats.
Comma-separated values for Excel and Google Sheets
Summary
Paste statement text to begin
Export Formats
100% Private
All processing happens locally in your browser. No data is uploaded, stored or shared with anyone. Works offline after the page loads.
5 Export Formats
CSV for spreadsheets, TSV for Excel paste, JSON for developers, QIF for Quicken and OFX for QuickBooks and banking software.
Auto-Detection
Automatically finds dates, amounts, descriptions and balances from pasted text. Supports 6 common date formats used by US and international banks.
How to Convert a Bank Statement
Output Format Comparison
| Format | Best For | Opens In | Includes Metadata |
|---|---|---|---|
| CSV | General analysis, sharing | Excel, Google Sheets, Numbers | No |
| TSV (Excel) | Direct paste into Excel | Excel, LibreOffice | No |
| JSON | Developer tools, APIs | Any text editor, code | Structured |
| QIF | Quicken, QuickBooks imports | Quicken, QuickBooks, Mint | Basic |
| OFX | Banking software imports | QuickBooks, MS Money, banks | Full |
Why Convert Bank Statements to CSV or Excel?
The Problem with PDF Bank Statements
Banks deliver monthly statements as PDF files. That is great for reading and printing, but terrible for analysis. You cannot sort transactions, filter by category, search across multiple months, or import the data into accounting software without first converting it to a structured format like CSV or Excel.
Manually retyping transactions from a PDF into a spreadsheet is slow and error-prone. A single bank statement might have 30 to 100 transactions. Multiply that by 12 months and you are looking at hundreds of lines of data entry. A converter tool eliminates that work entirely.
Who Needs This Tool
Small business owners use it to import transactions into QuickBooks or Xero for bookkeeping. Freelancers convert statements to track deductible expenses at tax time. Accountants process client statements faster. Students analyze spending habits. Anyone who needs bank data in a spreadsheet benefits from automated conversion.
How the Parsing Works
The converter scans each line of pasted text looking for a date pattern (like 01/15/2026 or 2026-01-15) followed by a dollar amount (like $47.99 or -$142.30). When it finds both on the same line, it extracts the date, everything between the date and the amount as the description, the amount itself, and any trailing balance figure.
Negative amounts or amounts preceded by a minus sign are classified as debits. Positive amounts are credits. If the line has two dollar amounts, the first is typically the transaction amount and the second is the running balance.
Privacy and Security
Financial data is sensitive. This tool processes everything locally in your browser using JavaScript. When you paste your statement text, the parsing happens on your own computer. Nothing is sent over the internet. No cookies track your data. No server stores your transactions. You can verify this by opening your browser's developer tools and watching the network tab while using the converter. You will see zero outgoing requests.
Tips for Better Results
- Open the PDF in Chrome or Adobe Acrobat for the cleanest text selection.
- Use Ctrl+A to select all text before copying. Partial selections may cut off amounts.
- If transactions span multiple lines (wrapped descriptions), try joining them on one line.
- Remove header and footer text (page numbers, bank logos) from the pasted content if they cause false matches.
- For scanned PDF statements (image-based), use an OCR tool first to extract the text, then paste the result here.
Importing into Accounting Software
For QuickBooks Desktop, use the QIF format and import through File then Import. For QuickBooks Online, CSV works best through the Banking tab. For Quicken, QIF is the native format. For Xero, use CSV with columns mapped to Date, Description and Amount. For Wave, use CSV. Each platform has a slightly different import wizard, but the data structure from this converter matches what they expect.