Bank Statement PDF to CSV Converter — Free Online (2026 Guide)

Why Convert Your Bank Statement PDF to CSV?

Every month your bank emails you a PDF statement. It looks neat on screen — but the moment you try to analyse your spending, track a category, or import transactions into accounting software, that PDF becomes a wall. You cannot sort it, filter it, or run a formula on it. A CSV can do all of these things.

Converting a bank statement PDF to CSV takes a manual re-entry job that used to cost an hour (or a bookkeeper's fee) and reduces it to about thirty seconds. This guide explains how the conversion works, which banks are supported, and how to get a clean, ready-to-use spreadsheet from any statement — for free.

How the Bank Statement Converter Works

When you upload a statement, the engine does three things in order:

1. Bank detection — the parser fingerprints the PDF layout (column positions, header strings, date formats) to identify which bank issued the statement.
2. Transaction extraction — it reads each line, splits it into date, description, and amount fields, and resolves credit/debit polarity.
3. CSV export — all transactions are written to a standard four-column CSV (Date, Description, Amount, Bank) and streamed directly to your browser.

For unrecognised banks, the tool falls back to a generic parser that finds any date–amount pattern in the raw text — so even obscure or regional banks usually produce a usable output.

Supported Banks (2026)

The following banks are natively supported with high-accuracy parsing:

• Singapore: DBS/POSB, OCBC, UOB, Maybank, Standard Chartered
• United States: Chase, Bank of America, Citibank, Capital One, Schwab, US Bank
• Canada: Royal Bank of Canada (RBC), Scotiabank, TD Canada Trust, BMO, CIBC, Capital One Canada, Trust
• Other: HSBC, Zürcher Kantonalbank (ZKB)

Credit card statements and debit account statements are both supported for most banks listed above.

Step-by-Step: Convert Your Bank Statement to CSV

1. Go to the Bank Statement to CSV tool on imageandpdf.com.
2. Click Select File or drag your PDF statement into the upload area. You can upload up to 10 statements at once.
3. The tool detects your bank automatically and extracts all transactions.
4. Click Download CSV — a file named with your statement name saves to your device.
5. Open in Excel, Google Sheets, or import directly into QuickBooks, YNAB, or any budgeting app.

What the Output CSV Looks Like

The exported file has four columns:

• Date — the transaction date in YYYY-MM-DD format.
• Description — the merchant name or reference text exactly as it appears on the statement.
• Amount — a signed decimal number. Debits are negative; credits are positive.
• Bank — the detected bank name (e.g. "DBS", "Chase"), useful when merging multiple statements.

Using the CSV for Budgeting and Accounting

Once you have a CSV you can immediately:

• Create a pivot table in Excel to see total spending by category or merchant.
• Import into Google Sheets and use SUMIF to budget by category.
• Upload to QuickBooks, Xero, or FreshBooks using their CSV bank-import feature.
• Feed into YNAB, Copilot, or any personal finance app that accepts CSV transactions.

Dealing with Password-Protected Statements

Many banks encrypt their PDF statements with a password (often your date of birth or account number). If your statement is password-protected, use our Unlock PDF tool to remove the restriction first, then upload the unlocked file to the converter.

Privacy and Security

Bank statements contain highly sensitive financial data. Here is exactly what happens to your file:

• Your PDF is uploaded over an encrypted HTTPS connection.
• The server processes the file in an isolated temporary directory.
• The resulting CSV is streamed directly to your browser.
• Both the original PDF and the output CSV are deleted from the server immediately after your download.
• No transaction data is stored, logged, or shared.

Troubleshooting Common Issues

The CSV has fewer rows than expected. Some statement pages use image-only rendering (scanned statements). Run it through our OCR PDF tool first to add a text layer.

The bank shows as "Unknown Bank". The generic parser will still extract most transactions — review the output for any rows that look malformed and correct them in Excel.