About PdfToLedger

Every month, thousands of accountants, business owners, and finance professionals download bank statements in PDF format — and then spend hours manually copying transaction data into spreadsheets.

Bank PDFs are notoriously difficult to work with. The layout varies by bank, formatting is inconsistent, and there's no standard way to extract the data. Most tools either don't work or require expensive enterprise subscriptions.

We built PdfToLedger to solve this once and for all — a fast, accurate, free tool that works directly from your browser with no setup required.

Our team works closely with CA firms and small businesses in India. We kept hearing the same complaint: bank statement processing was eating 20–30% of accounting staff's time every month.

We started by building an internal tool using machine learning to automatically detect transaction rows in PDFs — regardless of the bank or statement format. After seeing how much time it saved, we decided to make it available to everyone for free.

PdfToLedger is our way of giving back to the community that inspired it.

Under the hood, PdfToLedger uses a trained ML model (ONNX format) to classify each row in a bank statement PDF as a transaction or non-transaction. This approach works across different bank formats without needing format-specific templates.

The PDF is parsed using positional data (x/y coordinates of each text element) so amounts, descriptions, and dates are correctly identified even when the layout varies.

All processing happens on our server and the file is immediately discarded after extraction. We never store your financial data.

We take your financial privacy seriously. Your uploaded PDF is processed in memory and discarded immediately after the transactions are extracted. We do not store, log, or retain any statement data.

If you create an account, we only store your email address and daily usage count. We never see your transactions, your account balances, or any financial information from your statements.