Open a text-based PDF — a bank statement, price list or report — and the converter lines up the text into rows and columns, ready to download as an Excel file.
Re-typing data out of PDFs is exactly the kind of work AI now does well. Pyalm builds document-processing pipelines that read invoices, statements and forms and push the data straight into your systems.
Bank statements, supplier price lists and system reports often arrive as PDFs. The converter reads where every piece of text sits on the page, groups text on the same line into rows, and splits columns wherever there is a consistent gap — giving you a spreadsheet you can sort, filter and total.
Use one worksheet per page for long statements, then delete header and footer rows in Excel. Numbers are converted to real numeric cells where they look like numbers (including 1,234.50 style), so formulas work straight away.
📖 Read the full guide: How to Convert PDF to Excel (Bank Statements, Price Lists and Reports)
Upload a bank CSV, map the columns, and download a clean Excel-ready file — nothing uploaded.
Convert an Excel or CSV sheet into a clean, printable PDF table.
Convert a PDF into an editable Word (.docx) document — text, paragraphs and page breaks.
No. Every PDF tool on Pyalm runs entirely in your browser using JavaScript — your files are read, processed and saved on your own device and are never sent to us or anyone else. That makes them safe for contracts, invoices and ID documents.
No. Scans are images with no text to extract. You need OCR first — or talk to us about AI document extraction, which reads scans and photos too.
Column detection is based on the gaps between text. Very tight or ragged columns can merge, and long wrapped text can split. Adjust the column gap setting and convert again.
Yes — that is one of the most common uses. For ongoing bank reconciliation, Pyalm Books imports bank statement files directly.