Turn tables inside a PDF into a clean CSV spreadsheet. Column detection runs in your browser, so bank statements and invoices never leave your device.
PDF to CSV extracts tabular data from a PDF, such as a bank statement or invoice, and converts it into a clean CSV spreadsheet file that opens directly in Excel, Google Sheets or any data analysis tool. Column detection works by measuring the horizontal spacing between text on each line, identifying where consistent gaps mark the boundary between columns.
Because parsing happens entirely in the browser, financial documents like bank statements never have to be uploaded to a server to have their tables extracted. This makes the tool a practical way to turn a PDF-only statement or invoice into structured, sortable, filterable data without manually retyping every row by hand.
Column boundaries are detected by measuring actual horizontal gaps between text runs on each line, which reliably identifies table structure in documents like statements and invoices that use consistent spacing.
Bank statements and invoices are parsed locally in the browser, so sensitive financial data never has to be uploaded to a third-party server to be converted into a spreadsheet.
Extracting a table automatically avoids retyping every row from a PDF by hand, which is both slow and prone to transcription errors on documents with many rows.
The tool measures the horizontal gaps between text runs on each line of the PDF and treats consistent, repeated gaps as column boundaries. This approach works well for tables with clear spacing, such as bank statements and structured invoices, but can struggle with tables that use very tight spacing or unusually merged cells.
Tables with merged cells, multi-line entries within a single row, or inconsistent spacing between columns can occasionally cause rows to split incorrectly. Reviewing the preview before exporting and adjusting boundaries where needed helps ensure the final CSV lines up correctly with the source document.
This tool is built specifically for structured tabular data destined for a spreadsheet, whereas PDF to Word is aimed at reconstructing prose paragraphs and headings for a document editor. Choosing the right tool for the content type gives a cleaner result than trying to force a table into a Word conversion, or paragraphs into a CSV.
The tool measures the horizontal gaps between text runs on each line and splits the row where consistent column boundaries appear, which works well for invoices, statements and reports.
Yes. The CSV opens directly in Excel, Google Sheets, Numbers or any spreadsheet app, where you can sort, filter and chart the data.
Yes. PDF to CSV on Klipza is completely free with no account, no subscription and no watermark on your files, and there is no daily usage limit.
Processing happens locally in your browser wherever technically possible, so your files are not uploaded to a server, stored or shared with third parties.
Yes. It is fully responsive and runs in any modern browser on Android, iPhone, iPad, Windows and macOS — nothing to install.