Why convert a PDF to CSV instead of retyping the figures?
A table trapped inside a PDF is readable but unusable as-is: you cannot sort it, filter it or drop a formula into it. Copying the values by hand is slow and error-prone, especially on statements, invoices or long exported lists. Converting a PDF to CSV hands you a raw data file where every row and every column is ready to work with straight away.
CSV is a universal format: once your data is out, you open it in Excel or Google Sheets to total figures, compare series or build a chart, and you import it just as easily into a database, an accounting package or an analytics tool. Extracting a table from a PDF this way spares you any retyping and keeps the numbers faithful to the source.
How columns are detected (and the scanned-PDF case)
Detection relies on how the text is laid out: fields separated by two or more spaces, or by a tab, are read as separate columns. In other words, a cleanly aligned table gives the best results, whereas an uneven layout can merge columns and call for a little cleanup in your spreadsheet.
An honest note: a scanned or photographed PDF is only an image, with no real text to split into columns. Run it through the ocr tool first, which rebuilds actual text, before starting the extraction. If you want prose rather than data, the pdf-to-word tool is a better fit, and the convert tool gathers the other output formats. On privacy, pdfOutils stays privacy-first: your files are deleted automatically after processing and no sign-up is required.