Upload your PDF and extract tables as an editable Excel spreadsheet. Works best on digitally created PDFs with clear table structure. Local processing — your data never leaves your device.
PDF to Excel conversion identifies rows, columns, and cell boundaries inside your PDF and maps them into a structured spreadsheet. It is most reliable on PDFs that were originally created from Excel or another spreadsheet application — financial reports, bank statements, inventory lists, and exported data tables. After conversion, always verify that numbers are stored as numbers rather than text strings, that date fields parse correctly in your version of Excel, and that column headers landed in row 1 where formulas expect them. A small amount of manual cleanup is normal and expected.
The converter scans each page of your PDF for text that is arranged in a grid pattern. It uses character position data embedded in the PDF's text layer to detect column boundaries — when multiple text elements share the same horizontal baseline and align vertically across rows, the tool treats them as a table.
For scanned PDFs — documents that are photographs of paper rather than digitally generated — there is no text layer to read. You need to run OCR (optical character recognition) first to add a searchable text layer, then convert to Excel. The OCR tool on this site handles this step. Once the text layer exists, the table extraction process works the same way as for digital PDFs.
Use digital PDFs where possible. A PDF exported from Excel or a financial system will convert far more accurately than a scanned paper table. The structure is already encoded in the file.
One table per page works best. If your PDF has multiple separate tables stacked on one page, the converter may merge them. Consider splitting the page first if precision matters.
Check number formats after conversion. Currency symbols, thousand separators, and parentheses used for negative numbers can sometimes be left as text. Use Excel's Format Cells dialog or the VALUE() function to convert them.
For sensitive financial data, the local processing model here is especially important — account numbers, transaction records, and balance sheet figures never leave your machine, unlike cloud conversion services that upload your document to a remote server.
Bank statements. Many banks export statements as PDFs. Converting to Excel lets you sort by amount, build pivot tables, or import into accounting software.
Supplier price lists. Vendors frequently send catalogues as PDFs. Extracting to Excel makes it easy to compare prices across suppliers in a single sheet.
Research data tables. Academic papers and government reports publish data in PDF tables. Excel extraction lets you run further analysis without re-entering data manually.
Historical records. Old reports archived as PDFs can be converted and consolidated into a single workbook for trend analysis.
Does this work on scanned PDFs?
Scanned PDFs contain images rather than text, so direct table extraction is not possible. Use the OCR tool first to add a text layer to your scanned PDF, then re-upload the result here for Excel conversion.
Will my financial data be uploaded anywhere?
No. All processing runs entirely inside your browser. Your PDF file is read locally by JavaScript on your device. No data is transmitted to any server at any point. You can verify this by opening your browser's Network tab (F12) and confirming no file upload requests appear.
Why does the output have merged cells or shifted columns?
Complex table layouts — multi-level headers, merged cells, or tables with uneven column widths — can confuse the column-detection logic. This is a known limitation of text-position-based extraction. Manual adjustment in Excel after conversion is the most reliable fix for highly formatted tables.
What file format does the output use?
The converted file is downloaded as a .xlsx file, compatible with Microsoft Excel 2010 and later, Google Sheets, LibreOffice Calc, and Numbers on Mac.
Can I convert a multi-page PDF with tables on every page?
Yes. The tool processes all pages in the PDF and outputs each page's table content into the spreadsheet. Tables from consecutive pages are appended in order.
Rifix PDF to Excel extracts tabular data from your PDF and converts it into an editable Microsoft Excel spreadsheet (.xlsx) — entirely in your browser with no file upload, no server processing, and no account needed. Perfect for extracting financial data, invoices, price lists, inventory tables, and report data from PDF documents.
Many PDFs contain data that originated in a spreadsheet — bank statements, invoices, sales reports — but was exported to PDF and is now locked. Rifix reverses this by detecting table structures and cell boundaries, then outputting the data as an editable .xlsx file you can open in Microsoft Excel, Google Sheets, or LibreOffice Calc.
Upload your PDF — Open or drag in a PDF that contains tables or structured data.
Click Convert to Excel — Rifix analyses the page layout and extracts table data into rows and columns.
Download your XLSX — Open in Excel or Google Sheets and work with your data immediately.
Rifix works best on PDFs where the table was generated digitally (e.g. exported from Excel or accounting software). Scanned tables in image-only PDFs require OCR first — use Rifix OCR to make the text extractable, then convert.
For well-structured tables with clear column boundaries, alignment is preserved accurately. Complex merged cells or decorative table designs may require minor cleanup in Excel after conversion.
Yes. Completely free, with no account, no subscription, and no watermarks on the output file.
No upload occurs at any point. All extraction runs inside your browser. Your financial or business data never reaches any server.
Rifix processes all pages and places the extracted data sequentially in the spreadsheet. You can then use Excel's filtering and sorting to organise the data as needed.