PDF to Excel

The PDF is parsed server-side with smalot/pdfparser, which reads each page's embedded text along with the horizontal gaps between text blocks — pdfparser inserts tab characters where it detects large gaps, which is a strong signal of column boundaries in a table.

Each page becomes its own sheet in the output workbook. The tool splits each line on those tab characters to reconstruct rows and columns; if a page has at least two columns of data, it is treated as tabular and gets a styled header row (bold white text on a dark blue background) with alternating row shading and a frozen header for readability.

Pages that come back as a single column of text (no clear tabular structure) are still written to their own sheet as plain rows, so you still get every page's content even if it wasn't originally a table.

Your files are uploaded over an encrypted (SSL) connection. We don't store, read, or share the contents of your files — they're processed to generate your result and are not retained on our servers afterward.

• Pulling a table of data out of a PDF report to analyze or recalculate it in a spreadsheet.
• Converting a PDF-based invoice or statement into an editable spreadsheet for bookkeeping.
• Extracting a data table from a scanned or emailed PDF for further processing.

• Expecting perfect column/row detection from a PDF with an unusual or inconsistent table layout — tables with merged cells or irregular spacing convert less reliably than simple grid tables.
• Not checking number formatting after conversion — currency symbols, thousands separators, or negative-number formats can shift and need a quick review.

• PDFs with a clean, simple grid layout convert to Excel far more accurately than PDFs with complex multi-section tables.
• After conversion, spot-check a few known values against the original PDF before trusting the full dataset.

We respect your privacy. All files are processed securely and are never sold, shared, or used for anything beyond generating your result.