PDF to Excel Converter

Extract tables and data from PDF documents to Excel spreadsheets. Private, local, no uploads required.

Drop PDF with Tables

Extracts all text and table data

PDF to Excel Converter — Extract Tables Privately

Extract text and table data from PDF documents and export them to Excel (.xlsx) spreadsheets, entirely in your browser. Uses PDF.js to parse text content and groups it by position to reconstruct table rows. Your financial statements, reports, and data tables never leave your device.

Position-Based Table Reconstruction

PDF text items are extracted with their exact X/Y coordinates using PDF.js. The tool groups text by Y-position to reconstruct rows, then sorts by X-position within each row to reconstruct columns — mimicking how a human would read a table.

Multi-Page Extraction

All pages in the PDF are processed sequentially. A page break marker is inserted between pages in the Excel output so you can easily identify where each page's data begins and ends.

Sensitive Data Stays Private

Financial statements, invoices, and reports often contain highly sensitive data. This tool uses PDF.js running entirely in your browser — no file is transmitted to any server at any point during extraction.

How it Works

1

Upload your PDF file containing the tables or data you want to extract.

2

The tool uses PDF.js to parse all text content and positions from every page.

3

Click Generate Excel to reconstruct the data and create the .xlsx file.

4

The Excel file downloads with all extracted data ready for editing.

Protocol

PDF.js + SheetJS (Browser)

Data Cloud Sync

None — Zero Transmission

Residency

Browser RAM Only

Frequently Asked Questions

Q: What types of PDF tables work best?

PDFs created from structured data sources (exported from software, generated reports, financial statements) work best. Scanned PDFs where text is an image rather than selectable text cannot be extracted without OCR.

Q: Why does my extracted data look misaligned?

PDF does not have a formal table structure — text is positioned absolutely on the page. The tool uses Y-coordinate grouping to reconstruct rows, which works well for standard tables but may misalign columns in complex multi-column layouts.

Q: Can it extract data from scanned PDFs?

No. Scanned PDFs contain images of text, not actual text. PDF.js can only extract real text content. For scanned documents, OCR software is required before extraction is possible.

Q: Is the extracted data editable in Excel?

Yes. The output is a standard .xlsx file that opens in Microsoft Excel, Google Sheets, LibreOffice Calc, and any other spreadsheet application. All extracted text is fully editable.

Q: Is my PDF uploaded to your servers?

No. PDF.js reads your file locally in browser memory. XLSX writes the spreadsheet file locally. Nothing is transmitted to any server. You can verify by checking your browser's Network tab (F12) during conversion.

Q: What happens with page numbers and headers?

Page numbers, headers, and footers are extracted as text along with the main content. Use Excel's filtering or search features to locate and remove them after extraction if needed.

Privacy Guarantee

Zero Data Retention Policy

All document processing happens inside your browser sandbox using WebAssembly. No files are ever uploaded or stored.