Extract PDF text into .xlsx; OCR for scanned documents

PDF to Excel extracts text from PDF documents and organizes it into a spreadsheet (.xlsx). This is one of the most searched document conversions — useful when you receive invoice PDFs, bank statements, or report tables and need to edit numbers in Excel.

Text-based PDFs export quickly. Scanned PDFs automatically fall back to OCR (same engine as PDF to Word) so you can recover table-like content from photos of documents. Everything runs locally — your financial PDFs never upload to a cloud server.

Input: standard PDF (.pdf). Password-protected PDFs are not supported.

Output: Excel .xlsx with one sheet named "Extracted". Text is split into rows by line breaks; columns are detected from tabs or multiple spaces. Multi-page PDFs include page separator rows.

Step 1: Upload your PDF.

Step 2: For scanned documents, enable "Use OCR" and pick the document language.

Step 3: Click Convert. OCR jobs take longer — keep the tab open.

Step 4: Download the .xlsx and open in Excel, Google Sheets, or LibreOffice.

Step 5: Review column alignment — complex tables may need manual cleanup after extraction.

This is text extraction, not perfect table reconstruction. Merged cells, nested tables, and multi-column layouts may not map cleanly to Excel columns.

For pixel-perfect table recovery from scans, desktop Adobe Acrobat or dedicated OCR software may outperform browser tools. Very large PDFs (100+ pages) with OCR can take several minutes.

Invoice reconciliation: export vendor PDF line items to Excel for matching.

Bank statements: extract transaction text from PDF exports.

Research data: convert scanned tables to spreadsheet for analysis.

Document Converter never uploads your file for conversion. Processing uses JavaScript in your browser tab — the same security boundary as editing a document offline. Closing the tab clears the in-memory copy unless you saved the output.

We may load analytics or ads when you visit the site, but those requests do not include your document bytes. For HR records, medical forms, or unreleased designs, local conversion avoids the third-party upload step that cloud converters require.

Cloud tools like Smallpdf and iLovePDF receive your file via HTTP upload, process it on their servers, and return a download link. That model is convenient for public PDFs but adds privacy and compliance risk for sensitive content.

Document Converter runs pdf-lib, PDF.js, Mammoth, SheetJS, or Tesseract.js directly in your browser. Open DevTools → Network while converting: you should see no POST containing your file. You trade server-side CPU for device-side privacy — often the right choice for personal and workplace documents.