Extract Data from Multiple PDF Files to Excel

Turn each PDF table into a real .xlsx in your browser—scans included—then combine the results fast.

AI extraction can contain errors. Verify the output against the source document before using it for accounting, reporting or any decision.

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AI Table Extraction

Text PDFs are parsed on our server; scans are read by GPT-5 vision

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Excel, CSV, Word, PowerPoint

One result, any format from the Download menu: .xlsx, .csv, .docx, .pptx

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Statements → QuickBooks, Xero

Bank and card statements export to .qbo, .ofx and import-ready CSV for QuickBooks and Xero

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No Registration

3 files a day free, files deleted right after processing. Pro: $9/mo, no daily limit

Short answer: Use PDF2XLS to turn each PDF—native or scanned—into a clean .xlsx, then combine sheets in Excel. It’s free for 3 files per day, up to 10 MB each, no signup. We don’t do batch; upload one file at a time. Tables, rows, columns, and numbers are preserved.

  • Free tier: 3 files/day, no signup
  • File size: up to 10 MB per file
  • Output: .xlsx (Excel, Google Sheets, Numbers, LibreOffice)
  • Scans/photos: handled automatically (GPT‑5 vision)
  • Batch: one file at a time (no bulk mode)
  • Privacy: processed via OpenAI API and deleted immediately

How do I move tables from many PDFs into one Excel file?

You convert each PDF to .xlsx on this page, then merge the results in Excel. It’s quick for a handful of files and keeps numbers as numbers so you can total, filter, and pivot immediately.

Step-by-step: convert several PDFs and combine them

  1. Upload the first PDF. Drop it into the widget above. PDF2XLS detects tables (including scans) and prepares a .xlsx.
  2. Download the .xlsx. Open it in Excel; you’ll see the table with rows/columns preserved. Fonts, colors, logos, and headers/footers are not carried over.
  3. Repeat for each PDF. Upload the next file. The free tier covers 3 files per day; larger batches require doing them over multiple days or using a desktop batch tool (see below).
  4. Build a master workbook. In Excel, open a new workbook. Right‑click a sheet tab in each converted file > Move or Copy > choose the master workbook > Copy. Or use Data > Get Data > From Workbook to append tables.
  5. Save and analyze. Name your master .xlsx and start your pivots, filters, and SUMs. If you need CSV afterward, convert here first, then export—see PDF to CSV online.

If your PDFs are scans, what changes?

Nothing to toggle—scans and photos go through the same pipeline. You’ll still get an .xlsx table. After opening it, check column breaks and totals, because stamps, stamps/handwriting, or skewed photos can confuse separators. For deeper scan tips, see OCR for scanned PDFs.

Can I do this without PDF2XLS?

Yes, and sometimes it’s better: - Excel’s Get Data > From PDF (Microsoft 365 desktop): Convenient for native (text) PDFs and multi‑table selection. It often fails on scans and complex layouts. Requires a supported Excel version. - Copy–paste from a PDF viewer: Fast for one small table when columns stay aligned. Breaks easily; usually lands in one column. - Google Docs route (Open as Google Doc): Extracts text, not reliable for columns; useful if you only need rough text for cleanup. If your end goal is Sheets, use this page first, then import the .xlsx—see PDF to Google Sheets. - Offline batch tools (Tabula/Camelot, desktop OCR): Good when documents cannot leave your network or you need true batch. Note: Tabula/Camelot work best on native PDFs and don’t OCR by themselves; scanned PDFs need a separate OCR step.

What should I check before trusting the merged workbook?

Open the master file and spot‑check: - Column alignment: Are multi‑line descriptions kept within one cell or split correctly across columns? - Numbers as numbers: Do sums work? If not, select the column and use Data > Text to Columns (Finish) or multiply by 1 to coerce. - Dates: Confirm the expected format (MM/DD/YYYY vs DD/MM/YYYY) and consistent parsing. - Negatives: Parentheses or minus signs should be recognized; reformat if they imported as text. - Multi‑page tables: Ensure page header rows didn’t slip into the data; delete any repeated header lines.

How do I handle genuinely big batches?

PDF2XLS processes one file at a time and caps free use at 3 files/day with a 10 MB limit per file. For 50–200 files today, consider a desktop tool that supports batch export or a Python flow with OCR for scans. If your batch can wait, run a few per day here and append into one workbook.

Will this work for invoices or statements?

Yes—tables from invoices, bank statements, and similar documents convert well. Invoices often have multi‑line items and tax boxes; see our checklist in PDF Invoice to Excel before posting numbers. Ready when you are—upload the next file above to convert your PDFs and keep adding sheets to your master workbook.

FAQ

Not inside PDF2XLS. Convert each PDF to .xlsx, then in Excel use Move or Copy to bring sheets into a master file, or use Data > Get Data > From Workbook and append the tables into one sheet.

No. PDF2XLS converts one file at a time. For true batch workflows, use a desktop tool with bulk export or a scriptable library. If timing isn’t urgent, convert a few per day and append them in Excel.

Up to 10 MB per PDF, one file at a time. The free tier allows 3 files per day without signup. Larger volumes require spreading work across days or using an offline batch tool.

Yes. Scans go through the same pipeline—no OCR toggle needed. After conversion, verify column splits and totals, as stamps or skewed captures can add noise that needs a quick cleanup.

Files are processed via the OpenAI API for table recognition and deleted immediately after conversion. We do not keep your documents. If you require local-only processing, use an offline tool instead.

PDFs vary in how they encode digits and separators. If a sum won’t compute, coerce the column: Data > Text to Columns (Finish), or paste special and multiply by 1. Also check decimal and thousands separators.