ExtractFoxConvert PDF to clean Excel data
Upload a PDF, choose its document type or describe the fields you need, and download structured data as a clean .xlsx file. Scanned PDFs, multi-page tables, invoices, bank statements, reports, and forms are supported.
What should we pull from this pdf?
Or pick specific fields
Or describe it yourself
Your document is processed, not collected
ExtractFox processes the file with its secure AI extraction engine, does not persist the document on its servers, and does not use your document or result to train AI models. Data is encrypted in transit with TLS.
Why this matters
A PDF converted straight to Excel usually lands as merged cells, wrapped text, and numbers stored as strings — so SUM() returns 0 and a pivot table won't group anything. ExtractFox writes numbers as real numeric values, dates in a consistent format, and puts document-level metadata (vendor, dates, IDs) on its own header row instead of repeating it into every line — so the file works in a pivot table the moment it opens, not after twenty minutes of Text-to-Columns.
How it works
- Step 1Upload your PDF
Any PDF up to 20 MB, including scans and multi-page docs.
- Step 2Pick a template or describe the data
Use a prebuilt schema (invoice, statement, contract, etc.) or type a free-text request like 'pull every line item where amount is over $500'.
- Step 3Download as Excel
Tabular data lands in rows as real numbers, not text — document-level metadata sits in a header strip on a second sheet, ready for a pivot table.
Common use cases
Sample output
Example: a bank statement extracted with a running balance Excel can actually sum
date | description | amount | balance -----------|---------------------|---------|-------- 2026-04-01 | Opening balance | 0.00 | 1240.55 2026-04-03 | Vendor payment Acme | -178.00 | 1062.55 2026-04-07 | Client deposit | 500.00 | 1562.55
Frequently asked questions
How do I convert a PDF to Excel?+
Upload the PDF on this page, choose a document type or describe the rows and fields you want, then click Extract. Review the structured result and download it as an .xlsx file.
Does this work for scanned PDFs?+
Yes. Scanned PDFs and image-based PDFs both work — the underlying model handles OCR end-to-end.
How is this different from Adobe Acrobat or Smallpdf 'Export to Excel'?+
Acrobat and similar tools convert text positions to cells, which produces merged cells and text-formatted numbers on anything that isn't a perfect grid. ExtractFox extracts the fields you actually care about as typed values, regardless of the source layout.
Can I automate this — extract data from PDF to Excel automatically?+
On the paid plan, hit the REST API with a PDF, get JSON or .xlsx back. Wire it to a folder watcher, an email inbox, or a Zap.
What about multi-page PDFs with tables that span pages?+
Tables that wrap across pages are stitched together into a single ordered list — the model reads the whole document in one pass, not page by page.
Can I extract just specific columns or filter rows during extraction?+
Yes. Type your request in the description box below the document tiles — for example, 'just the date and amount columns' or 'only line items where amount is over $500'. ExtractFox figures out the structure and returns only those fields.
Will formulas and pivot tables work on the exported numbers?+
Yes. Amounts and totals are written as real numeric cells, not text — SUM, AVERAGE, and pivot-table grouping work immediately. Dates come through as a consistent format so date-based grouping works too.
I actually need CSV or JSON, not a spreadsheet file — can I get that?+
Yes — pick CSV or JSON as the output format instead of Excel, using the same schema and the same underlying extraction.