ExtractFoxExtract data from any document
Drop a PDF, scan, or photo — get back a clean table, ready for Excel, CSV, or JSON. No templates to set up, no signup to try.
- 1Drop in your document
PDF, scan, or photo — up to 20 MB.
- 2Choose what to extract
Pick the fields you need — or describe them in plain English. Everything is selected by default.
- 3Get a clean table
Check the rows, then download to Excel, CSV, or JSON.
One model, every document shape
There's no template to pick or field mapping to configure. Describe what you need once, and ExtractFox finds it whether the source is a clean PDF, a phone photo, or a scan with a coffee ring on it.
Convert financial PDFs to clean Excel data
Skip broken copy-paste and manual rekeying. Extract transactions, line items, dates, totals, and balances as structured rows you can review before downloading.
Bank statement PDF to Excel
Convert digital or scanned statements into transaction rows with dates, descriptions, amounts, and balances.
Invoice PDF to Excel
Pull vendor details, dates, line items, tax, and totals from invoice PDFs, scans, and photos.
Receipt photo or PDF to Excel
Turn receipts into structured expense data with merchant, date, items, tax, and total.
Any PDF to Excel
Describe the fields you need and download typed, spreadsheet-ready data from almost any PDF layout.
Compare ExtractFox to what you're using now
Coming from a per-document-type API, a template-based parser, or an enterprise IDP contract? See exactly what changes.
ExtractFox vs Mindee
Mindee has consolidated into one platform where every document type — invoices, receipts, IDs — draws from the same page-credit pool, priced per page processed. ExtractFox is also one endpoint for every document type, but priced as a flat monthly extraction count instead of metering by page, and it comes with a UI for people who don't want to touch the API.
ExtractFox vs Nanonets
Nanonets has moved to a self-serve, credits-based workflow builder — you chain 'blocks' (classify, extract, validate, route) and each block execution draws down credits at its own rate. ExtractFox is a single upload-and-extract step with one flat monthly quota, no workflow to assemble and no per-block pricing to track.
ExtractFox vs Rossum
Rossum is enterprise IDP focused on accounts-payable automation. Its entry-level Starter plan is now listed publicly at $18,000/year with a one-year minimum; everything above that is a custom quote. ExtractFox is the self-serve alternative — same kinds of documents, monthly pricing, free to try.
ExtractFox vs Docparser
Docparser asks you to build a parsing template per supplier. ExtractFox uses a multimodal model that reads documents the way a person does — no templates, works on the first invoice from a vendor it has never seen.
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Frequently asked questions
How do I extract data from a PDF to Excel?+
Upload your PDF above, pick a document type (or describe what you want in plain English), then click Extract. ExtractFox returns a structured table you can download as .xlsx, .csv, or .json — no formatting work needed.
Can I extract data from images and scanned documents?+
Yes. ExtractFox reads PDFs, photos, and scans (PNG, JPG, WEBP, HEIC), including handwriting and rotated pages.
What if ExtractFox doesn't recognise my document?+
Describe what you want in plain English — for example, 'all invoice line items where amount is over $500' — and it works out the structure on its own. There's no template to configure.
Is the data sent anywhere?+
Files are processed by ExtractFox's secure extraction engine and are not stored on our servers — they're processed in-flight and discarded. See the privacy policy for the complete processing details.
How accurate is automated document extraction?+
Accuracy depends on document quality, layout, and the fields requested. Clear PDFs and images produce the cleanest results; noisy scans and complex tables should be reviewed before use. The result table lets you inspect the extracted values before downloading them.