ExtractFoxInvoice data extraction from PDF or image
Invoice data extraction software that reads PDFs, scans, and phone photos like a person — not template OCR. Extract vendor details, dates, line items, tax, and totals as typed data you can export to Excel or import into your accounting workflow.
What should we pull from this invoice?
Or pick specific fields
Or describe it yourself
Developers
Need the API?
Call the same extraction from your backend — curl examples, JSON schema, and error codes on the dedicated docs page. Session-auth beta: sign in through the app and use your session cookie; bearer API keys are not available yet.
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
Most accounts payable teams still rekey invoices line by line because traditional OCR breaks on every layout it hasn't seen. ExtractFox uses a multimodal model that reads invoices the way a person does: it understands what an invoice is, finds the fields wherever they sit on the page, and returns them in a fixed schema you can pipe straight into an ERP, accounting tool, or spreadsheet. Month-end close stalls when someone opens 400 PDFs from email attachments and copies line items into QuickBooks — a single misread digit in tax or total cascades into reconciliation errors. Three-way match workflows break when PO numbers sit in footers, line descriptions wrap across rows, and each supplier uses a different column order.
How it works
- Step 1Drop the invoice
Upload a PDF, scan, or phone photo. Multi-page invoices are fine.
- Step 2Run extraction
ExtractFox finds the vendor, invoice number, dates, line items, tax, and totals — even when fields are in different places per supplier.
- Step 3Export to Excel
Download the result as .xlsx, .csv, or .json. Line items become rows; metadata becomes a header strip.
Fields extracted
vendorinvoice_numberissue_datedue_datecurrencybill_toline_items[].descriptionline_items[].quantityline_items[].unit_priceline_items[].amountsubtotaltaxtotalCommon use cases
Sample output
Example output from a single-page invoice
| vendor | Acme Supplies Ltd. |
| invoice_number | INV-00284 |
| issue_date | 2026-04-12 |
| due_date | 2026-05-12 |
| currency | USD |
| subtotal | 232 |
| tax | 46.4 |
| total | 278.4 |
| description | quantity | unit_price | amount |
|---|---|---|---|
| A4 paper, 80gsm, 500 sheets | 12 | 4.5 | 54 |
| Toner cartridge, black | 2 | 89 | 178 |
Frequently asked questions
How do I extract data from an invoice PDF to Excel?+
Upload the PDF here, click Extract, and download the result as .xlsx. Line items are split into one row per item; vendor and totals come through as a metadata strip you can paste into any accounting system.
Does it work with photos of invoices and crumpled receipts?+
Yes. The model reads photos and scans of invoices including handwritten amounts, tilted pages, and partial occlusion. Image quality affects accuracy — sharper photos give cleaner output.
What about invoices in different languages or currencies?+
ExtractFox extracts in the original language and preserves the currency code. Numeric fields (amounts, tax, totals) are returned as numbers, not strings, so they import cleanly into Excel.
Can I batch-process many invoices?+
The web app processes one invoice at a time. Batch processing and a REST API are on the paid plan.
How does this compare to Docparser, Nanonets, or Adobe Acrobat?+
Traditional invoice OCR tools require you to train a template per supplier. ExtractFox skips that step — the model understands the structure of invoices in general, so it works on the first invoice you upload from a vendor it has never seen.
Does it extract line items when descriptions contain commas or line breaks?+
Yes. Multi-line descriptions and commas inside item names stay in a single field — they don't split into extra columns. Export as JSON or Excel and each line item is one row with the full description intact.
Can I match invoices to purchase orders automatically?+
ExtractFox returns PO numbers, invoice numbers, vendor names, and line-level amounts in a stable schema. Pipe the JSON into your ERP or a script that joins on PO number — no per-supplier parser required.
What is invoice data extraction?+
Invoice data extraction turns an invoice PDF or image into structured fields — vendor, dates, line items, tax, and total — instead of raw OCR text. ExtractFox reads the document semantically, so you get Excel-ready rows without building a template per supplier.
How do I extract invoice data from a PDF?+
Upload the invoice PDF here, run extraction, and download Excel or CSV. Line items become one row each; vendor and totals sit in a metadata strip. Works on digital PDFs, scans, and phone photos — no template setup.
Is ExtractFox invoice OCR software?+
Yes — it's invoice OCR software powered by multimodal AI, not fixed-coordinate templates. You get structured fields (vendor, line items, totals) directly, which is what invoice OCR services promise but template tools struggle to deliver on new supplier layouts.
Is there an invoice OCR API?+
Yes — use the Need the API? section above for the invoice OCR API docs (curl, line_items schema, errors). Paid plans required; auth is session-cookie beta until bearer keys ship.
How does invoice OCR AI differ from traditional invoice OCR?+
Classic invoice OCR returns flat text; you write rules per layout. Invoice OCR AI reads the document semantically — it finds fields wherever they sit and returns typed JSON. New supplier layouts work on the first upload without retraining.