Extract invoice data
Reading invoice PDFs by hand — totals, dates, supplier names, line items — is the kind of work that wastes hours and breeds errors. AP teams and freelancers feel this pain monthly.
Why this works
Our invoice extractor identifies the standard invoice fields automatically (number, date, vendor, line items, subtotal, tax, total) and exports them as structured CSV or JSON ready for your accounting system.
Manual invoice data entry is the single most-automatable workflow in most small businesses, and it\'s also the one that resists automation the longest because no two suppliers format their invoices the same way. Some put the invoice number at the top right; some at the bottom left; some embed it in a barcode; some hide it in metadata. Some show line items as a grid; some as a list; some as a paragraph. The total might be labelled "Total", "Amount Due", "Balance", "Sum", or just appear as the largest number on the page. A human reads through all of this naturally; a generic table extractor fails because the structure isn\'t a clean table.
What the invoice extractor does differently. Unlike PDF to Excel (which extracts every table) or Extract Table (which extracts a specific table), the invoice extractor is semantically aware — it knows what an invoice looks like and identifies fields by meaning, not just position. It detects the invoice number by recognising contextual cues ("Invoice", "Inv #", "Bill"), the date by date-format patterns near labels like "Date", "Issued", "Invoice Date", line items by their position in tabular regions with quantity/unit-price/total columns, and the total by recognising it as the value associated with "Total", "Amount Due", or "Balance Due" labels.
Fields extracted in the default output. Header fields: invoice number, issue date, due date, payment terms (Net 30, Due on Receipt, etc.), vendor name and address, customer name and address, vendor tax ID where present, currency. Line items: one row per item with description, quantity, unit price, line total. Totals block: subtotal, tax amount(s), shipping, discount, grand total. Every field is null-safe — if a particular invoice doesn\'t have a due date or tax line, the field is empty rather than guessed.
Accuracy expectations. Born-digital PDFs from accounting software (QuickBooks invoices, Xero invoices, FreshBooks, supplier ERPs): typically 98%+ field accuracy because the structure is predictable. Born-digital PDFs from Word or design tools (template-based invoices, custom-designed invoices): 90–97%, with occasional missed fields when the layout is unusual. Phone-photographed receipts: typically 85–95%, with OCR errors being the dominant failure mode. Handwritten receipts: highly variable, often closer to 60–80% — use the manual review step to correct.
The manual review step matters. After auto-extraction, you see each detected field with a confidence indicator. High-confidence fields (clearly labelled, unambiguous) display as confirmed; lower-confidence fields are flagged for review. The review pane lets you correct individual fields or accept the extraction as-is. For batch processing of 20+ invoices, even a 95% accuracy rate means you\'ll catch a few fields that need correction — the review pane is faster than re-running the extraction.
Integration with accounting systems. The CSV output uses a standardised header row compatible with QuickBooks (Bills import), Xero (Bills import via Files), and FreshBooks (Expenses import). The JSON output is structured per a documented schema suitable for piping into custom ERP integrations or workflow tools like Zapier and Make. For Sage, NetSuite, and other systems with proprietary import formats, the JSON is the right starting point — transform it once and the transformation works for every future invoice.
A workflow note for AP teams. The biggest accuracy gains come from building a per-supplier hint list. If you receive monthly invoices from the same 50 suppliers, the first time you process each supplier you\'ll see what fields the auto-extractor handles cleanly and which need review. Pro accounts let you save per-supplier extraction templates so subsequent invoices from that supplier inherit the corrections — a once-and-done setup that compounds month over month.
How it works
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1Open the invoice-extract toolClick the orange button above to launch in invoice mode. The extractor activates semantic field detection rather than generic table parsing.
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2Upload one or more invoicesDrop in PDFs or scans — OCR runs automatically for image-only sources. Born-digital PDFs from accounting software extract cleanest.
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3Review extracted fieldsEach detected field shows with a confidence indicator. Confirm the high-confidence ones; correct any fields flagged for review.
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4Export to CSV or JSONCSV is QuickBooks/Xero/FreshBooks-compatible out of the box. JSON suits custom ERP integrations and Zapier/Make workflows.
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5Import into your accounting systemDrop the CSV into your accounting system's Bills or Expenses import. Pipe JSON into your workflow tool. Files auto-delete from our servers within one hour.
Real-world uses
AP teams
Process supplier invoices in seconds instead of typing them. A 100-invoice monthly batch becomes a 15-minute review session, not a two-day data-entry slog.
Freelancers
Pull data from receipts and supplier bills for tax-time bookkeeping without manual entry.
Bookkeepers
Bulk-import client invoices into accounting software — critical for clients who send paper bills monthly.
Small business owners
Cut bookkeeping time by 80%+ on expense tracking without hiring a full-time bookkeeper.
Tax preparers
Aggregate client expense documentation into structured data for tax-return prep.
Procurement teams
Extract pricing and terms from supplier quotes for competitive comparison and PO generation.
Common questions
Does it work with handwritten receipts?
OCR handles printed receipts well (95%+ accuracy on clean modern scans). Handwriting accuracy varies enormously by source clarity — firmly printed block text works reasonably; cursive or hasty handwriting needs more review. Always verify handwritten fields before importing.
Which fields are extracted?
Header fields (invoice number, issue date, due date, payment terms, vendor and customer info, tax ID, currency), line items (description, quantity, unit price, line total), totals (subtotal, tax, shipping, discount, grand total). Fields not present in the invoice come through as empty rather than guessed.
Can I batch-process a folder?
Yes — Pro accounts support folder-level batch invoice extraction. Drop in a ZIP of PDFs; the output is a single CSV (or one JSON file) with one row per invoice, ready for bulk import.
Will it work with my accounting system?
CSV output is directly importable into QuickBooks (Bills), Xero (Bills via Files), and FreshBooks (Expenses). JSON is suitable for custom integrations with Sage, NetSuite, or any other ERP via Zapier, Make, or a scripted transformation.
What about multi-currency invoices?
Currency is detected and exported as a separate field. Multi-currency line items (rare — most invoices are single-currency) are flagged for manual review.
How accurate is the auto-extraction?
Born-digital PDFs from accounting software: 98%+. Born-digital from Word/design tools: 90–97%. Phone-photographed receipts: 85–95%. Handwritten: 60–80%. The review pane catches the remainder; for routine suppliers, per-supplier templates push subsequent runs to near-100%.
Can I save per-supplier extraction templates?
Yes on Pro — once you've manually corrected an invoice from a specific supplier, save the template so subsequent invoices from the same supplier inherit those corrections automatically. Compounds month over month.