Invoice Extraction Software
Automatically extract vendor names, invoice numbers, dates, line items, taxes, and totals from PDFs and scanned invoices. Validate, review, and export — no manual data entry.
What Paperloom extracts
Vendor name, invoice number, invoice date, due date, PO reference, and billing address extracted automatically.
Item descriptions, quantities, unit prices, discounts, and extended totals extracted from structured and unstructured invoice layouts.
Subtotals, tax amounts, VAT, GST, and grand totals captured with math validation to catch discrepancies before export.
Automatic flagging of duplicate invoice numbers from the same vendor to prevent double payment.
Low-confidence fields and policy exceptions route to a human review queue with context for fast confirmation.
Export to JSON, CSV, Excel, QuickBooks, Xero, or NetSuite-ready format. Full audit trail included.
How it works
Upload one or more invoice PDFs, scanned images, or email attachments.
Paperloom's AI invoice agent extracts all header fields, line items, tax, and totals.
Validation rules check math, duplicate invoice numbers, vendor names, and policy thresholds.
Low-confidence fields are routed to a human review queue for fast confirmation.
Approved data exports as structured JSON, CSV, or directly to your accounting system.
Use cases
Finance teams use Paperloom to eliminate manual invoice data entry, reducing processing time from days to minutes and cutting keying errors.
Handle hundreds of vendor invoice formats without template configuration — the AI adapts to each vendor's layout automatically.
Cross-reference extracted invoice data against open purchase orders to catch mismatches before payment approval.
Every extraction includes confidence scores, human review records, and a complete audit trail for finance audits and compliance workflows.
No setup. No credit card. 20 free credits on sign-up.
Get Started FreeAI invoice extraction software automatically reads invoice PDFs or scanned images and pulls out structured data fields — vendor name, invoice number, dates, line items, taxes, and totals — without manual data entry. Paperloom uses large language models tuned specifically for invoice documents.
Standard invoice header fields reach 94–97% accuracy on Paperloom. Complex multi-page line items and unusual vendor formats are routed to a review queue with exact context for human confirmation.
Yes. Paperloom combines AI document intelligence with OCR to process scanned PDFs, photographed invoices, and even partially handwritten documents. Low-quality scans are flagged for review.
Yes. Paperloom supports invoices in Arabic, French, Spanish, German, Chinese, Japanese, and dozens of other languages without any configuration changes.
Paperloom exports as JSON, CSV, and Excel. The roadmap includes direct integrations with QuickBooks, Xero, NetSuite, and generic webhooks. Any structured export can be mapped to your ERP.
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