1,500+
Document pages tested
Internal benchmark across invoices, bank statements, and contract samples.
Extract structured data from invoices, contracts, purchase orders, receipts, bank statements and scanned PDFs — with AI validation, review queues and audit-ready exports.
Proof Points
1,500+
Document pages tested
Internal benchmark across invoices, bank statements, and contract samples.
90%+
Field-level accuracy
Typical baseline on clean, standard-format documents before human review.
< 24h
Time to first production run
Most teams start with a pilot workflow and export verified results in a day.
Why Paperloom
Teams adopt Paperloom when they need dependable document intelligence with governance, structured outputs, and clean handoffs across legal and finance workflows.
Paperloom is designed for teams handling contract obligations, renewals, invoice controls, and audit-ready exports.
Every extracted value can be reviewed, corrected, and traced back to source context before it touches downstream systems.
Instead of generic file conversion, Paperloom focuses on reliable intake, validation, routing, and decision support.
THE PROCESS
Drop PDFs, scans, or images into Paperloom.io.
Core invoice fields, line items, and totals are captured.
Amounts, vendors, and purchase orders are checked.
Approved records export. Exceptions arrive with context.
Features
Not positional OCR. The system reads and understands invoice context.
Line items must sum to totals. Catches extraction errors before export.
Every failure is flagged with context, not just rejected.
Normalizes "ACME Inc." vs "Acme Incorporated".
Cross-references open purchase orders automatically.
Full log of every extraction, edit, and override.
Paperloom.io combines extraction, math checks, vendor matching, and review routing. Clean invoices flow through automatically. Ambiguous fields are surfaced before they hit your books.
Flagged for review when confidence drops.
Customer Stories
Legal and finance teams adopt document intelligence to eliminate manual clause review, reduce turnaround time, and improve decision confidence across high-stakes agreements.
DocuSign CLM Team Member
“I used to spend 2-3 hours understanding contract details. Now key terms are surfaced in minutes with structured output.”
Shared during product discovery; replace with approved customer reference before publishing.
Internal interview noteT-Mobile Wholesale
“Public CLM case study reported a 44% reduction in agreement processing time and stronger cross-functional visibility.”
Industry benchmark reference, not a Paperloom customer claim.
Docusign customer storyVestwell
“Public CLM case study highlighted agreement package creation dropping from 75 minutes to 5 minutes.”
Industry benchmark reference, not a Paperloom customer claim.
Docusign customer storyFree Extraction Credits
Sign in with Google to create your Paperloom account. Credits are used by page: invoice pages cost less, while contract and legal pages cost more because they require deeper clause and risk analysis.
Invoices
1 credit/page
Bank/Tax Docs
2 credits/page
Contracts/Legal
4 credits/page
Free Tier Credits
20 of 20 credits left
When free credits run out, page automation pauses until the account adds more credits or upgrades.
Pricing
$0
20 credits to test the workflow
$50/mo
1,000 credits/month • ~400 invoices or ~60-70 contracts
$100/mo
2,000 credits/month • ~800 invoices or ~120-140 contracts
Product Workspace
Paperloom's extraction workspace is separate from the brand narrative. Open it when you want to process live documents.
AI document extraction software automatically reads PDFs, scanned documents, and images and pulls out structured data fields — like vendor name, invoice number, dates, totals, line items, and contract clauses — without manual data entry. Paperloom uses large language models combined with validation rules to extract and verify data from invoices, contracts, purchase orders, receipts, and bank statements.
Stop the manual grind
Finance teams waste 3+ hours daily on data entry that Paperloom handles in seconds.
20-minute setup. First batch processed today.
~400
invoices / month on Pro
20 min
to go live
95%+
extraction accuracy
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