# Pricing - Paperloom.io

Last updated: 2026-05-03

## Currency behavior
- Country and billing currency are resolved from server-side geo headers where available.
- US anchor pricing:
  - Pro: USD 50/month
  - Max: USD 100/month
- Non-US regions use purchasing-power-parity (PPP) adjustments against US anchors.
- Displayed prices are localized to resolved billing currency.

## Free Tier
- Price: 0
- Unit: credits
- Default grant: 20 credits per account/workspace
- Access: login required (Google sign-in)
- Costs:
  - invoice: 1 credit/page
  - receipt: 1 credit/page
  - generic: 1 credit/page
  - bank_statement: 2 credits/page
  - tax_form: 2 credits/page
  - contract: 4 credits/page
  - legal: 4 credits/page

## Paid Tiers

### Pro
- US anchor: USD 50/month
- Included credits: 1000/month
- Typical throughput:
  - ~400 invoice pages
  - ~60-70 contract/legal pages
- Discount: 50% lower credit burn on all document types
- Paid burn rates:
  - invoice: 0.5 credits/page
  - receipt: 0.5 credits/page
  - generic: 0.5 credits/page
  - bank_statement: 1 credit/page
  - tax_form: 1 credit/page
  - contract: 2 credits/page
  - legal: 2 credits/page

### Max
- US anchor: USD 100/month
- Included credits: 2000/month
- Typical throughput:
  - ~800 invoice pages
  - ~120-140 contract/legal pages
- Discount: 50% lower credit burn on all document types (same paid burn rates as Pro)

## Processing Strategy (Cost + Accuracy)
- Pipeline base: Azure Document Intelligence handles OCR, layout, key-value pairs, tables, and geometric anchors.
- Reasoning escalation: Azure OpenAI 5.3 is applied for low-confidence fields, clause-heavy documents, and semantic normalization.
- Quality control: confidence thresholds, deterministic validations, and human review queues prevent silent failures.
- Cost control: template/fingerprint caching and selective reprocessing reduce repeated model spend.