vs Infrrd

PaperOffice AI vs Infrrd

Infrrd delivers models; PaperOffice delivers the object in an audit-proof workspace.

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At a glance

69ready document types
21invoice fields out of the box
up to 200custom fields
35output languages
from €6.00per 1,000 pages

Made for real business. Not for hype.

In the same account

More than extraction

Extract

AI OCR with bounding boxes — 69 types, fields with location.

from €6 per 1,000 pages
HITL review

Seamless in the job path — task and document also on mobile.

Web + Mobile
Sign

SES signatures from the same credit balance.

SES from the balance
WORM archive

Audit-proof filing and audit trail.

included

Comparison table

No public price list for Infrrd in this comparison — billing model only, without list amounts (as of 08/2026).

Criterion	PaperOffice	Infrrd
Bounding boxes (word/line level)	Yes (word/line level, Surya OCR)	n/a
Sandwich PDF / searchable archive PDF	Yes — searchable archive PDF	n/a
Click-to-evidence / visual validation (HITL)	Yes — click-to-evidence / HITL	Yes (validation UI)
Structured IDP fields (ready types)	Zero-shot: any document type, 120+ languages	Yes — ML/template extraction
DMS/archive included (WORM, audit, legal hold)	Yes — WORM, audit trail, legal hold	no — external archive required
Native MCP server (tool count)	Yes — 300+ API/MCP Tools	no MCP server documented (as of 09/2026)
Self-service without cloud setup	Yes — token in minutes	Infrrd contract sales-led — not a credit token
Pricing model	One credit balance for all features: from €6.00–€60.00 per 1,000 pages by quality tier	Sales-led; performance-based (pay for results: IDP/HITL/no-touch); cloud + on-prem; quote by volume/document type
List price per 1,000 pages	Basic €20.00 / Premium €60.00 / Ultra €200.00 per 1,000 pages (2/6/20¢)	Performance-based, quote
Billing	from €6.00 per 1,000 pages (Elite) — same scale on every tier	n/a

Source: https://www.infrrd.ai/, retrieved 09/2026. Prices may change.

Infrrd is a trademark of its respective owner. PaperOffice is not affiliated with or endorsed by Infrrd. Competitor details are based on publicly available sources (as of 08/2026) and are provided without warranty.

Pricing model with qualification tiers

Our prices are public — including partner terms.

Unit: Price per 1,000 pages

Tier	Elite Partner (−70%)	Partner (−40%)	Enduser
Basic	€6.00	€12.00	€20.00
Premium	€18.00	€36.00	€60.00
Ultra	€60.00	€120.00	€200.00

Billing is internal in credits; amounts follow the selected currency (base: list price).

Elite terms after qualification — criteria and program are public: Pricing · Partner program

All plans and pricing Become a partner

When is Infrrd the better choice?

Teams that use Infrrd for specialised extraction models (invoices, IDs) under an existing Infrrd contract stay on that IDP line. The record afterwards is a second system.

When API-first, credits and MCP without a client or suite mandate matter, PaperOffice is the better fit.

Trusted by leading companies worldwide

Key differences

Infrrd

Infrrd: IDP models. PaperOffice: model plus archive, rights and MCP in the same account.

PaperOffice AI

Document platform with API: result in the archive, one credit balance, hosted in the EU, MCP for AI agents.

Three decision axes

Infrrd: result and record

Teams that use Infrrd for specialised extraction models (invoices, IDs) under an existing Infrrd contract stay on that IDP line. The record afterwards is a second system.

Infrrd: contracts and credits

Infrrd: this page does not invent list prices. PaperOffice bills credits — Basic 2¢, Premium 6¢, Ultra 20¢ per page, with public partner terms.

Infrrd: data residency

Infrrd delivers models; PaperOffice delivers the object in an audit-proof workspace. PaperOffice runs its own EU servers and files the result in an audit-proof way.

Integrated in minutes

Copy llms-full.txt
https://api.paperoffice.ai/latest/docs/llms-full.txt
Paste into Claude, Cursor or your agent
Say what you want to build — the agent delivers the finished integration.

Or connect directly: MCP server for Claude, Cursor and ChatGPT →

Integrate manually (Python)

Invoice extraction

curl -X POST "https://api.paperoffice.ai/latest/job/add/workflow" \ -H "Authorization: Bearer po_sk_xxx" \ -F "file=@./invoice.pdf" \ -F "model=premium" \ -F "idp_collection=invoice" # danach job_result pollen (job_id aus Response)

import requests api_token = "po_sk_xxx"
file_path = "invoice.pdf" create = requests.post( "https://api.paperoffice.ai/latest/job/add/workflow", headers={"Authorization": f"Bearer {api_token}"}, files={"file": open(file_path, "rb")}, data={"model": "premium", "idp_collection": "invoice"},
)
print(create.json())

Sample response (truncated)

{ "status": "success", "job_id": "job_…", "result": { "fields": { "invoice_number": "…" } }
}

Full parameters: llms-full.txt / Postman.

FAQ

Is PaperOffice a Infrrd alternative?

Yes — when the need versus Infrrd is capture, understanding, archive and action in one account, not a single step. The table above compares point by point.

What does PaperOffice cost compared to Infrrd?

Basic 2¢, Premium 6¢, Ultra 20¢ per page — PaperOffice’s full price list is public. No reliable public price list for Infrrd is recorded here — so the table states the billing model, not competitor amounts (often seat or project rather than per-page).

What specifically sets Infrrd apart from PaperOffice?

Infrrd primarily solves the core job described on this page. PaperOffice keeps extraction, archive (WORM), permissions, HITL and MCP on the same document — with a public per-page price list.

How do I migrate from Infrrd to PaperOffice?

From Infrrd: prepare inventory as ZIP/scan source, start an import job, then workflows via REST and MCP. No mandatory partner project. llms-full.txt: Import & Migration.

Where is data processed — differently from Infrrd?

On our own servers in the EU — including audit-proof filing and an audit trail. Where Infrrd processes data is documented by the vendor.

Does switching from Infrrd require a partner project?

Moving from Infrrd typically starts with token + Import API — self-service instead of a mandatory project. Fastest with llms-full.txt.