vs LlamaParse

PaperOffice AI vs LlamaParse

LlamaParse splits files for RAG; PaperOffice files the result in an audit-proof archive.

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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

Public PAYG/credit prices per page; the table shows the billing model (as of 09/2026).

Criterion	PaperOffice	LlamaParse
Bounding boxes (word/line level)	Yes (word/line level, Surya OCR)	Yes — word/line coordinates
Sandwich PDF / searchable archive PDF	Yes — searchable archive PDF	n/a
Click-to-evidence / visual validation (HITL)	Yes — click-to-evidence / HITL	n/a
Structured IDP fields (ready types)	Zero-shot: any document type, 120+ languages	Yes — agentic parsing/extraction
DMS/archive included (WORM, audit, legal hold)	Yes — WORM, audit trail, legal hold	no — parse/extract endpoint, external archive required
E-signatures on the same document	Yes — on the same document in the archive	no
Native MCP server (tool count)	Yes — 300+ API/MCP Tools	Yes — MCP server (parse/extract), no DMS
EU inference on owned hardware	Yes — owned EU GPU hardware	US vendor — no owned EU inference
Self-service without cloud setup	Yes — token in minutes	API key and your own orchestration
Pricing model	One credit balance for all features: from €6.00–€60.00 per 1,000 pages by quality tier	LlamaCloud: credits per page (free tier + PAYG); pure parse/extract/index stack (US), no DMS/archive
List price per 1,000 pages	Basic €20.00 / Premium €60.00 / Ultra €200.00 per 1,000 pages (2/6/20¢)	PAYG per page (parsing only)
Billing	from €6.00 per 1,000 pages (Elite) — same scale on every tier	n/a

Source: https://developers.llamaindex.ai/llamaparse/general/pricing/, retrieved 09/2026. Prices may change.

LlamaParse is a trademark of its respective owner. PaperOffice is not affiliated with or endorsed by LlamaParse. 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 LlamaParse the better choice?

Teams that need LlamaParse only as a parser in front of their own vector index, and already pay Azure or LlamaCloud, often stay on the parser. PaperOffice keeps extraction, archive, rights and agents on the same document.

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

LlamaParse

LlamaParse: parsing API. PaperOffice: the parse result becomes a permissioned archive object with MCP.

PaperOffice AI

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

Three decision axes

LlamaParse: result and record

LlamaParse: contracts and credits

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

LlamaParse: data residency

LlamaParse splits files for RAG; PaperOffice files the result in an audit-proof archive. 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 LlamaParse alternative?

Yes — when the need versus LlamaParse 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 LlamaParse?

Basic 2¢, Premium 6¢, Ultra 20¢ per page — PaperOffice’s price list is public. LlamaParse also has public PAYG/credit prices per page; PaperOffice adds the whole stack (DMS, WORM archive, HITL, MCP, EU inference) in the same per-page billing.

What specifically sets LlamaParse apart from PaperOffice?

LlamaParse 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 LlamaParse to PaperOffice?

From LlamaParse: 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 LlamaParse?

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

Does switching from LlamaParse require a partner project?

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