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vs LlamaParse

PaperOffice AI vs LlamaParse

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

At a glance

  • 69ready document types
  • 21invoice fields out of the box
  • up to 200custom fields
  • 35output languages
  • from €6.00je 1.000 Seiten

Made for real business. Not for hype.

From document to fields

API output from July 14, 2026

Source document (invoice) · from €6 per 1,000 pages

Sample invoice Pristine Galvan Inc., INV-59762

Extracted fields · from €6 per 1,000 pages

Header fields

  • _supplier_name Supplier Pristine Galvan Inc.
  • _invoice_number Invoice number INV-59762
  • _invoice_date Invoice date 07/07/2026
  • _currency Currency USD
  • _net_amount Net amount $2,317.27
  • _vat_amount Tax amount $162.21
  • _total_amount Total amount $2,527.98

Line items (3)

# SKU Description Unit Qty Rate Amount
1 ITEM-92912 Multifold paper towels (case, 16 packs) case 40 $42.11 $1,684.40
2 PN-61493 Foaming hand soap refill, 1200 mL (case of 4) case 4 $38.81 $155.24
3 PART-33106 55-gallon trash can liners (case of 100) case 9 $53.07 $477.63

LLM fields — natural language

Not only extract — derive and validate

  • Accounts payable

    Prompt

    Based on the total amount, check whether this invoice exceeds the dual-control limit of USD 2,000 and therefore needs a second approval.

    Result

    Yes — USD 2,527.98 exceeds USD 2,000. Second approval required.

    Document INV-59762 · field _total_amount

  • KYC / HR / legal capacity

    Prompt

    Based on the date of birth on the ID document, check whether the person is of legal age (18) as of today.

    Result

    Yes — date of birth 12 Mar 2004 → of legal age on the reference date (22 years).

    ID / passport pipeline · LLM field instead of a fixed template key

  • Compliance / vendor screening

    Prompt

    Based on supplier name and address, check whether the issuer is located in the USA and must be treated as a third-country vendor for EU booking.

    Result

    Yes — Pristine Galvan Inc., Cleveland OH (USA). Third country / US vendor.

    Document INV-59762 · address + company name via LLM prompt

Agent UI: extracted data (raw JSON)

IDP agent editor showing extracted raw JSON

JSON excerpt (7 fields + 3 line items)

{
  "_supplier_name": {
    "value": "Pristine Galvan Inc.",
    "value_raw": "Pristine Galvan Inc."
  },
  "_invoice_number": {
    "value": "INV-59762",
    "value_raw": "INV-59762"
  },
  "_invoice_date": {
    "value": "07/07/2026",
    "value_raw": "2026-07-07"
  },
  "_currency": {
    "value": "USD",
    "value_raw": "USD"
  },
  "_net_amount": {
    "value": "$2,317.27",
    "value_raw": "2317.27"
  },
  "_vat_amount": {
    "value": "$162.21",
    "value_raw": "162.21"
  },
  "_total_amount": {
    "value": "$2,527.98",
    "value_raw": "2527.98"
  },
  "_line_items": [
    {
      "sku": "ITEM-92912",
      "description": "Multifold paper towels (case, 16 packs)",
      "qty": 40,
      "unit": "case",
      "rate": "$42.11",
      "amount": "$1,684.40",
      "amount_raw": "1684.40"
    },
    {
      "sku": "PN-61493",
      "description": "Foaming hand soap refill, 1200 mL (case of 4)",
      "qty": 4,
      "unit": "case",
      "rate": "$38.81",
      "amount": "$155.24",
      "amount_raw": "155.24"
    },
    {
      "sku": "PART-33106",
      "description": "55-gallon trash can liners (case of 100)",
      "qty": 9,
      "unit": "case",
      "rate": "$53.07",
      "amount": "$477.63",
      "amount_raw": "477.63"
    }
  ]
}

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

Details for LlamaParse from a public vendor source, as of 08/2026.

Criterion PaperOffice LlamaParse
Bounding boxes (word/line level) Yes (word/line level, Surya OCR) n/a — public sources used here do not specify word-level bounding boxes for LlamaParse
Sandwich PDF / searchable archive PDF Yes — searchable archive PDF Sandwich PDF is not documented as a PaperOffice archive PDF for LlamaParse
Click-to-evidence / visual validation (HITL) Yes — click-to-evidence / HITL Visual HITL for LlamaParse is not documented as click-to-evidence on this page
Structured IDP fields (ready types) 69 ready document types incl. DATEV/ZUGFeRD/XRechnung Ready IDP document types for LlamaParse are not documented as a public specification on this page (as of 08/2026)
DMS/archive included (WORM, audit, legal hold) Yes — WORM, audit trail, legal hold no — plan the archive separately
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 PaperOffice MCP: only in PaperOffice, not part of LlamaParse
EU inference on owned hardware Yes — owned EU GPU hardware LlamaCloud/vendor regions — not PaperOffice-owned GPUs
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 LlamaParse: no PaperOffice-verified public package prices
Billing from €6.00 per 1,000 pages (Elite) — same scale on every tier n/a

Source: https://docs.cloud.llamaindex.ai/llamacloud/pricing, retrieved 08/2026.

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

TierElite 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

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. Once archive, rights and agents join, the record is missing.

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

Johtavien yritysten luottamus maailmanlaajuisesti

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

1

LlamaParse: result and record

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. Once archive, rights and agents join, the record is missing.

2

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.

3

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

  1. Copy llms-full.txt
    https://api.paperoffice.ai/latest/docs/llms-full.txt
  2. Paste into Claude, Cursor or your agent
  3. 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
curl -X POST "https://api.paperoffice.ai/latest/job/add/workflow" \ -H "Authorization: Bearer po_sk_xxx" \ -F "[email protected]" \ -F "model=premium" \ -F "idp_collection=invoice" # danach job_result pollen (job_id aus Response)
python
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 — the price list is public. LlamaParse list prices appear only when documented; otherwise the table shows n/a.

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.

More comparisons

vs AWS Textract

AWS Textract: extraction with geometry — PaperOffice adds sandwich PDF, DMS/WORM, HITL and MCP on the object.

PaperOffice vs AWS Textract →

Try PaperOffice live

Get a token, review pricing, compare the feature matrix.

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