LandingAI ADE (Agentic Document Extraction)
- Landing AI ADE: vision extraction. PaperOffice: extraction plus archive, HITL, MCP.
vs LandingAI ADE (Agentic Document Extraction)
ADE extracts agentically; PaperOffice stores, authorises and signs the same document.
Made for real business. Not for hype.
API output from July 14, 2026
Source document (invoice) · from €6 per 1,000 pages
Extracted fields · from €6 per 1,000 pages
Header fields
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
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)
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
AI OCR with bounding boxes — 69 types, fields with location.
from €6 per 1,000 pages
Seamless in the job path — task and document also on mobile.
Web + Mobile
SES signatures from the same credit balance.
SES from the balance
Audit-proof filing and audit trail.
included
Details for LandingAI ADE from an official source, retrieved 08/2026.
| Criterion | PaperOffice | LandingAI ADE (Agentic Document Extraction) |
|---|---|---|
| Bounding boxes (word/line level) | Yes (word/line level, Surya OCR) | Yes — ADE grounding/bounding boxes are a core Agentic Document Extraction feature |
| Sandwich PDF / searchable archive PDF | Yes — searchable archive PDF | Sandwich PDF is not documented as a PaperOffice archive PDF for LandingAI ADE |
| Click-to-evidence / visual validation (HITL) | Yes — click-to-evidence / HITL | Visual grounding in ADE; human review depends on the Landing AI workflow, not a PaperOffice record |
| Structured IDP fields (ready types) | 69 ready document types incl. DATEV/ZUGFeRD/XRechnung | Ready IDP document types for LandingAI ADE 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 | LandingAI ADE: this comparison point is not vendor-documented on this page |
| 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 Landing AI ADE |
| EU inference on owned hardware | Yes — owned EU GPU hardware | Landing AI cloud — not PaperOffice EU GPUs |
| Self-service without cloud setup | Yes — token in minutes | Landing AI account and API key |
| Pricing model | One credit balance for all features: from €6.00–€60.00 per 1,000 pages by quality tier | LandingAI ADE: no PaperOffice-verified public package prices |
| Billing | from €6.00 per 1,000 pages (Elite) — same scale on every tier | n/a |
No reliable public pricing page for LandingAI ADE (Agentic Document Extraction) is recorded in this comparison (as of 08/2026).
LandingAI ADE (Agentic Document Extraction) is a trademark of its respective owner. PaperOffice is not affiliated with or endorsed by LandingAI ADE (Agentic Document Extraction). Competitor details are based on publicly available sources (as of 08/2026) and are provided without warranty.
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
Teams that use Landing AI ADE for visual document extraction in an existing Landing AI account stay on that vision stack. The audit-proof record is not ADE.
When API-first, credits and MCP without a client or suite mandate matter, PaperOffice is the better fit.
La confiance des entreprises leaders dans le monde
Teams that use Landing AI ADE for visual document extraction in an existing Landing AI account stay on that vision stack. The audit-proof record is not ADE.
LandingAI ADE: this page does not invent list prices. PaperOffice bills credits — Basic 2¢, Premium 6¢, Ultra 20¢ per page, with public partner terms.
ADE extracts agentically; PaperOffice stores, authorises and signs the same document. PaperOffice runs its own EU servers and files the result in an audit-proof way.
https://api.paperoffice.ai/latest/docs/llms-full.txt Or connect directly: MCP server for Claude, Cursor and ChatGPT →
Invoice extraction
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) 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()) { "status": "success", "job_id": "job_…", "result": { "fields": { "invoice_number": "…" } }
} Full parameters: llms-full.txt / Postman.
Yes — when the need versus LandingAI ADE is capture, understanding, archive and action in one account, not a single step. The table above compares point by point.
Basic 2¢, Premium 6¢, Ultra 20¢ per page — the price list is public. LandingAI ADE list prices appear only when documented; otherwise the table shows n/a.
LandingAI ADE (Agentic Document Extraction) 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.
From LandingAI ADE: 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.
On our own servers in the EU — including audit-proof filing and an audit trail. Where LandingAI ADE processes data is documented by the vendor.
Moving from LandingAI ADE typically starts with token + Import API — self-service instead of a mandatory project. Fastest with llms-full.txt.
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