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Extract · Construction plan

Extract Construction plan via API — structured data from 3¢/page

PaperOffice AI extracts Construction plan data via API using LLM-based semantic extraction combined with Surya OCR geometry. Pricing from 3¢/page (Basic); Premium and Ultra for higher model tiers. Extract metadata and annotations from construction plans and blueprints via AI-IDP workflow.

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Extracted fields

Source: Extract construction plan/blueprint · POST https://api.paperoffice.ai/latest/job/add/workflow

Field / description
Extract metadata and annotations from construction plans and blueprints via AI-IDP workflow.

Code example

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=construction_plan"

Python

import requests

api_token = "po_sk_xxx"
file_path = "document.pdf"

response = 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": "construction_plan"},
)
job_result = response.json()
print(job_result)

Example response

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

Truncated schema — full fields in llms-full.txt / Postman.

Pricing

Tier Price / page
Basic3 ct / €0.03
Premium4 ct / €0.04
Ultra10 ct / €0.10

API credit note: 10 credits (base, at `priority=500`)

MCP

Also available as an MCP tool.

Go to MCP hub

FAQ

What does extracting Construction plan cost?

AI DMS / IDP processing costs Basic 3¢, Premium 4¢ and Ultra 10¢ per page.

Which endpoint is used?

Per API docs: POST https://api.paperoffice.ai/latest/job/add/workflow (pipeline/slug: workflow).

Is extraction available via MCP?

Yes. The same capabilities are reachable via the PaperOffice MCP server — see /mcp/.

Where is data processed?

On PaperOffice EU infrastructure on owned hardware.