For Construction

Document automation for Construction

Construction teams use Docusift to automate subcontractor invoices, purchase orders, material receipts, lien waivers, pay applications, timesheets. Project accountants code job costs from subcontractor and supplier paperwork without re-keying each line. No templates to maintain, no model training, no schema files.

A construction job generates invoices, material receipts, pay applications, and timesheets from dozens of subs and suppliers, each in its own format, and every line has to be coded to the right cost code and job before it can be billed or paid.

Docusift reads the vendor, line items, and totals off each document into structured rows ready to code by job and cost code, so project accounting stops re-keying and the draw package comes together faster.

Example: invoice line items parsed by Docusift
LineDescriptionQtyUnit priceAmount
1Steel bracket, 40mm1202.15258.00
2Powder coat finish1200.6072.00
3Freight — LTL186.5086.50
Tax (8.25%)34.03
Example structured output
{
  "document_type": "invoice",
  "vendor": "Ironline Fabrication",
  "invoice_number": "INV-20418",
  "invoice_date": "2026-04-11",
  "due_date": "2026-05-11",
  "currency": "USD",
  "line_items": [
    { "description": "Steel bracket, 40mm", "quantity": 120, "unit_price": 2.15, "amount": 258.00 },
    { "description": "Powder coat finish", "quantity": 120, "unit_price": 0.60, "amount": 72.00 }
  ],
  "subtotal": 416.50,
  "tax": 34.03,
  "total": 450.53,
  "confidence": 0.99
}

Why teams choose Docusift

Zero setup, zero training

No templates, no labeled data, no schema files. Drop the document in and Docusift returns clean structured data.

A confidence score on every field

Every value ships with a confidence score and a citation back to the source pixel in the original document, so low-confidence fields route to review instead of landing unchecked.

Fast turnaround

Seconds per document, not minutes. Built for production pipelines, not batch jobs.

Privacy first

Workspace-isolated processing, encrypted in transit and at rest, and one-click data deletion.

Frequently asked questions

What is the best document extraction tool for construction?

For construction teams, the best tool is one that reads subcontractor invoices, purchase orders, material receipts, lien waivers, pay applications, timesheets without per-vendor templates. Docusift parses every document visually, returns structured JSON with confidence scores, and pushes to QuickBooks, Xero, or your warehouse — typically inside one second per page.

How do construction teams automate document processing?

By routing every inbound document — email, upload, scan, mobile photo — through a single extraction endpoint that returns structured data. Project accountants code job costs from subcontractor and supplier paperwork without re-keying each line. Docusift handles the parsing; your workflow keeps the routing and approvals.

Which construction document types does Docusift support?

Subcontractor invoices, purchase orders, material receipts, lien waivers, pay applications, timesheets. New types are added regularly — if your team handles a document we do not yet support, we will add it.

How is data isolated between customers?

Every workspace runs in its own scoped namespace with row-level access control. Enterprise plans support bring-your-own-storage so your documents live in a bucket you control.

Do I need to train a model first?

No. Docusift recognizes hundreds of document types out of the box. Custom fields are configured with a single sentence — no labeled training data required.

How is pricing calculated?

Pay per page processed. There is a free tier for evaluation and volume discounts for production workloads. No seat fees.

Can Docusift handle scanned or photographed documents?

Yes. The pipeline runs OCR + layout analysis + extraction in one pass, so scans, mobile photos, and native PDFs all flow through the same endpoint.

Bring Docusift to your construction workflow

Free tier includes 100 pages per month. No credit card required.

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