Zero setup, zero training
No templates, no labeled data, no schema files. Drop the document in and Docusift returns clean structured data.
Lease Agreements extraction
Extract Dates and parties from Lease Agreements
Pull every dates and parties value out of any lease agreements — including scans and multi-page variants — into clean structured JSON. Each value carries a confidence score and a citation back to its source pixel.
Pulling dates and parties out of a lease agreement by hand is slow, and it is exactly where a mistake slips through. A lease buries the facts that matter — landlord, tenant, premises, term, rent, deposit, escalation, and renewal — in dense prose across many pages, phrased differently in every agreement, so abstracting a portfolio of leases by hand is slow paralegal work.
Docusift reads a lease and returns the landlord, tenant, premises, term dates, monthly rent, deposit, escalation, and renewal terms as structured fields, each cited back to the clause it came from, so lease abstraction starts from the facts.
Each extracted value ships with a per-field confidence score and a citation back to the exact spot on the page it was read from, so low-confidence dates and parties route to review automatically — and the clean data pushes to Google Sheets, a webhook, QuickBooks, or Xero.
| Field | Value |
|---|---|
| Landlord | Foundry Road Holdings |
| Tenant | Ironline Fabrication |
| Term | 2026-06-01 to 2031-05-31 |
| Monthly rent | 8,400.00 |
Example structured output
{
"document_type": "lease",
"landlord": "Foundry Road Holdings",
"tenant": "Ironline Fabrication",
"premises": "Unit 1A, 2140 Foundry Rd, Toledo, OH",
"term_start": "2026-06-01",
"term_end": "2031-05-31",
"monthly_rent": 8400.00,
"security_deposit": 16800.00,
"annual_escalation_pct": 3.0,
"confidence": 0.96
}Why teams choose Docusift
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
How do I extract dates and parties from lease agreements?
Upload the lease agreements to Docusift via the dashboard, the REST API, or by emailing it to your workspace inbox. Docusift returns structured JSON with every dates and parties value, its confidence score, and a citation back to the source pixel — typically in under a second per page.
What is the best way to pull dates and parties from lease agreements automatically?
The best way is a tool that reads layouts visually rather than matching templates. Template tools break when a vendor changes their format; Docusift parses each lease agreement from scratch, so it works on multi-page, multi-currency, and scanned variants without per-vendor configuration.
Does it work on scanned lease agreements?
Yes. OCR, layout analysis, and field extraction run in a single pass, so scans, mobile photos, and native PDFs use the same endpoint and reach the same accuracy bar.
Can I push the extracted dates and parties into my own system?
Yes. Receive structured JSON via REST, hit a webhook, or sync directly into Google Sheets, your data warehouse, or your accounting tool.
How accurate is Docusift at extracting dates and parties?
Docusift reads each lease agreement visually rather than matching a template, and every extracted value ships with a per-field confidence score and a citation back to the source pixel — so low-confidence dates and parties route to human review automatically instead of landing unchecked.
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.
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