Zero setup, zero training
No templates, no labeled data, no schema files. Drop the document in and Docusift returns clean structured data.
Contracts extraction
Extract Clauses from Contracts
Pull every clauses value out of any contracts — including scans and multi-page variants — into clean structured JSON. Each value carries a confidence score and a citation back to its source pixel.
The operative clauses — payment terms, governing law, renewal — are what a review actually turns on, and they hide in dense paragraphs. Docusift surfaces them as structured fields so a review starts from the terms instead of a cover-to-cover read.
Docusift reads the agreement and returns the parties, effective date, term, renewal window, payment terms, and governing law as structured fields, each with a citation back to the clause it came from — so a review starts from the facts instead of a page-by-page read.
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 clauses route to review automatically — and the clean data pushes to Google Sheets, a webhook, QuickBooks, or Xero.
Example: key contract clauses as JSON
{
"payment_terms": "Net 30",
"governing_law": "State of Delaware",
"auto_renewal": { "renews": true, "notice_days": 60 },
"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 clauses from contracts?
Upload the contracts to Docusift via the dashboard, the REST API, or by emailing it to your workspace inbox. Docusift returns structured JSON with every clauses 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 clauses from contracts 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 contract from scratch, so it works on multi-page, multi-currency, and scanned variants without per-vendor configuration.
Does it work on scanned contracts?
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 clauses 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 clauses?
Docusift reads each contract 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 clauses 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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