Zero setup, zero training
No templates, no labeled data, no schema files. Drop the document in and Docusift returns clean structured data.
Insurance Forms extraction
Extract Policy details from Insurance Forms
Pull every policy details value out of any insurance forms — 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 policy-side of an ACORD form — policy number, insured party, and form type — is what ties a claim to the right coverage. Docusift reads those fields so underwriting and claims work from the same structured record.
Docusift maps every field on an ACORD or carrier claim form — claim and policy numbers, insured party, dates of loss and service, and coverage detail — into structured data the claims system can ingest without a data-entry step.
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 policy details route to review automatically — and the clean data pushes to Google Sheets, a webhook, QuickBooks, or Xero.
Example: insurance policy details as JSON
{
"form": "ACORD 1",
"policy_number": "POL-88214",
"insured": "Northwind Manufacturing",
"confidence": 0.97
}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 policy details from insurance forms?
Upload the insurance forms to Docusift via the dashboard, the REST API, or by emailing it to your workspace inbox. Docusift returns structured JSON with every policy details 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 policy details from insurance forms 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 insurance form from scratch, so it works on multi-page, multi-currency, and scanned variants without per-vendor configuration.
Does it work on scanned insurance forms?
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 policy details 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 policy details?
Docusift reads each insurance form 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 policy details 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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