Zero setup, zero training
No templates, no labeled data, no schema files. Drop the document in and Docusift returns clean structured data.
Pull every identity fields value out of any id documents — 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 identity fields out of an identity document by hand is slow, and it is exactly where a mistake slips through. An identity document — passport, national ID, or driver license — carries the name, document number, dates, and issuing authority in a fixed layout topped by a machine-readable zone, and an onboarding team verifying identity re-keys those fields from a scan or photo.
Docusift reads the document type, full name, document number, date of birth, expiry, and issuing authority — including the machine-readable zone — into structured fields for identity and onboarding checks, with a confidence score on each value.
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 identity fields route to review automatically — and the clean data pushes to Google Sheets, a webhook, QuickBooks, or Xero.
| Field | Value |
|---|---|
| Document type | Passport |
| Name | J. RIVERA |
| Number | X1234567 |
| Expiry | 2031-08-14 |
{
"document_type": "id_document",
"id_type": "passport",
"full_name": "J. RIVERA",
"document_number": "X1234567",
"date_of_birth": "1988-02-11",
"expiry_date": "2031-08-14",
"issuing_authority": "USA",
"mrz_parsed": true,
"confidence": 0.98
}No templates, no labeled data, no schema files. Drop the document in and Docusift returns clean structured data.
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.
Seconds per document, not minutes. Built for production pipelines, not batch jobs.
Workspace-isolated processing, encrypted in transit and at rest, and one-click data deletion.
Upload the id documents to Docusift via the dashboard, the REST API, or by emailing it to your workspace inbox. Docusift returns structured JSON with every identity fields value, its confidence score, and a citation back to the source pixel — typically in under a second per page.
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 id document from scratch, so it works on multi-page, multi-currency, and scanned variants without per-vendor configuration.
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.
Yes. Receive structured JSON via REST, hit a webhook, or sync directly into Google Sheets, your data warehouse, or your accounting tool.
Docusift reads each id document 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 identity fields route to human review automatically instead of landing unchecked.
No. Docusift recognizes hundreds of document types out of the box. Custom fields are configured with a single sentence — no labeled training data required.
Pay per page processed. There is a free tier for evaluation and volume discounts for production workloads. No seat fees.
Yes. The pipeline runs OCR + layout analysis + extraction in one pass, so scans, mobile photos, and native PDFs all flow through the same endpoint.
Free tier includes 100 pages per month. No credit card required.
Start free — no credit card