Documents Engine
Klarefi turns submitted files into cited facts. PDFs, scans, emails, photos, attachments, collected, parsed, extracted, gap-checked, and routed to the right human when judgment is required.
PDF, scan, email
one packet, one case context
Per-fact citations
every value links to a quote and a page
Reviewer-first
disputed and missing facts surfaced separately
“Klarefi keeps every extracted value attached to the source quote, the page, and the reviewer who can challenge it.”
From the file your applicant uploaded to the fact your reviewer trusts.
- 01
Documents arrive through a hosted session, an API call, or your existing channel.
- 02
Klarefi parses and classifies the packet against the workflow's fact requirements.
- 03
Required facts come out with source evidence: quote, page, bounding box.
- 04
Gaps and contradictions surface before a reviewer spends a cycle on them.
- 05
The final packet shows what is accepted, what is disputed, and what is still missing.
A reviewer should see the value and the source in the same glance. That is the entire product.
Where Klarefi sits next to extraction tools.
- Alongside OCR
- Klarefi connects each page to the required fact and the review outcome that depends on it.
- Alongside IDP
- Klarefi pairs extraction with applicant follow-up so the case reaches review complete, not just parsed.
- Alongside your DMS
- Klarefi explains what the stored files prove and what is still missing, in the same workspace.
What document teams keep running into.
01
OCR delivers text and leaves the reading work on the reviewer's desk.
02
Extraction-only tools push the chase for missing evidence back to your team.
03
Manual review produces inconsistent notes and weak audit trails.
The verticals where this pays back fastest.
Cut triage cost in half. Deliver same-day decisions.
Run a pilot on your actual documents. Measurable accuracy and coverage numbers within two weeks.
50% triage time cut in 30 days or we keep working on it.