Clear verification outcomes for every document
Verify completeness, consistency and fraud signals across IDs, proofs, invoices and contracts. Get a simple pass, fail or review result with the reasons included.
What verification checks
Simple checks that remove manual work and keep decisions consistent.
Required fields
Confirm key fields are present and readable (name, ID, totals, dates, references).
Expiry and validity
Detect expired IDs, outdated proofs and invalid date ranges.
Format checks
Validate patterns for IDs, invoice numbers, amounts and structured fields.
Cross-document match
Compare names, IDs and addresses across the bundle to catch mismatches.
Fraud signals
Flag suspicious edits, overlays, unusual compression and integrity issues.
Clear outcomes
Return pass, fail or review-required with reasons and evidence for each decision.
How it works
Four steps from upload to outcome.
Documents arrive from your form, portal, email or storage location.
OCR + AI extracts text and key fields, even from imperfect scans.
Rules and models run checks for completeness, validity and risk signals.
We return pass, fail or review-required with reasons and audit logs.
Where it creates instant value
If people are checking documents manually today, verification removes that step.
KYC and onboarding
Verify IDs and proofs before a human reviews the application.
Invoices and accounts
Confirm totals, dates and references to reduce errors and rework.
Claims and payouts
Catch missing docs and mismatches early to speed up genuine claims.
Vendor onboarding
Verify compliance docs and banking proofs before approval.
HR and recruitment
Confirm certificates and required forms are present and valid.
Legal and contracts
Verify parties and key dates to keep case files consistent.
Quick questions
Short answers, no fluff.
Do we get clear reasons for failures? ⌄
Yes. You get an outcome plus the exact checks that failed and what to fix next.
Can checks differ per document type? ⌄
Yes. IDs, invoices and proofs can each have different rules and thresholds.
Does it handle WhatsApp photos and low quality scans? ⌄
Yes. It’s built for real-world documents and can flag quality issues while still extracting what’s usable.
How does this link to processing? ⌄
Verification is a core step inside AI Document Processing (receive → extract → verify → trigger).
Want verification on your real documents?
Tell us your document types and the checks you need. We’ll show outcomes, reasons and how results feed into your workflow.
Pass/fail outcomes • Reasons included • Audit-ready logs