Veriff verifies people through ID + selfie. TrueDoc verifies the documents themselves. They solve different problems — and pair cleanly.
Test vendors on AI-generated docs, tampered PDFs, recycled real documents, and explainable evidence — not just sample IDs from their own marketing site.
Inspects EXIF, software signatures, edit history, and structural fingerprints.
Originals are processed in encrypted memory and removed after analysis. Reports stay redacted by default.
Veriff is widely used for consumer identity verification — a hosted ID + selfie flow with liveness that scales across regions and is easy to drop into a sign-up funnel. That is squarely an identity verification problem.
Once the person is verified, many products still need to ingest documents: proof of address, pay stubs, invoices, receipts, screenshots of payments, business documents, or PDF contracts. Those uploads carry their own fraud surface, and identity verification platforms are not designed to forensically dissect them.
TrueDoc is built for that second surface. If you are searching for a Veriff alternative because your problem is document authenticity rather than identity, TrueDoc is the more direct fit. If the problem is genuinely identity, Veriff's peers (Jumio, Onfido, Persona, Socure, AU10TIX) belong on the shortlist instead.
AI-generated proof-of-address and pay stubs uploaded after a clean Veriff pass
Edited invoices and receipts in marketplace or expense flows
Tampered PDF contracts and statements
Screenshots of fake transfers used to claim payment
Continue using Veriff's hosted ID + selfie flow for identity at account creation.
Every supporting document upload after onboarding is checked by TrueDoc for forgery and AI-generation signals.
Store Veriff's identity result and TrueDoc's per-document verdicts together so reviewers see one timeline.
Clean identity + clean document → approve. Anything else → human review with evidence pre-attached.
Veriff lives in identity verification: hosted flows that verify a person against a photo ID using biometric matching and liveness. That category includes Jumio, Onfido, Persona, Socure, and AU10TIX.
TrueDoc lives in document-authenticity forensics: deciding whether a given file has been tampered with, recycled, or generated by an AI model. It applies to a wide range of documents that identity flows do not deeply inspect.
If you treat them as the same category you will end up with vendors that solve overlapping pieces poorly. Treating them as two layers gives each tool the job it is designed for.
Generative models can produce pay stubs, lease agreements, bank statements, and invoices that look correct at a glance. Image editors can adjust receipts and screenshots in seconds. Identity verification platforms typically do not run forensic inspection on those files — that is not what they are built for.
TrueDoc evaluates each upload with per-field signals: ELA, font fingerprinting, PDF object inspection, metadata edit-trails, MRZ checks for ID-like documents, math reconciliation for financial documents, and an AI-generation layer.
Choose Veriff for hosted consumer identity onboarding where ID + selfie + liveness is the core flow.
Choose TrueDoc when the document itself is the question — receipts, pay stubs, statements, invoices, PDFs, screenshots, ID images.
Choose both when onboarding triggers later document uploads that drive payouts, refunds, eligibility, or credit decisions.
A typical pattern: Veriff at sign-up for identity; the TrueDoc API on every subsequent document upload; both verdicts attached to the same case; routing on combined signal so clean cases flow through and mixed signals reach a human with full evidence.
Fairness note: Veriff's full capabilities extend beyond this page. Evaluate Veriff directly for a complete view of its product surface.
No credit card. Redacted report in under a minute.