Choosing a document verification partner is a significant decision. This page helps procurement and operations teams understand how TamperCheck compares to Entrust - on pricing, privacy posture, and what it actually takes to get started. Note that TamperCheck works on digital PDFs and scanned hard copies alike - including physical stamp verification and handwritten signature analysis, not just native digital files.
Digital PDFs
text layer + raster analysis
Phone photos & scans
camera captures and flatbed scans
Physical stamp verification
ink bleed, embossing, overlay detection
Handwritten signature analysis
forgery and substitution checks
Documents covered
- TamperCheck.ai
- 100+ document types from 190+ countries
- Entrust
- 2,500+ identity document types across 195 countries (their claim)
Forensic checks per document
- TamperCheck.ai
- 200+ forensic layers on every upload
- Entrust
- ID authenticity plus biometric liveness and face match
AI-generated documents
- TamperCheck.ai
- Dedicated synthesis pass, resolved to the field
- Entrust
- Deepfake defences aimed at the selfie and ID capture, not at uploaded paperwork
Image forgery detection
- TamperCheck.ai
- Pixel-level: splice, resave and edge-sharpness deltas
- Entrust
- On identity documents, against a template library
PDF & file structure
- TamperCheck.ai
- Objects, fonts, metadata and editor traces
- Entrust
- Not the product - the unit of work is a capture session
Digital signature certificates
- TamperCheck.ai
- Issuer and trust chain verified
- Entrust
- Not publishedLimited
Field-level alteration
- TamperCheck.ai
- Yes - the altered field named and located
- Entrust
- Pass or fail on the identity check
Scans, photos & physical marks
- TamperCheck.ai
- Stamps, embossing, signatures, print artefacts
- Entrust
- ID security features - holograms, fonts, printing
Automated QC on findings
- TamperCheck.ai
- Every finding re-validated before you see it
- Entrust
- Not publishedLimited
What you get back
- TamperCheck.ai
- A verdict, the field named, in plain English
- Entrust
- A verified / not-verified decision about a person
Time to verdict
- TamperCheck.ai
- About a minute, unattended
- Entrust
- Seconds per session
Price per document
- TamperCheck.ai
- $0.50, published
- Entrust
- Not published - quoted by volume
Commitment
- TamperCheck.ai
- None - no seat fees, no minimum, no cap
- Entrust
- Annual enterprise contract
How you start
- TamperCheck.ai
- Self-serve - first top-up matched free, live the same day
- Entrust
- Sales-led - demo and procurement first
Document retention
- TamperCheck.ai
- Zero - analysed in memory, never written to disk
- Entrust
- Verification records retained for the audit trail; terms set by contract
Training on your documents
- TamperCheck.ai
- Never
- Entrust
- Governed by contract, not published
| TamperCheck.ai | Entrust | |
|---|---|---|
| Detection depth | ||
| Documents covered | 100+ document types from 190+ countries | 2,500+ identity document types across 195 countries (their claim) |
| Forensic checks per document | 200+ forensic layers on every upload | ID authenticity plus biometric liveness and face match |
| AI-generated documents | Dedicated synthesis pass, resolved to the field | Deepfake defences aimed at the selfie and ID capture, not at uploaded paperwork |
| Image forgery detection | Pixel-level: splice, resave and edge-sharpness deltas | On identity documents, against a template library |
| PDF & file structure | Objects, fonts, metadata and editor traces | Not the product - the unit of work is a capture session |
| Digital signature certificates | Issuer and trust chain verified | Not publishedLimited |
| Field-level alteration | Yes - the altered field named and located | Pass or fail on the identity check |
| Scans, photos & physical marks | Stamps, embossing, signatures, print artefacts | ID security features - holograms, fonts, printing |
| Automated QC on findings | Every finding re-validated before you see it | Not publishedLimited |
| What you get back | A verdict, the field named, in plain English | A verified / not-verified decision about a person |
| Speed & cost | ||
| Time to verdict | About a minute, unattended | Seconds per session |
| Price per document | $0.50, published | Not published - quoted by volume |
| Commitment | None - no seat fees, no minimum, no cap | Annual enterprise contract |
| How you start | Self-serve - first top-up matched free, live the same day | Sales-led - demo and procurement first |
| Data handling | ||
| Document retention | Zero - analysed in memory, never written to disk | Verification records retained for the audit trail; terms set by contract |
| Training on your documents | Never | Governed by contract, not published |
When to choose TamperCheck
- You already have capture and onboarding sorted. You just need a deep tamper and AI adjudication pass on the file bytes.
- You want managed AI inference, published per-document pricing, and an ephemeral document story - without buying a full IDV suite.
- You're building internal or B2B tools where a lightweight verdict endpoint makes more sense than rolling out consumer-grade liveness flows.
- Digital signatures are verified, not just displayed. When a document carries one, we resolve the certificate itself: who issued it, whether that issuer is on a trusted list, and whether the chain is complete.
When to choose Entrust
- You need regulated KYC out of the box: liveness, face match, watchlists, vendor attestations for identity programmes.
- Your product is consumer onboarding and you want mobile SDKs and hosted journeys, not just server-side PDF analysis.
- Procurement wants a named global IDV backed by an established enterprise security vendor with broad country coverage and support SLAs.
Full identity suite vs. specialist document forensics
Entrust's natural buyer is building identity verification as a capability: who is this person, does the selfie match the ID, is the session real? That question didn't change when Entrust acquired Onfido in 2024 - the same IDV stack is now sold inside a larger identity and security portfolio. TamperCheck's buyer is asking something narrower: is this PDF or image internally consistent, and what looks edited or AI-generated?
You might use both. Entrust for the identity journey, TamperCheck when you need forensic depth on the exact file your risk team is arguing about. The question is whether you're buying platform identity or a focused tamper API.
TamperCheck vs Entrust: common questions
Is TamperCheck an alternative to Entrust's identity verification product?
For document authenticity, yes. For identity verification, no. Entrust answers whether a person is who they claim to be. TamperCheck answers whether a document is what it claims to be - including the bank statements, payslips and certificates that never pass through an onboarding session.
What happened to Onfido - is it the same as Entrust?
Onfido was acquired by Entrust in April 2024. Its document and biometric identity verification technology is the same lineage, now sold as Entrust Identity Verification inside Entrust's broader portfolio of identity and security products rather than as a standalone company. Anyone evaluating "Onfido" today is evaluating Entrust's product and sales process.
Can I use Entrust and TamperCheck together?
Yes, and many teams do. Entrust handles the identity journey at signup. TamperCheck handles every document that arrives afterwards - income proof, address proof, invoices, credentials - with per-field tamper analysis and AI-generation detection. Different halves of the trust chain.
Which one detects AI-generated documents?
TamperCheck runs a dedicated AI-generation pass on every upload and localises the finding to the individual field. An IDV platform's document checks are built around the capture session and identity documents. Documents submitted by email or through your own forms are outside that flow entirely.
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