Choosing a document verification partner is a significant decision. This page helps procurement and operations teams understand how TamperCheck compares to Microblink - 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
Side-by-side
| What matters to your team | TamperCheck.ai | Microblink |
|---|---|---|
| AI-generated documents | Dedicated synthesis and deepfake pass on every upload | Focused on capture quality and on-device scanning |
| Core focus | Server-side document tampering | On-device mobile capture and extraction |
| Data retention | Zero storage (ephemeral processing) | On-device processing (BlinkID) or cloud API |
| Pricing | $0.50 per document (pay-as-you-go) | Commercial license / volume tiers |
| AI model control | Managed AI inference | Vendor-managed models |
| Integration effort | One integration covers all 100+ document types | Mobile SDKs (iOS/Android) + Web APIs |
| Detection method | 130+ forensic layers (pixels, metadata, fonts) | Capture quality + authenticity checks |
| Time to production | Same day - no implementation project | Weeks (Mobile app release cycles) |
| Trial access | $5 start, matched to $10 | Developer trial / Sales |
When to choose TamperCheck
- Documents arrive server-side (email, back-office, partner uploads) and you need forensic analysis without a camera SDK.
- You want managed AI inference and $/doc pricing for batch or API workloads.
When to choose Microblink
- You’re optimizing mobile onboarding UX with scanning, NFC, and on-device performance.
- You need BlinkID-class capture as part of a consumer identity journey.
Backend forensics vs. client capture excellence
Microblink’s job ends the moment a clean image leaves the user’s phone. TamperCheck’s begins with the file already in your system - including every document that never passed through anyone’s camera - and returns field-level, explainable tamper signals an analyst can act on.
Many teams use both layers: great capture up front, and a second-line forensic API when a document still looks wrong-or when the file never went through your app camera at all.
TamperCheck vs Microblink: common questions
Is Microblink a document fraud detection tool?
Microblink's core strength is capture - getting a clean, well-framed image from a user's phone, with on-device scanning and NFC reading. Forensic analysis of an arbitrary uploaded PDF or emailed scan, and detection of documents generated by AI, is a different problem and the one TamperCheck is built for.
Can I use Microblink for capture and TamperCheck for verification?
Yes - it is a natural pairing. Capture the document cleanly at the front end, then pass the resulting file to TamperCheck for 130+ forensic layers, per-field tamper localisation and AI-generation detection. Neither product duplicates the other.
Does TamperCheck work on phone photos and scans?
Yes. Camera captures, flatbed scans and native PDFs are all first-class inputs, including physical stamp verification and handwritten signature analysis. Documents that arrive by email or through your own web forms - never touching a capture SDK - are the common case.
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