Choosing a document verification partner is a significant decision. This page helps procurement and operations teams understand how TamperCheck compares to Fortiro - 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
- Fortiro
- Payslips, bank statements, tax documents and invoices - PDF, scan, image or screenshot
Forensic checks per document
- TamperCheck.ai
- 200+ forensic layers on every upload
- Fortiro
- Content, visual, metadata and digital forensic properties
AI-generated documents
- TamperCheck.ai
- Dedicated synthesis pass, resolved to the field
- Fortiro
- Detects synthetic AI-generated content (their claim)
Image forgery detection
- TamperCheck.ai
- Pixel-level: splice, resave and edge-sharpness deltas
- Fortiro
- Yes, tuned to ANZ financial documents
PDF & file structure
- TamperCheck.ai
- Objects, fonts, metadata and editor traces
- Fortiro
- YesPartial
Malware & file safety scanning
- TamperCheck.ai
- On every upload
- Fortiro
- Not advertised
Digital signature certificates
- TamperCheck.ai
- Issuer and trust chain verified
- Fortiro
- Not publishedLimited
Field-level alteration
- TamperCheck.ai
- Yes - the altered field named and located
- Fortiro
- A fraud risk score plus the rules that failed
Scans, photos & physical marks
- TamperCheck.ai
- Stamps, embossing, signatures, print artefacts
- Fortiro
- Scans, photos and screenshots accepted
Automated QC on findings
- TamperCheck.ai
- Every finding re-validated before you see it
- Fortiro
- Not publishedLimited
What you get back
- TamperCheck.ai
- A verdict, the field named, in plain English
- Fortiro
- A document-level fraud risk score
Time to verdict
- TamperCheck.ai
- About a minute, unattended
- Fortiro
- About 30 seconds (their claim)
Price per document
- TamperCheck.ai
- Per document, published
- Fortiro
- Not publishedLimited
Commitment
- TamperCheck.ai
- None - no seat fees, no minimum, no cap
- Fortiro
- Contracted, integrated with your loan origination system
How you start
- TamperCheck.ai
- Self-serve - first top-up matched free, live the same day
- Fortiro
- Sales-led; drag-and-drop UI or API once contracted
Document retention
- TamperCheck.ai
- Zero - analysed in memory, never written to disk
- Fortiro
- Not stored beyond the initial processing period (their claim); ISO 27001
Training on your documents
- TamperCheck.ai
- Never
- Fortiro
- Not addressed in published material
| TamperCheck.ai | Fortiro | |
|---|---|---|
| Detection depth | ||
| Documents covered | 100+ document types from 190+ countries | Payslips, bank statements, tax documents and invoices - PDF, scan, image or screenshot |
| Forensic checks per document | 200+ forensic layers on every upload | Content, visual, metadata and digital forensic properties |
| AI-generated documents | Dedicated synthesis pass, resolved to the field | Detects synthetic AI-generated content (their claim) |
| Image forgery detection | Pixel-level: splice, resave and edge-sharpness deltas | Yes, tuned to ANZ financial documents |
| PDF & file structure | Objects, fonts, metadata and editor traces | YesPartial |
| Malware & file safety scanning | On every upload | Not advertised |
| Digital signature certificates | Issuer and trust chain verified | Not publishedLimited |
| Field-level alteration | Yes - the altered field named and located | A fraud risk score plus the rules that failed |
| Scans, photos & physical marks | Stamps, embossing, signatures, print artefacts | Scans, photos and screenshots accepted |
| 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 document-level fraud risk score |
| Speed & cost | ||
| Time to verdict | About a minute, unattended | About 30 seconds (their claim) |
| Price per document | Per document, published | Not publishedLimited |
| Commitment | None - no seat fees, no minimum, no cap | Contracted, integrated with your loan origination system |
| How you start | Self-serve - first top-up matched free, live the same day | Sales-led; drag-and-drop UI or API once contracted |
| Data handling | ||
| Document retention | Zero - analysed in memory, never written to disk | Not stored beyond the initial processing period (their claim); ISO 27001 |
| Training on your documents | Never | Not addressed in published material |
When to choose TamperCheck
- You need the specific tampered field identified - which number was edited and where on the page - not a document-level risk score your analysts still have to chase down.
- Your documents span passports, IDs, invoices, degrees, medical reports, and leases across 190+ countries, not only ANZ payslips and bank statements.
- You need AI-generated and deepfake documents caught as a first-class check, alongside conventional edits to genuine files.
- You want per-document pricing, published - a cost per decision you can forecast - and the check running in your process within days, not after a quarter-long rollout.
- The cryptographic layer gets the same scrutiny as the pixels. On signed documents we check the signature certificate - issuer, trust-list membership, chain of trust - alongside the metadata and image checks.
When to choose Fortiro
- You're an Australian lender or bank and need a vendor with deep ANZ regulatory expertise and existing relationships with major institutions.
- You want a managed platform with investigator UI, PDF reports, and hands-on onboarding support.
- You need income verification and redaction bundled alongside fraud detection as a complete document processing suite.
- You value vendor-managed third-party lookups - government data sources, IBAN checks - as part of your verification workflow.
Field-level forensics vs. financial-document risk scoring
The clearest technical difference is resolution. Most document fraud platforms, Fortiro included, score a document and surface the rules it failed. TamperCheck resolves the analysis to the individual OCR field: font weight, kerning, glyph rendering, edge sharpness, recompression history, black-floor level - each compared against the rest of the page. That's how it catches smoothed and re-rendered edits, the kind where a fraudster rebuilds a number cleanly enough that whole-image ELA shows nothing.
The second difference is scope. Fortiro is deep on ANZ financial documents - payslips, bank statements, tax records - with template knowledge and third-party data lookups tuned to that market. TamperCheck runs the same forensic pipeline across 100+ document types from 190+ countries, with dedicated AI-generation and deepfake detection for documents that were synthetic from the start.
Fortiro has earned real standing in the Australian lending market and pairs detection with income extraction, redaction, and an analyst UI. If your document mix never leaves ANZ financial formats and you want that workflow layer bought rather than built, their suite covers more of the surrounding process. What it doesn't return is the edited field - and that's precisely the part an analyst has to defend.
TamperCheck vs Fortiro: common questions
What is the best Fortiro alternative?
TamperCheck.ai, especially outside Australia and New Zealand. Fortiro is deep on ANZ payslips, bank statements and tax records. TamperCheck runs the same forensic pipeline on 100+ document types from 190+ countries, names the altered field rather than scoring the document, and publishes its per-document pricing.
Does TamperCheck detect AI-generated payslips?
Yes. Alongside 200+ forensic layers it runs a dedicated AI-generation and deepfake pass, because a generated payslip carries no edit history for conventional tamper checks to find. The finding still resolves to the field, so a reviewer sees which figure is inconsistent with the rest of the page.
Can TamperCheck verify documents from multiple countries in one integration?
Yes - one endpoint covers every supported document type and issuing country, with no per-type or per-country setup. That matters most for lenders and employers assessing applicants who present foreign income and identity documents alongside domestic ones.
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