Snappt bundles income verification for US property managers with a fraud check that scans metadata and flags edits. Teams add or switch to TamperCheck when the fakes getting through were generated whole, when applicants can't connect payroll, or when they need field-level reasons and published per-document pricing.
Why teams look for a Snappt alternative
- The fakes you're finding late were never edited. Snappt's own blog describes a system that scans a document's metadata and flags changes “as edited”. A pay stub generated from scratch has no change to flag and metadata written once - so it passes the kind of check it was never built to trip.
- Payroll connectivity doesn't reach everyone. Snappt's published answer to generated documents is to verify income at the source instead. Gig workers, the self-employed, new arrivals and applicants with foreign employers can't connect - they still upload a file, and that's where the generated fake arrives.
- A pass/fail recommendation is hard to defend. When an application is declined, your team needs a reason it can repeat to the applicant and to a regional manager - not just a result.
- The price isn't published, and neither is every check. Standard, Professional and Enterprise bundles are quoted through sales, and Synthetic Identity Detection is an add-on reserved for the upper two tiers.
Documents covered
- TamperCheck.ai
- 100+ document types from 190+ countries
- Snappt
- 12 categories - pay stubs, bank statements, tax transcripts, utility bills, benefit letters - from 2,000+ financial institutions (their claim)
Forensic checks per document
- TamperCheck.ai
- 200+ forensic layers on every upload
- Snappt
- 10,000+ document features; AI trained on 16M+ documents (their claim)
AI-generated documents
- TamperCheck.ai
- Dedicated synthesis pass, resolved to the field
- Snappt
- No dedicated synthesis pass published - a forensics team updates models, and payroll connections are offered as a route around the document
Image forgery detection
- TamperCheck.ai
- Pixel-level: splice, resave and edge-sharpness deltas
- Snappt
- Not published as a separate layer - the method is described as metadata and feature checks
PDF & file structure
- TamperCheck.ai
- Objects, fonts, metadata and editor traces
- Snappt
- Yes - “thousands of metadata elements” (their claim)
Digital signature certificates
- TamperCheck.ai
- Issuer and trust chain verified
- Snappt
- Not publishedLimited
Field-level alteration
- TamperCheck.ai
- Yes - the altered field named and located
- Snappt
- A pass/fail recommendation per document
Scans, photos & physical marks
- TamperCheck.ai
- Stamps, embossing, signatures, print artefacts
- Snappt
- Applicant uploads inside the leasing flow
Automated QC on findings
- TamperCheck.ai
- Every finding re-validated before you see it
- Snappt
- “Fraud Analyst Review” listed as a feature; per-finding QC not published
What you get back
- TamperCheck.ai
- A verdict, the field named, in plain English
- Snappt
- A pass/fail recommendation in the property-management dashboard
Time to verdict
- TamperCheck.ai
- About a minute, unattended
- Snappt
- 10 minutes or less (their claim)
Price per document
- TamperCheck.ai
- $0.50, published
- Snappt
- Not published - Standard, Professional and Enterprise bundles, quoted
Commitment
- TamperCheck.ai
- None - no seat fees, no minimum, no cap
- Snappt
- Bundled leasing contract; Synthetic Identity Detection only on Professional and Enterprise
How you start
- TamperCheck.ai
- Self-serve - first top-up matched free, live the same day
- Snappt
- Talk to sales
Document retention
- TamperCheck.ai
- Zero - analysed in memory, never written to disk
- Snappt
- “No longer than is reasonably necessary” - no fixed period published
Training on your documents
- TamperCheck.ai
- Never
- Snappt
- AI trained on 16M+ documents; policy lets de-identified data be used and shared “without limitation”
| TamperCheck.ai | Snappt | |
|---|---|---|
| Detection depth | ||
| Documents covered | 100+ document types from 190+ countries | 12 categories - pay stubs, bank statements, tax transcripts, utility bills, benefit letters - from 2,000+ financial institutions (their claim) |
| Forensic checks per document | 200+ forensic layers on every upload | 10,000+ document features; AI trained on 16M+ documents (their claim) |
| AI-generated documents | Dedicated synthesis pass, resolved to the field | No dedicated synthesis pass published - a forensics team updates models, and payroll connections are offered as a route around the document |
| Image forgery detection | Pixel-level: splice, resave and edge-sharpness deltas | Not published as a separate layer - the method is described as metadata and feature checks |
| PDF & file structure | Objects, fonts, metadata and editor traces | Yes - “thousands of metadata elements” (their claim) |
| Digital signature certificates | Issuer and trust chain verified | Not publishedLimited |
| Field-level alteration | Yes - the altered field named and located | A pass/fail recommendation per document |
| Scans, photos & physical marks | Stamps, embossing, signatures, print artefacts | Applicant uploads inside the leasing flow |
| Automated QC on findings | Every finding re-validated before you see it | “Fraud Analyst Review” listed as a feature; per-finding QC not published |
| What you get back | A verdict, the field named, in plain English | A pass/fail recommendation in the property-management dashboard |
| Speed & cost | ||
| Time to verdict | About a minute, unattended | 10 minutes or less (their claim) |
| Price per document | $0.50, published | Not published - Standard, Professional and Enterprise bundles, quoted |
| Commitment | None - no seat fees, no minimum, no cap | Bundled leasing contract; Synthetic Identity Detection only on Professional and Enterprise |
| How you start | Self-serve - first top-up matched free, live the same day | Talk to sales |
| Data handling | ||
| Document retention | Zero - analysed in memory, never written to disk | “No longer than is reasonably necessary” - no fixed period published |
| Training on your documents | Never | AI trained on 16M+ documents; policy lets de-identified data be used and shared “without limitation” |
What switching gets you
- A dedicated AI-generation pass on every upload - not an add-on and not a model update after a generator is already in use.
- The altered field named and explained - “net pay doesn't equal gross minus deductions, and that figure is set in a heavier weight” - instead of pass/fail.
- Any applicant, any document, any country - 100+ document types from 190+ countries, with no institution database a payslip has to appear in.
- A verdict within seconds, every finding re-validated by an automated QC pass, against Snappt's stated 10 minutes or less.
- $0.50 per document, published - no bundle, no seat fees, no minimum, first top-up matched free.
- Nothing kept, nothing trained on - analysed in memory and discarded, rather than a retention period of “no longer than is reasonably necessary”.
- Signature certificates verified - on signed documents we check the certificate's issuer and its trust chain, not just the pixels above it.
When Snappt is still the better fit
- You want one leasing contract for income, ID and rent-history checks, wired into Yardi, RealPage or Entrata. That's a workflow purchase Snappt covers - and its fraud check is still metadata-led, so it's worth running TamperCheck on the documents it passes.
- Nearly all your applicants are salaried and connect payroll. Source verification sidesteps the document for them. The minority who upload a pay stub instead are the ones a forensic check exists for.
Keep the leasing workflow, change what checks the document
You don't have to rip out a leasing platform to fix a detection gap. The lowest-friction path is to keep Snappt's applicant flow and income connections, and run the uploaded documents - the pay stubs, bank statements and offer letters from applicants who couldn't connect payroll - through TamperCheck as a second opinion. Your team can start in the TamperCheck dashboard with no integration at all, then move to the API once you've seen what it finds on your own files.
Portfolios that screen beyond US multifamily - student housing with international applicants, commercial leases, or a lending or insurance arm - usually go further and make TamperCheck the document check across all of it: one engine, one published price, and one explanation format whether the file is a Chase statement or a Kenyan payslip.
Snappt alternative: common questions
Why would Snappt miss an AI-generated pay stub?
Snappt's published method scans a document's metadata and features against 2,000+ known financial institutions and flags documents that were edited. A pay stub generated from scratch was never edited and has metadata written once, so the evidence an edit-detector relies on isn't there. Catching it takes per-field rendering comparison and a dedicated AI-generation pass, which TamperCheck runs on every upload.
Can I use TamperCheck alongside Snappt?
Yes, and many teams start that way. Keep Snappt for the leasing workflow and payroll connections, and send uploaded pay stubs and bank statements to TamperCheck for field-level forensics - from the dashboard with no integration, or via the API.
Can TamperCheck replace Snappt's leasing portal?
It replaces the document check, not the leasing workflow. TamperCheck is a forensic engine with a dashboard and API, not an applicant-facing screening portal or a property-management integration - its job is to tell you whether a document is real and which field was changed.
Is TamperCheck cheaper than Snappt?
TamperCheck publishes $0.50 per document with no subscription, minimum or seat fees, and every check including AI-generation detection is included. Snappt doesn't publish prices - bundles are quoted through sales - so a direct comparison has to go through their sales process.
Does TamperCheck work for applicants outside the US?
Yes. It covers 100+ document types from 190+ countries without templates or an institution database, so an international student's bank letter or a foreign payslip is analysed to the same standard as a US pay stub.
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