1 in 8 rental applications contains fabricated documents

Catch fake pay stubsbefore you sign the lease.

DocuVerify detects edited pay stubs, forged employment letters, and identity mismatches in 3–5 minutes. You get a decision-ready report — not raw analysis. Built for Canadian leasing agents.

Free during early access · No credit card · Cancel anytime

Stored in Canada (AWS ca-central-1)
PIPEDA-aligned privacy
Auto-delete after 30 days
Sample report

What an agent actually receives

Every verification produces a structured report — not raw analysis. Verdict, confidence score, fraud flags, and a recommended action. Everything is explainable.

MC

Michael Chen

225 Wellesley St E, Toronto · Submitted Apr 28, 2026

Verdict

Medium risk

Confidence

86 / 100

Generated

3 min 42 sec

Recommended action

Request one additional pay stub before approval

Stated income (~$6,800/mo) is 12% above what bank deposits support over the last 60 days. All other documents pass. Owner-share summary is ready to send once income is reconciled.

Identity verification

Passed

Government ID matches name across all 4 documents

  • Driver's licence — name + DOB match application form
  • Photo legibility check passed (98% confidence)
  • Document not flagged in known-template database

Employment verification

Passed

Employer verified via independent domain lookup

  • Employer letter signed by HR contact at registered Maple Tech Solutions domain
  • Letter creation date precedes application by 9 days (consistent)
  • PDF metadata: created in Microsoft Word, no font-substitution markers

Income verification

Flagged

Stated income inconsistent with bank statement deposits

  • Stated monthly income: $6,800
  • Average payroll deposits (last 60 days): $6,070
  • Variance: 12% — above 8% tolerance threshold
  • Pay stub itself shows no font/structure anomalies

Cross-document consistency

Passed

Names, employers, and dates match across all submitted documents

  • Name match: 4 of 4 documents (incl. middle initial)
  • Employer match: pay stub ↔ employment letter ↔ T4
  • No duplicate file hashes or reused application templates

Fraud signals

Edited pay stub fieldsClear
Forged HR letterheadClear
Identity mismatchClear
Income vs. depositsFlag
Reused application templateClear
PDF tampering metadataClear

Full audit trail available · Raw documents auto-delete in 30 days

Real reports are anonymized for tenant privacy. Sample shown is representative of typical output.

How it works

From upload link to decision in 3–5 minutes

Four steps. Zero guesswork. The same workflow agents already use — only faster, more consistent, and with explainable signals.

  1. 01

    Create your checklist

    Define exactly which documents you need for the listing — government ID, pay stubs, employment letter, T4, bank statements. Reusable per property.

  2. 02

    Tenant uploads via private link

    They click your link, upload from any device — no account, no app install. Camera capture for IDs, HEIC and PDF supported. Resumable across sessions.

  3. 03

    System analyzes every document

    Five signal dimensions checked in parallel: PDF structure, visual integrity, content extraction, cross-document consistency, and behavioral patterns.

  4. 04

    You receive a decision-ready report

    Risk verdict (High / Medium / Low), confidence score, fraud flags, and a recommended action — not raw analysis. Share a clean summary with the property owner.

Average turnaround: 3 min 42 sec

Across all five signal dimensions, including LLM extraction and cross-document consistency.

3–5 min

vs 3–5 hours manual

What we detect

Concrete fraud signals — not vague risk scores

Every flag in a DocuVerify report points to a specific signal in a specific document. No black-box analysis. If it's flagged, you'll know exactly why.

Edited pay stubs

Catches numerical alterations, font substitution, and structural anomalies invisible to the naked eye.

Specific checks

  • Font and kerning consistency across line items
  • PDF metadata: regenerated streams, suspicious producer history
  • Layout grid analysis — copy-paste residue and misaligned text
  • YTD math reconciliation against per-period values

Forged employment letters

Validates HR letterhead authenticity, sender domain consistency, and template reuse across applications.

Specific checks

  • Sender domain ↔ employer registration cross-check
  • Letterhead template fingerprinting against known forgery sets
  • PDF creation tool inspection (Word vs. screenshot vs. scan)
  • Date plausibility — letter creation vs. application timeline

Identity mismatches

Flags ID documents that don't match the application or that show signs of tampering.

Specific checks

  • Name + DOB consistency across all submitted documents
  • Government ID format validation (province-specific)
  • Photo legibility + crop heuristics
  • Cross-reference against known stolen-template registries

Cross-document inconsistencies

Detects mismatches between pay stub, T4, employment letter, bank statements, and ID documents.

Specific checks

  • Name and employer match across all documents
  • Stated income vs. T4 vs. bank deposit reconciliation
  • Employment dates vs. tax year vs. application form
  • File-hash duplication and reused application templates
Real fraud patterns

Patterns we've caught — and what makes them detectable

These are anonymized patterns from real applications. Manual review misses most of them. DocuVerify surfaces them with a specific signal name and the document where it was found.

Most common

Edited income field on a real pay stub

Tenant uses a genuine pay stub PDF and edits the YTD income upward. The pay-period math no longer reconciles — DocuVerify catches it on YTD math validation and font kerning shifts around the edited cell.

Detection method

PDF structure + visual integrity

Rising fast

Fake HR letter from a free template

Tenant downloads a generic 'employer letter template,' fills in a real-sounding company name, and signs as 'HR Manager.' The letterhead matches a known template fingerprint and the signing email isn't tied to the company's domain.

Detection method

Template fingerprinting + domain check

Co-applicant fraud

Recycled application across listings

Same tenant submits the same document set to multiple listings within days. File hashes match across applications. Suggests bot-driven mass applications or organized fraud rings.

Detection method

File-hash deduplication

Subtle but frequent

Stated income above bank deposits

Pay stub looks pristine, but bank statements show payroll deposits 10–20% lower than the stated salary. May indicate fabricated pay stub OR undisclosed income volatility. Either way — agent gets a flag with the exact variance.

Detection method

Cross-document reconciliation

Easy to miss manually

ID with mismatched name spelling

Application says 'John Smith.' ID says 'Jonathan A. Smith.' Pay stub says 'J. Smith.' Each individually defensible — together suggests identity blending (common in stolen-ID scenarios).

Detection method

Cross-document identity match

Tampering signal

PDF created from a screenshot

Document submitted as a PDF but PDF metadata shows it was created from a screenshot or image — not from the original payroll system. Often used to obscure edits made in image editors before re-saving as PDF.

Detection method

PDF producer + metadata analysis

Manual vs. DocuVerify

What changes when verification is automated

DocuVerify doesn't replace your judgment — it removes the parts that don't scale and gives you a defensible record for every decision.

Time per applicant

Manual review

45 min – 3 hrs

DocuVerify

3–5 min

Fraud detection capability

Manual review

Visual eyeballing — misses font/metadata anomalies

DocuVerify

5 signal dimensions across PDF, visual, content, cross-doc, behavioral

Consistency across applicants

Manual review

Varies by agent fatigue and experience

DocuVerify

Identical checks every time

Audit trail

Manual review

Notes in CRM, screenshots, memory

DocuVerify

Timestamped report with every signal explained

Decision clarity

Manual review

Gut feeling + checklist

DocuVerify

Explicit verdict (High / Medium / Low) + recommended action

Owner-share output

Manual review

Forward raw documents (privacy risk)

DocuVerify

Clean read-only summary, no raw files exposed

Cost per verification

Manual review

$50–150 in agent time (loaded)

DocuVerify

Free during early access · $1.65 on Pro plan

Agent reviews

Toronto agents trust DocuVerify

50+ leasing agents across the GTA are using DocuVerify in early access — completely free during the beta.

I had an applicant with a perfect-looking pay stub. DocuVerify flagged inconsistent font metrics on the income line. The numbers had been edited. That avoided a placement that would've cost my owner six months at the LTB.

Sarah M.

Leasing Agent · Royal LePage Terrequity Realty

Midtown Toronto

I manage 15+ active listings. I used to spend 45 minutes per applicant eyeballing PDFs. Now I send a link, get the report in 4 minutes, and the verdict is clear — approve, request more, or decline. My landlord clients think I run a background-check operation.

James T.

Sales Representative · Keller Williams Co-Elevation Realty

Downtown Toronto

PIPEDA compliance and Canadian data storage were the first things I checked. Documents purge after 30 days, every flag is explainable, and the report makes any decision defensible if a tenant complaint comes back to us. My lawyer signed off.

Priya K.

Broker of Record · RE/MAX Hallmark Realty

North York

50+

agents in early access

< 5 min

average report time

30 days

document retention (Pro)

100%

Canadian data storage

Trust & compliance

Built for handling regulated tenant data

Real estate is a fiduciary business. Your verification tool needs to hold up to a tenant complaint, an LTB hearing, and a brokerage compliance audit. Here's how we're built for that.

PIPEDA-aligned by design

Built to Canada's Personal Information Protection and Electronic Documents Act. Tenant consent is explicit at upload. Data collection is minimal — we don't ask for SIN, credit consent, or banking credentials.

Data stays in Canada

All tenant documents and verification reports are stored in AWS ca-central-1 (Montreal). Nothing crosses the border. No US-based data residency, no third-country sub-processors.

Documents auto-delete in 30 days

S3 lifecycle policy enforces deletion 30 days after the agent completes review. Tenants are told this at upload. Reports remain in your account for audit, raw documents do not.

Every flag is explainable

No black-box models. Every signal in a report points to the specific document, the specific check, and the specific tolerance threshold that was crossed. You can defend every decision.

We don't resell your data

Tenant data is used solely to produce your verification report. We don't sell, share, or syndicate any data to third parties — not to credit bureaus, not to advertisers, not to other landlords.

Encryption end-to-end

TLS 1.3 in transit. AES-256 at rest in S3. Signed URLs with short TTLs for every document fetch. Token hashes only — plaintext upload tokens never touch the database.

AWS ca-central-1 (Montreal) TLS 1.3 + AES-256 SHA-256 token hashing 30-day retention default
Pricing

Priced per verification report

Compare to $50–$150 of agent time per applicant on manual review. All plans free during early access — Pro agents lock in 50% off forever.

Free

$0 CAD

3 reports / month

Try a full verification report on real applications — no commitment.

  • 3 verification reports per month
  • Core PDF & visual fraud signals
  • Identity + employment + income checks
  • 7-day document retention
  • Owner share link
  • No credit card required
Join early access
Most popular

Pro

$49 CAD

≈ $1.65 per report at 30/mo

For agents running multiple listings — verify every applicant in minutes.

  • Unlimited verification reports
  • All 5 fraud signal dimensions
  • Cross-document consistency engine
  • 30-day document retention
  • Priority processing (< 2 min)
  • Branded share links
  • Audit-trail CSV export

Early access: free until launch, then 50% off for life

Get early access

Enterprise

Custom

volume pricing per report

For brokerages running shared application pipelines across multiple agents.

  • Everything in Pro
  • Shared team inbox + assignment
  • Brokerage-wide audit dashboard
  • API + webhook access
  • Custom retention + DPA
  • Bulk processing
  • Dedicated account manager
Request access

Join the early access list

All plans are free during early access. Lock in Pro at 50% off for life.

All prices in CAD · No credit card required during early access · Cancel anytime

FAQ

Questions & answers

Still have questions? Join early access and we will be in touch.

Make confident rental decisionswithout guessing.

Stop second-guessing pay stubs and employment letters. Send a link, get a structured report in 3–5 minutes, defend every decision with an audit trail.

Free during early access · No credit card · Data stored in Canada