Diploma & degree fraud

Fake Diploma Detection – Catch Forged Degrees

Built for fraud ops at lending, insurance & compliance teams

A fake diploma costs $40 online and qualifies someone for a job that pays six figures – visual review never sees it. BGV operators, talent ops teams, immigration officers, and licensing bodies all rely on diploma and transcript PDFs as proof of qualification. Diploma mills and fraud rings know the visual signal is trivial to copy. They mint diplomas in Microsoft Word using a real university template, edit grades, sign the registrar’s name, export to PDF. Visual review passes; the file itself is what HTPBE? judges.

~3 sec
per document
63 checks
forensic layers
1,500+
docs / month on Growth
Plans
subscriptions or one-off packs – see pricing
Scope

HTPBE? analyzes the structural layer of the PDF file – the layer that records every edit, even invisible ones. We don’t inspect holograms, embossed seals, or physical paper. If your fraud problem is a digitally fabricated or tampered diploma, degree, or transcript PDF, we’re the most specific tool for it.

When HTPBE? returns INCONCLUSIVE on a diploma or transcript, that is a reason to escalate to manual review, not proof of fraud – it means HTPBE? cannot confirm the file as an untouched original.

The problem

Modern document fraud is invisible to visual review

A growing class of document fraud opens a genuine PDF, edits a balance, a date, or a beneficiary, and re-saves it. Visually nothing changes – the document passes pixel-level review, layout review, and KYC.

Structural PDF analysis reads the layers rendering engines never expose: revision history, object structure, signature coverage maps. That is where edits leave fingerprints they cannot wipe.

Common tampering patterns

  • Modified balances or totals after export
  • Swapped IBAN or beneficiary on invoices
  • Post-signature edits on contracts
  • Backdated issue and modification dates
  • Fabricated documents from consumer PDF tools

What this looks like

How fake and tampered diplomas actually look

Three real fraud mechanics we catch at the structural PDF layer.

01

Diploma fabricated in Microsoft Word from scratch

No university involved. The applicant downloads the university crest from the public site, drops it into Word with a degree template, types the candidate name and graduation date, signs the registrar’s name, exports to PDF. However closely it copies the university’s layout, the diploma comes back MODIFIED when the file itself carries evidence of editing or fabrication, whatever tool produced it; one HTPBE? cannot confirm as an untouched original should go to manual review.

02

Real transcript with edited grades or GPA

Applicant has a genuine transcript but the grades or GPA don’t qualify them for the role, programme, or visa. They open the PDF in any editor, change the grades, re-export. HTPBE? flags the edit even when the visual layout looks pixel-perfect.

03

Diploma from a diploma-mill or fictional institution

A ‘university’ name nobody can check, with a polished diploma at a high credential level. HTPBE? reads the file, not the institution: a diploma comes back MODIFIED when the file itself carries evidence of editing or fabrication, whatever tool produced it and whether or not the named institution exists. INCONCLUSIVE means HTPBE? cannot confirm the file as an untouched original – a reason for manual review, not proof of fraud.

The scale

~30%
of resumes contain some form of credential exaggeration; outright diploma fraud is a smaller but high-impact subset
$50K+
typical first-year salary granted against a fabricated degree before discovery
~3 sec
per diploma or transcript via API

Why your existing checks miss this

Credential-check platforms check the record. They do not check the file.

And manual visual review of a diploma rarely catches a polished Word fabrication.

Credential-check platforms (National Student Clearinghouse, World Education Services, Trua, Sterling Education) check the candidate’s record against the institution’s database – this works when the institution participates and the candidate consents. But coverage is partial (international institutions, recent graduates, defunct universities, diploma mills posing as real schools), and consented checks take days to weeks. Diplomas are one subtype of the broader fake certificate detection problem, and the same structural forensics apply to professional certificates and certificates of completion. HTPBE? catches the file the candidate uploaded – instant, no consent flow, no institutional relationship required. Use both: credential checks for the record when reachable, HTPBE? for the file always.

Results in under 3 seconds30 to 1,500+ documents/month

What HTPBE? checks

Detection capabilities

Deterministic structural signals. No probabilistic scores, no model training.

The file decides, not the crest

A diploma or transcript comes back MODIFIED when the file itself carries evidence of editing or fabrication, whatever tool produced it – however closely it copies the registrar’s layout.

Signature tamper detection

Modern accredited credential-check platforms (Parchment, Digitary, MyCreds, National Student Clearinghouse) digitally sign their PDFs with the institution’s certificate. Editing a signed credential after signing, or stripping its signature, is among the things HTPBE? looks for in the file – regardless of the visual signature image.

Post-issuance edit detection

HTPBE? detects a diploma edited after issuance – whether it was changed in a PDF editor or rebuilt in other software.

Pasted crests and signatures

HTPBE? detects university crests and registrar signatures lifted from another document and pasted in – a structural fingerprint of fabrication.

Dates that disagree

HTPBE? flags a modification date that differs from the declared creation date – a high-confidence flag for post-export editing on a ‘freshly issued’ diploma.

Reused templates

HTPBE? detects documents built from a reused template – a common sign of diploma-mill output.

Share with engineering

Wire this into your intake pipeline in under a day

Two API calls – one POST to submit the PDF, one GET to retrieve the verdict. Forward this page to your engineering team; the full API reference, quotas, and copy-paste examples in cURL, JavaScript, Python, PHP, Go, and Ruby are one click away.

Pricing

Self-serve plans, no sales call

All plans include the same forensic checks. Pick the quota that matches your monthly document volume.

manual

Starter

30 credits/mo

Manual spot-checks and integration testing

most common

Growth

350 credits/mo

Active document processing pipelines

high volume

Pro

1,500 credits/mo

High-volume automation and API integrations

Enterprise (unlimited, on-premise available) — see full pricing

API key on signup. Free test environment on every plan. No card required.

Customer Stories

Teams that stopped document fraud

Compliance, finance, and risk teams use HTPBE? to catch manipulated PDFs before they become costly mistakes.

Caught an invoice where the total had been changed by less than a thousand dollars. Without this I would have approved it without a second look.

Sarah M.

AP Manager

United States

We had three applicants in the same week with bank statements that looked completely fine. Two of them were flagged as modified. You simply cannot see this by reading the document — it is in the file structure.

Lars V.

Risk Analyst, Online Lending

Netherlands

Salary slips were coming with altered figures. We identified two problematic files before the placement was finalised.

Priya K.

HR Operations Lead

India

Since we started checking documents this way, we stopped two applications early in the process that would have been very difficult to reverse later.

Julien R.

Fraud Analyst, Fintech

France

Some applicants were sending PDFs that looked authentic but had been edited in ways not visible to the eye. We now ask for checked originals when something is flagged. Already saved us from a few bad decisions.

Marta S.

Compliance Coordinator

Spain

One invoice was caught because there was a mismatch between the document dates and structure. That particular case would have cost us significantly.

Tariq A.

Finance Manager

United Arab Emirates

FAQ

Frequently asked questions

Does this work for diplomas from any university worldwide?

Yes. The analysis is producer-agnostic – it inspects whichever PDF arrives. It works the same way on diplomas from US, UK, EU, Indian, AU, CA, and international institutions. In every region, a diploma comes back modified when the file itself carries evidence of editing or fabrication, whatever tool produced it.

How is this different from National Student Clearinghouse or WES fraud detection?

NSC and WES check the candidate’s record against institutional databases – they check the fact when the institution participates and the candidate consents. HTPBE? inspects the PDF the candidate uploaded – works instantly, no consent flow, no institutional relationship required. Use both: NSC/WES for the record when reachable, HTPBE? for the file always.

Can it catch grade or GPA edits on an otherwise real transcript?

Yes. When grades or GPA are edited on a real transcript, HTPBE? flags the edit made after issuance – typically a modified verdict with named markers, even when the visual layout looks pixel-perfect.

What does an INCONCLUSIVE verdict mean for a diploma or transcript?

INCONCLUSIVE means HTPBE? cannot confirm the file as an untouched original. For diplomas and transcripts, INCONCLUSIVE is a review trigger: it is not evidence of fraud, and it is not a pass. Route the case to manual credential checks (NSC, WES, registrar contact) before hiring or licensing decisions.

Secure your workflow

Create your account – check PDFs on the web or with an API key, both ready on signup.
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