Free PDF Check

Immigration Document Fraud Detection

Q: Can HTPBE detect tampering in a Certificate of Sponsorship PDF?

Yes. HTPBE analyses the PDF’s internal structure, edit history and digital signature integrity to detect whether the document was modified after its original creation. This works on Certificates of Sponsorship, recommendation letters, bank statements, and any other PDF document.

Q: Do I need the original document to detect tampering?

No. HTPBE performs one-sided forensic analysis on the single submitted file. No baseline copy or original is required. The analysis works on the file itself.

Q: Can HTPBE detect tampering in a recommendation letter signed digitally by an employer?

Yes. HTPBE detects edits made to a digitally signed letter after signing and surfaces them as MODIFIED at certain confidence, with named markers. For letters without a digital signature, tampering is detected from the file’s structure and edit history, though confidence is lower than for signed documents.

Built for fraud ops at lending, insurance & compliance teams

Detect structural modifications in visa documents before submission. One fraudulent filing – an edited bank statement, a forged recommendation letter, a fake Certificate of Sponsorship, an altered employment contract – can trigger a compliance audit or revoke your sponsor licence. HTPBE? catches both fake and tampered PDFs invisible to the naked eye.

~3 sec

per document

63 checks

forensic layers

1,500+

docs / month on Growth

Plans

subscriptions or one-off packs – see pricing

Also available in:Deutsch Français Español Italiano Nederlands Polski

Scope

HTPBE? analyzes the structural layer of the PDF file – the layer that records every edit, even invisible ones. We don’t inspect passport biometrics, holograms, or scanned-image authenticity, and we don’t replace right-to-work or sponsor-licence fraud-detection systems. If your fraud problem is a tampered or fabricated supporting PDF (employment letter, salary slip, education certificate, financial proof), we’re the most specific tool for it.

INCONCLUSIVE meaning is context-dependent: institutional documents (bank statements, government issuances) → INCONCLUSIVE is a reason to escalate to manual review; small-employer letters and personal documents → INCONCLUSIVE is the expected baseline, requires combining with other markers before flagging.

The problem

Why visual review misses tampered immigration documents

Immigration consultants and global mobility teams process hundreds of supporting documents per month – bank statements, recommendation letters, employment contracts, Certificates of Sponsorship. A single fraudulent document in a visa application can trigger a sponsor licence audit, suspension, or revocation.

Visual inspection catches obvious forgeries: wrong fonts, misaligned logos, spelling errors. But modern PDF editing tools produce documents that are visually indistinguishable from originals. The modifications exist only in the file’s internal structure.

HTPBE? analyses the PDF’s internal structure to detect whether a document was modified after its original creation – regardless of how convincing it looks on screen. No baseline copy required, no original document needed for comparison.

Compliance risks from fraudulent filings

Sponsor licence revocation risk from fraudulent filings
Altered bank statements meeting visa financial requirements
Post-signature edits invisible to visual review
Recommendation letters forged after original signing

What this looks like

Document fraud in 2026 – three concrete patterns

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

Sponsor licence revocation risk from fraudulent filings

Altered bank statements meeting visa financial requirements

Post-signature edits invisible to visual review

Recommendation letters forged after original signing

63 layers

Forensic checks per document

~3 sec

Median analysis time, end to end

The detection gap

KYC platforms check the document. HTPBE? checks the file.

Two different checks – both matter.

KYC & identity platforms

Plaid · Persona · Alloy · Jumio

Is this a real bank statement template?
Does the account number match the identity?
Is the document format consistent with the issuing bank?

Detects fake documents. Does not detect edited real documents.

HTPBE? tamper detection API

Structural PDF integrity

Was this specific PDF file modified after it was generated?
Does the file carry evidence of editing after export?
Were digital signatures valid at the time of signing?

Catches edits invisible to visual review and template checks.

Results in under 3 seconds·30 to 1,500+ documents/month

What HTPBE? checks

What the API detects in immigration documents

Six forensic layers analyzed on every submission

Editing-tool traces

Traces of a PDF editing tool show the file was processed after it was first created.

Multiple revision layers

A supporting document edited and re-saved after its original creation carries structural evidence of the edit – the most common structural sign of tampering.

Dates that disagree

When the dates recorded inside a document disagree with each other, HTPBE? flags it – a direct indicator that the file was altered after issuance.

Signature tamper detection

HTPBE? detects edits made after a document was digitally signed and flags signatures that were removed, both surfaced as MODIFIED at certain confidence.

Rebuilt-from-scratch PDFs aren’t cleared

A bank statement, Certificate of Sponsorship or government letter exported directly from Word, Excel or LibreOffice, with nothing indicating later editing, comes back INCONCLUSIVE – not INTACT – however closely it copies the issuer’s layout; MODIFIED when the file itself carries evidence of editing or fabrication.

Multi-source page assembly

HTPBE? detects documents assembled from pages of different sources – for example, a genuine page combined with pages produced elsewhere.

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.

Full API reference for engineering

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

Secure your workflow View API docs

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

Can HTPBE? detect tampering in a Certificate of Sponsorship PDF?

Yes. HTPBE? analyses the PDF’s internal structure, edit history and digital signature integrity to detect whether the document was modified after its original creation. This works on Certificates of Sponsorship, recommendation letters, bank statements, and any other PDF document.

Do I need the original document to detect tampering?

No. HTPBE? performs one-sided forensic analysis on the single submitted file. No baseline copy or original is required. The analysis works on the file itself.

What does INCONCLUSIVE mean for a bank statement submitted for a visa application?

For a bank statement, INCONCLUSIVE is a reason to escalate to manual review, not proof of fraud. INCONCLUSIVE means HTPBE? cannot confirm the file as an untouched original. A statement exported directly from Word, Excel or LibreOffice, with nothing indicating later editing, lands here rather than at INTACT, however closely it copies the bank’s layout.

Can HTPBE? detect tampering in a recommendation letter signed digitally by an employer?

Yes. HTPBE? detects edits made to a digitally signed letter after signing and surfaces them as MODIFIED at certain confidence, with named markers. For letters without a digital signature, tampering is detected from the file’s structure and edit history, though confidence is lower than for signed documents.

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