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Document Fraud Check

Detect fake documents

Forensically check documents in any format, from any country. Fraudfinder flags tampered, reused and AI-generated files in under four seconds.

Book a demoTry it on a sample statement
High Street Bank · Current account
01–30 Sep 2026
−14.09
+5,000.00
−60.00
+340.00
−22.40
−118.75
Looks clean
Checked in 3.4 seconds

Nothing flags to the human eye. The statement looks internally consistent.

Versions change detectedPrevious versions found
Anomalous fontsFont anomalies on page 2
Flagged editorEditing software detected
X-ray mode

Toggle X-ray: what your team sees, then what Fraudfinder sees.

Speed
3.4s

From upload to verdict, by API or portal. Fast enough to check every document without slowing your decision.

Approach
3 layers

Forensics on the file, external data validation against real-world sources, and enrichment into clean, reconciled data.

Pricing
Per document

Never per page. Unlimited users. No set-up fee.

Used by financial crime, risk and credit teams

Portman Finance Group logo
Ultimate Finance logo
Carmoola logo
Moneybox logo
Halo Corporate Finance logo

What we check

The tests the human eye can't run

Modern fakes look perfect on page, so we look at document structure. Here are six of the hundreds of fraud indicators we test on every file, and everything else that runs on the same upload.

Gen-AI watermark detected
01

Generative AI detection

Spot documents produced or edited with tools like ChatGPT.

Changed before it reached you
02

Version history

See what was changed or removed before the document reached you.

decodes → HX4 9AB
Barcode ≠ printed address
03

Barcode and address decoding

Decode the barcodes on letters and bills and flag when they don't match the page.

font ✗
Anomalous font · page 2
04

Font and overlay analysis

Flag text and fonts that don't belong to the genuine issuer.

creator: ILOVEPDF
producer: ChatGPT
modified: +2 min
Flagged editor detected
05

Metadata and creation tools

Flag files that weren't produced by the genuine issuer.

name    J. Okafor
sort     04-00-04
acct    ****8821
Confirmation of Payee mismatch
06

Confirmation of Payee

Ask the bank whether the name on the document really owns that sort code and account number.

Plus, on the same upload
Fraud watchlists

Every file checked against known fraudulent documents, templates and tools.

Reused documents

Catch the same file or template turning up across different applicants.

Bank balance reconciliation

Opening balance, every transaction and closing balance rebuilt line by line.

Image and structure analysis

Pasted blocks and patched areas in scans and photos.

Translation

Documents in any language translated and checked in the same pass.

Address verification

The address on the application checked against the one in the file.

Data extraction

Names, balances and transactions returned as structured data.

AI summary and chat

Every flag explained in plain English. Ask follow-up questions.

Custom rules

Rules built around your risk appetite and the fraud you see.

Every document

Whatever the document, wherever it's from

If it's a PDF or an image, we can check it. Statements from any bank, payslips from any employer, bills from any supplier, in any language, translated and checked in the same pass. We're trained on millions of documents from around the world and learn from thousands more every day. We can train new documents in minutes.

Bank statements

Payslips

Utility and council tax bills

Invoices

P60s and tax returns

Company accounts and filings

Mortgage and loan statements

Vehicle logbooks (V5C)

No claims letters

Solicitor and proof of funds letters

ID documents

Scans and photos

What we look for on the documents you see most

01Bank statements
  • Checked against genuine issuer formats
  • Balance reconciliation
  • Account holder confirmed with the bank (CoP)
02Payslips
  • Pay, tax and NI consistency
  • Font, metadata and version checks
  • Matched to statement credits
03Utility bills
  • Account numbers validated
  • Barcode decoding
  • Edits and templates flagged
04Invoices
  • Edited totals and line items
  • Supplier bank details via CoP
  • Font, metadata and version checks
05Tax documents
  • AI-generated document checks
  • Edits to figures and dates
  • Font, metadata and version checks

One applicant, run through a typical stack

Your existing checks
ID and KYCPassed
Credit bureauPassed
Open BankingNot shared
+ Fraudfinder
The documents they sentBank statement, payslip
Edited

Everything else said yes. The statement had been changed.

Fits your stack

Catch the fraud other checks miss.

ID, bureau and Open Banking checks don't look inside the documents. Fraudfinder does, and clears the genuine ones automatically.

Live in under an hour, with a drag-and-drop portal

REST API into your decision engine when you're ready

No change to how brokers or customers send documents

Proof

The teams already running it, in their words

Lenders, fintechs and gambling operators use Fraudfinder to stop fraud before the money goes out.

Who it's for

Used wherever a document decides the deal

If your team decides whether to trust a document, Fraudfinder does the checking behind that call. See how it works in your sector.

ROI calculator

What document fraud is really costing you

Set your monthly volume, then adjust the assumptions to match your business.

6060,000
Your review costs
Your current error costs
28xestimated return on
Fraudfinder spend
Estimated net saving
£0
a year, or £0 a month

Review time recovered£0

Fraud and wrongful declines avoided£0

Less Fraudfinder cost£0

Net saving a year£0

Book a demo

Illustrative, based on the assumptions above, which you can change. Review time is recovered for higher-value work, not cut. Not a quote or guarantee.

Get started

See it catch real fraud

We'll run real fraudulent documents through Fraudfinder and show you exactly what it flags.

Book your demo

We'll show you Fraudfinder catching real fraud, live.

Business email required. We'll never share your details.

Cyber Essentials certified. The UK government-backed cyber security standard.

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FAQs

The questions fraud teams ask us

How fast is a check?

About 3.4 seconds per document on average. Drag one in and you'll have a verdict before you've finished reading this answer.

Which documents can you check?

Any of them. Bank statements, payslips, invoices, utility bills, tax forms, company documents, IDs and more, from any country and in any language. If it's a PDF or an image, we can check it.

Do you catch AI-generated documents?

Yes. Files made or edited in tools like ChatGPT leave traces, right down to the watermark, and we flag them.

Do I get a risk score?

No. Scores leave you guessing what 68% means. You get a clear verdict, high risk, consider or acceptable, with every reason behind it.

Do we need to integrate before we can start?

No. Most teams start in the drag-and-drop portal and are live in under an hour, then move to the API once they've seen the results on their own files.

How is it priced?

Per document, not per page, with no platform fee and unlimited users. A 40-page statement costs the same as a 4-page one. Boost adds Confirmation of Payee, address verification, translation and bank balance reconciliation on top.

Is our customers' data safe?

Yes. We're ICO registered, Cyber Essentials certified, GDPR compliant and independently penetration tested, with UK and EU data residency. Our trust centre has the detail.

Document fraud detection and data extraction for lenders, brokers and financial institutions.

Cyber Essentials certified.

ICO REGISTEREDInformation Commissioner’s Office
CYBER ESSENTIALSCertified
GDPRCompliant

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