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27 signals. Two layers. Every finding explained.

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Plans from $99/month. True revenue, positions, and 27 fraud signals included.

Fraud detection

Catch the edited statement before you fund it

27 signals across two layers on every file: forensics on the PDF itself, then ClearStaqAI's visual check against real bank templates. Every finding is explained in plain English.

Book a demoSee pricing
Statement · Fraud
Metadata fraud risk score16 · Low
SeverityFactorWeight
SuspiciousDifferent fonts in same column6
SuspiciousDifferent font sizes in same column6
SuspiciousInconsistent text operators4
27

fraud signals checked on every statement, across two layers.

0–100

fraud score per document, banded Low, Medium or High.

~10s

extra per file when ClearStaqAI's visual check is switched on.

How it works

Two layers, every file

PDF producerEditing tool
Modified after creation8 days later
Fonts per columnMixed
Balances roll forwardYes
1

Forensics on the file

Before reading a transaction, ClearStaq inspects the PDF: who produced it, when it was modified, and whether fonts and figures hold together.

Logo and headerMatch
Column layoutMatch
Amount glyphsEdited
Running balanceMatch
2

ClearStaqAI visual check

The page is rendered and compared with authentic templates for that bank, catching pixel-level edits that leave no trace in the file.

Statements checked4
Findings3 suspicious
Fraud score72 · High
3

One score, every reason

Each finding carries a severity and a sentence that says why. Findings roll up across every statement the merchant sent.

What the checks catch

FindingSuspicious
PDF producerilovepdf
Bank engine expectedYes

Edited PDFs

A producer string from an editing tool means someone touched the file after the bank made it.

FindingMedium
CreatedJul 15, 09:12
ModifiedJul 23, 18:40

Late changes

Banks generate statements once. A file modified days after it was created is a red flag, with both timestamps shown.

FindingSuspicious
Columns with mixed fonts57
ThresholdOver 5% of characters

Pasted-in rows

Fonts and sizes that change inside one column often mean a number was typed over the original.

Across the whole application

A clean January can't hide a doctored March

Findings from every statement a merchant sends roll up into one risk profile, next to true revenue, NSFs and negative days.

Risk profile · Harbor Freight #2
Jan statementLow
Feb statementLow
Mar statementHigh
ApplicationReview

What to do with a flag

A flag is a reason to look, not an automatic decline

  1. Read the findings. An editing-tool producer plus a late modification is far stronger than either alone.
  2. Ask the merchant for the statement straight from their online banking.
  3. Compare the two versions. A different amount or a missing transaction is your answer.
  4. Add a note to the business so the team sees it on every future deal.

FAQ

Fraud detection questions

Is fraud detection on every plan?

Yes. The forensic layer runs on every statement on every plan.

What does ClearStaqAI add?

A visual comparison against authentic bank templates, which catches edits that leave no trace in the PDF's structure. Switch it on per upload; it adds about 10 seconds per file.

What about scanned statements?

Scans are flagged as scans, because the file itself says less. The visual check matters more there.

Does a high score mean the statement is fake?

It means it needs a human look. Every finding says what was found so your team can decide.

RelatedMCA stacking detection →Underwriting report →For MCA funders →
Plans from $99/month

Take back your time and automate loan underwriting

Join the lending teams using ClearStaq to parse statements, catch fraud, and verify income, all in under 5 seconds.

True revenue, positions, and 27 fraud signals included.

ClearStaq

AI-powered bank statement parsing, fraud detection, and income verification for lending teams.

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