Fraud-risk screening for uploaded statements NEW

Fake Bank Statement Detector

Screen uploaded bank statements for suspicious signals, document-type mismatch, inconsistent totals, missing statement fields, visible IBAN issues, and other review evidence. Login is required for file upload.

Document-type mismatch detection Suspicious signal report Account identifier checks

Analyze statement

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Only upload bank statements. Free accounts get 1 validation per period; paid tiers unlock higher limits. This MVP is a review aid, not a final fraud decision.

Document intake

The file is saved server-side and processed as a statement-only review job.

Account identifier cross-check

IBANs and supported domestic routing identifiers are checked independently from the AI review.

Structured report

The agent returns parseable JSON for score, evidence, inconsistencies, and next steps.

Catch obvious fake-statement signals before manual review

The validator focuses on practical risk triage: does the upload look like a real bank statement, are core fields present, do visible numbers and dates make sense, and do supported account identifiers validate?

Statement validator SEO resources Use-case and country pages are available here without taking over the main workflow.

Can this prove a bank statement is real?

No automated tool can prove authenticity from an uploaded file alone. IBANgen returns a risk score and evidence to support review.

What suspicious signals are checked?

The report can flag document-type mismatch, missing bank-statement fields, weak transaction structure, inconsistent amounts, invalid identifiers where present, and other visible review signals. Absence of IBAN alone is not a risk for non-IBAN jurisdictions.

Does the detector support screenshots?

Screenshots can be reviewed, but original PDFs downloaded from a bank portal usually provide stronger evidence for review.

Statement risk report

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Upload a statement to generate the report.