Fake bank statement detector

Our AI analyzes the document visually and structurally — checking font consistency, number formatting, balance arithmetic, transaction patterns, and layout against what real bank statements look like. It returns an authenticity score from 0 to 100.

Yes — this page works as a web app on any phone or desktop, no download required. Upload a PDF or photo from your device, get an authenticity score in under 30 seconds. There’s no native iOS or Android app to install; the browser version handles every format.

Yes. This page provides a free online fake bank statement detector for a first-pass screen. Anonymous users get one statement check on the shared free upload allowance; paid plans use their billing-cycle page allowance. No signup, no credit card.

Check five things: (1) every closing balance must equal opening balance + credits − debits to the cent; (2) fonts and spacing should be consistent across pages — modified PDFs often show font swaps near edited rows; (3) the bank logo should match the current official version, not an outdated one; (4) PDF metadata should show a banking software producer, not Word or Photoshop; (5) transaction descriptions should be in the bank’s typical format. AI screening checks all five in seconds.

The standard workflow: ask the applicant for a PDF directly downloaded from their banking app (not a screenshot), run it through an AI fake-statement detector for a first-pass screen, then for high-stakes tenancies request a referencing service or ask the tenant to log into their banking app in front of you. Forged statements are the single most common document fraud in rental applications.

In practice they are the same fraud. A fake or fabricated statement is built from a template; a forged statement starts from a real PDF and has rows, amounts or balances edited; a false statement is any of these presented as genuine. The detector screens for all three the same way — balance arithmetic, font and spacing consistency, PDF metadata, logo version and transaction patterns — because every method leaves the same kinds of traces.

No tool can guarantee 100% accuracy. Sophisticated forgeries may score higher; unusual legitimate statements may score lower. Use this as a screening tool. For high-stakes decisions, request statements directly from the bank.

Landlords screening rental applications, lenders reviewing loan documents, employers verifying income, and property managers processing move-in applications.

Most banks will not confirm a statement’s authenticity to a third party due to privacy law. The two reliable options are: (1) ask the account holder to log into their online banking in front of you to show the same transactions live, or (2) use a regulated open-banking service that reads the data directly from the bank API with the customer’s consent. AI screening is the fast first step before either.

Yes — it is the same check. A bank statement checker looks for the signals that separate a file the bank produced from one that was edited afterwards: balance arithmetic, font and spacing consistency, layout against standard bank templates, and PDF metadata. You get the score plus the specific items that triggered it, so you can judge the result yourself rather than trusting a pass/fail.

Forgeries fall into two groups. Edited real statements keep the bank’s layout but break internal consistency — the running balance stops matching, a font shifts on the tampered row, or the PDF producer field shows an editing tool. Fully fabricated statements usually look too clean: perfectly round recurring deposits, no fee lines, no pending items, and a template that does not match the bank’s current format. The AI screen checks both patterns at once.

It is the screening step between receiving a statement and relying on it — running each submitted file through an automated authenticity check before it feeds an income, affordability, or tenancy decision. Done properly it is applied to every application uniformly, uses a fixed score threshold agreed in advance, and records the specific flags raised rather than just the outcome.

Yes, for one document type. General document fraud detection software screens passports, payslips, invoices, and IDs; this tool does the same job for bank statements only, which is why it can check things a generic scanner cannot — running-balance arithmetic, deposit patterns, and bank-template layout. It runs online in the browser with no integration, so there is nothing to install or connect.

Four checks, run on every upload. PDF metadata and creation date: a statement produced by a bank names a banking PDF engine, not Word, Canva, or Photoshop, and it is not created months after the period it covers. Font and layer edits: an inserted or altered row usually shifts the font, weight, or column alignment against the rest of the page. Balance arithmetic: opening balance plus credits minus debits has to equal the closing balance to the cent on every page, and edited rows break it. Transaction patterns: repeated round-number deposits and identical entries that no real payroll produces. False bank statements normally fail more than one of the four at once, and you see which ones rather than a pass or fail verdict.

Yes. Your PDF is deleted right after analysis — we don’t keep it, and never share it. Only the structured analysis data is saved to display your results.

PDF, JPG, and PNG. If you have a printed statement, take a clear photo or scan it first. Maximum file size is 10MB.

Yes — the AI analyzes universal indicators of document authenticity, not bank-specific templates. Works with any bank worldwide.