Drop a document, tell us what it's supposed to be, and get a ranked list of risk indicators with the evidence behind each one — deterministic forensic checks, not an AI guess, entirely on your device. Nothing is uploaded.
A PDF or a photo of a pay stub, bank statement, invoice, receipt, or utility bill. It never leaves your tab.
Pay stub, bank statement, invoice, or other — this picks the right math checks and sets expectations for who should have produced it.
Structure, software fingerprints, fonts, hidden text, math, dates, and image signals are checked in seconds — no model download, nothing sent anywhere.
A risk score and band, every finding explained in plain language with clickable evidence, the checks that passed, and a printable report.
Many edited PDFs still carry their own earlier versions inside the file. When one is found, it's rebuilt and compared side by side with the current version, so you see exactly what changed — not just that something did.
Every PDF names the software that produced it. That name is checked against known payroll/statement systems, ordinary photo and PDF editors, and known paystub-generator services — and the edit history is checked for editing software appearing after the document was supposedly finalized.
Numbers set in a font that appears nowhere else on the page, text pasted onto a scanned image, and text hidden underneath a covering box are all detected — and any hidden text is recovered and shown to you.
Gross minus deductions should equal net, to the cent. Tax withholding should sit in an expected range. Year-to-date totals should track the pay period. Routing numbers, IBANs, and card numbers are checked against their own official checksums, not just their shape.
Creation and last-modified dates are compared to each other and to the dates the document itself claims — and to transaction dates inside the content, so an out-of-order or impossible date doesn't slip through.
Photos are checked for editing-software fingerprints and re-compression signs. Images also get checked for a signed "Made with AI" label — Content Credentials — and for generation details some AI tools leave behind, sometimes including the exact prompt used to create the image.
The score is a plain weighted sum, not a learned model — every constant below is the exact one the tool uses, and every finding shows its exact point contribution. We publish it because a screening tool that shows its work is one you can actually trust.
Category caps exist so a handful of weak signals in one area can never add up to look like strong evidence.
A low score does not authenticate a document. A document made from scratch with a paystub-generator site can be structurally clean and still not be genuine.
A high score is not proof of fraud. Always verify with the document's issuer before acting on it.