Snappt

Snappt is document-fraud detection: feed it a pay stub or bank statement and it inspects thousands of metadata elements alongside the visual document, cross-checks against a threat list, and routes questionable ones to a human fraud analyst, returning a ruling in about ten minutes. Its home turf is tenant screening, its customers are large property managers (Greystar, AvalonBay, Lincoln), and it plugs into property systems like Yardi, Entrata, and RealPage rather than HR stacks.

Here's the caveat that decides whether it fits, and it's the whole reason to understand it. Snappt is excellent at catching an altered document: a real stub someone edited in a PDF tool leaves forensic traces, and Snappt finds them. What metadata forensics cannot catch is a document fabricated cleanly from scratch, a pay stub generated for an employer that doesn't exist, internally consistent, with no tampering to detect. That one passes document checks. The only thing that catches it is verifying against the actual payroll source, which is what Truework and The Work Number do. So Snappt is a document layer, not a source-of-truth layer; pair it with source verification, don't substitute it for one.

For this audience, fit is the sticking point. It's an enterprise contract, quote-priced, and built for property-management volume, not a self-serve tool a small employer runs for the occasional new hire. Its closest direct competitor is Docuverus, which does the same document-forensics job for the same tenant-screening market. For a payroll-fraud reader, Snappt is worth understanding as the category's document-forensics option, and its limitation, more than as something most SMBs will actually buy.