Altered totals and generated templates are simple to produce and hard to eyeball.
A single unverified document can move a payout that a business later has to defend.
Edited fields and mismatched templates rarely announce themselves at a glance.
A receipt, claim, or ID comes in through the app, the API, or a simple upload.
Layers of checks run underneath — no single signal decides the outcome alone.
A clear, explainable verdict — with the reasoning behind it, not just a number.
Flags documents and images produced by generative tools — not just ones that were edited, but ones that were never real to begin with.
Cross-checks a document against what's publicly indexed online to catch templates and images lifted from the web.
Reads embedded location metadata to check where a document was actually captured against where it claims to be from.
A proprietary scoring model built for this exact problem — the Litmus Engine — not a generic OCR pipeline with fraud rules bolted on.