Veridexa analyzes documents for fraud signals using multiple evidence sources and returns explainable ACCEPT, MANUAL REVIEW, or REJECT results. It helps teams inspect suspicious documents through a public demo and developer API integration.

Hi Product Hunt 👋 I built Veridexa to address a growing problem: forged and manipulated documents are becoming easier to create, while reliable document fraud detection remains difficult to access. Veridexa analyzes documents using multiple signals and returns one of three outcomes: ACCEPT, MANUAL REVIEW, or REJECT. The goal is to help teams identify suspicious documents faster while keeping human review in the loop when evidence is inconclusive. We’re launching with a public sample demo, documented limitations, and a public repository containing our benchmark methodology and API integration examples. I’d really value your feedback on the product, the demo experience, and the types of document fraud detection use cases you’d like us to support next. 🚀

tried the demo with a sketchy utility bill and it flagged the mismatched fonts right away, which honestly impressed me. the explanation for why it needed manual review was actually useful instead of just a black box.

Veridexa

Detect document fraud with explainable AI

Detect document fraud with explainable AI