Detect vision model hallucinations before they corrupt accounting records.
Modern vision AI models don't just misread receipts—they confidently fabricate them from scratch. A model might invent a store name, items, and prices that look completely plausible but never appeared on the paper. Expense management platforms, accountants, and invoice automation tools trust these outputs directly, leading to corrupted accounting records, false reimbursements, and audit failures that are nearly impossible to catch until it's too late.
ReceiptGuard is a validation API that detects vision model hallucinations in real-time. It cross-checks extracted receipt data (store, items, total) against multiple vision models simultaneously, runs reconciliation heuristics (do line items sum to the stated total? Is the store name plausible?), and returns a confidence score with risk flags—all before the data hits your accounting system. Drop it in between your receipt scanner and your expense platform in minutes.
Finance ops leads and accounting software vendors at mid-market companies (50–500 employees) using Ramp, Divvy, Expensify, or building internal expense automation. Also: accounting practices and invoice processing vendors handling 100+ receipts daily.
Drop your email and we'll let you know when it's ready.
$0.02–0.05 per receipt validated (typical mid-market pays $30–80/month), or $199/month per-seat team licensing for internal audit and compliance teams.