AI-generated fake receipts: a detection guide for finance teams
How to identify and counter this new threat affecting more and more companies.
The rise of AI-generated fake receipts
In 2025, generative AI tools (ChatGPT, Midjourney, DALL-E, Flux) can produce receipts visually indistinguishable from real ones in seconds. An internal study shows that 78% of financial controllers cannot tell AI-generated fake receipts from authentic ones. The estimated cost of expense report fraud ranges from 1% to 5% of a company's T&E budget — translating to millions in undetected losses every year.
Anatomy of an AI fake receipt
AI-generated fake receipts exhibit subtle but detectable anomalies: VAT calculation inconsistencies (incorrect rounding, wrong country rates), missing or inconsistent EXIF metadata (creation date vs. receipt date), mixed or non-standard fonts for the merchant brand, fabricated SIRET/VAT numbers matching no real business, and visual artifacts in logos (distorted letters, unnaturally perfect symmetry). These clues, invisible to the human eye, are detectable by specialized algorithms.
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