Fake receipts have become a volume problem
Receipts, invoices and certificates can now be fabricated or edited with AI in under a minute — with correct layout, logo and VAT arithmetic. VeriFly Document Verification analyses documents forensically, so AI-fabricated and manipulated files are caught before they support a payout or a decision.
From Word tampering to generative AI
Document fraud used to be craftwork: an edited amount in a PDF, a home-made receipt in Word — often detectable through layout errors and metadata. Generative AI changed the game: image models can now fabricate a photographed-looking document from scratch, with realistic paper texture, shadow and camera perspective, or change a single field in a genuine document without visible traces.
Volume makes this worse than image manipulation: a case typically contains one or two photos but many documents, and in practice each document is rarely checked. Automatic screening is the only scalable answer.
How VeriFly analyses a document
Document-specific models
Detection models trained specifically on document material — genuine receipts, invoices and certificates versus AI-fabricated counterparts from modern generators — so the distinct image statistics of documents are assessed correctly.
Production-chain analysis
How was the file technically produced? Print, scan, photo, screenshot or direct digital export each leave their own signature in compression and structure. Mismatches between claimed and actual origin are flagged.
Metadata & content checks
Metadata, compression traces and file history are analysed together with the document's content, and the report collects all findings with a calibrated verdict that can be attached to the case as PDF.
Who uses document verification?
The solution is built for insurers' claims departments, but the same need exists wherever documents trigger money: accounting and AP functions, expense administration, public benefits and financial institutions. Delivered via the web platform for manual review and via API for automatic screening. The image side of the platform is described under AI Image Detector.
Guides: how to check images and documents
Frequently asked questions
Which document types can be analysed?
Receipts, invoices, credit notes, order confirmations, bank statements, certificates, medical records and similar — as image files or PDF. The analysis handles photographed documents, screenshots and digitally produced files alike.
Can you really make a convincing fake receipt with AI?
Yes, in under a minute. Modern image models can fabricate receipts with correct layout, logo, VAT arithmetic and realistic paper texture — or change a single amount in a genuine document. Visual inspection and common sense are no longer sufficient as the only safeguard.
How does document analysis differ from image analysis?
Documents have their own statistics: sharp edges, flat colour regions, text layout and typical production chains (print, scan, photo, PDF export). VeriFly uses models trained specifically on document material and combines them with production-chain analysis — how the file was technically created — plus metadata and compression traces.
Can the analysis run automatically on every incoming document?
Yes. Via API, every document can be screened automatically on receipt, so only deviating files are flagged for manual review. Response time is seconds per document, and the result is delivered as a score plus a forensic report that can be attached to the case.
Evaluate VeriFly on your own cases
We set up a closed evaluation on your own material — real claim images and documents, processed exclusively in the EU. You get a concrete report, not a sales deck.