Edited amount or quantities
The total, unit price or quantities are increased on a genuine invoice to obtain a higher refund.
Document fraud detection
Detect a fake invoice
Invoices are everywhere: insurance refunds, expense reports, supplier payments. An inflated or invented invoice directly turns into a financial loss. Docusan checks every invoice you receive and highlights the signs of forgery.
Typical frauds
The most common forgeries
Fake supplier invoice
An invoice imitating a real supplier, with altered bank details, is sent to divert a payment.
Fabricated or reused invoice
An invoice is created from a template, or an old invoice is reused after changing its date and number.
Our detection approach
What Docusan analyzes
Four levels of analysis to spot forgeries, whether the document is a PDF, a scan or a photo.
01
Metadata
- Missing metadata
- Inconsistencies in the file properties
02
Pixel-level anomalies
- AI-generated images, deepfakes
- Inserted content (splicing, inpainting, copy-move…)
03
Structural anomalies
- Edits and annotations
- Recovery of previous versions
04
Customizable detectors
- Consistency with document templates
- Data cross-checking
- Watchlists
Relevant industries
FAQ
Your questions
Can Docusan process a large volume of invoices?
Yes. With the Business plan, the API sends invoices automatically from your system and analyzes thousands of them simultaneously on a dedicated environment.
Is an invoice received as a photo analyzed the same way?
The checks adapt to the format. For a photo, Docusan analyzes pixels, copy-pastes and image metadata, and checks that it was not generated by AI.
Does Docusan automatically block the payment?
No. Docusan provides a verdict and locates the anomalies; through the API, this risk level can reach your software to trigger your own control rules.
Free trial
Test Docusan on your own documents
Upload a PDF, scan or photo and get a verdict within seconds.