Added or exaggerated damage
A scratch, crack or water stain is added or enlarged by retouching a genuine photo.
Document fraud detection
Detect a doctored claim photo
Water damage, broken glass, car bodywork: a photo is often the first evidence of a claim. With editing and artificial intelligence tools, creating or exaggerating damage in a picture has never been easier. Docusan analyzes every photo submitted and flags manipulations.
Typical frauds
The most common forgeries
AI-generated image
A damage photo is entirely created with an image generation tool, without any real incident.
Repurposed photo
An image from another context is presented as evidence of the declared claim.
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
Does Docusan detect AI-generated photos?
Yes. Docusan identifies images generated by artificial intelligence. Like any detector, it provides a risk level to interpret, not absolute certainty.
Can a photo sent through a messaging app be analyzed?
Yes. For the most complete analysis, ask for the original photo rather than a copy forwarded through a messaging app.
How do claims handlers see the anomalies?
The viewer highlights the suspicious areas on the photo and shows the verdict, so the handler can quickly decide whether an expert assessment is needed.
Free trial
Test Docusan on your own documents
Upload a PDF, scan or photo and get a verdict within seconds.