Guides to AI fraud and forensic analysis
Practical guides to assessing images and documents: what you can check yourself, and what only the file can tell you. Written by the people building the detection.
How to check if an invoice is genuine
An invoice can be produced in under a minute with an AI tool or a free template. Here are the signs you can check yourself, and the traces that only show up inside the file.
Fake receipts: how to spot them
There are websites where you type a shop, an amount and a date and get a receipt that looks real. Here is how to tell the difference, by eye and inside the file.
Is the medical certificate or record genuine?
Medical certificates, patient-record printouts and attestations are used as evidence in insurance claims, sick leave and disputes. They are easy to edit in a PDF editor. But editing leaves traces.
PDF forensics: what a file reveals about itself
A PDF is not just a picture of a document. It is a small database with history, timestamps and fingerprints from every program that touched it. Here is what can be read from it, and what it means.
AI-generated documents: what to look for in 2026
Image models such as GPT-image and Nano Banana now produce invoices, receipts and certificates as images that look photographed. Here is what characterises them, and how they are caught.
Document fraud in insurance claims
Claim photos were the first wave. Now it is the documents: receipts for items never bought, medical certificates with moved dates and invoices for repairs that never happened. Here is what it looks like from the investigator's chair.
Metadata analysis of images and documents
Every file carries information about its own creation. Camera, time, place, program, changes. Metadata analysis is the craft of reading them and noticing when they do not agree.
Glossary: image and document forensics
The terms that recur in reports, articles and conversations about AI fraud and forensic analysis, explained briefly and plainly.
AI-edited images: when only one region was changed
The most important image fraud today is not fully generated pictures. It is real photos where one region was altered with AI: damage enlarged, a dent removed, an object added. It is called inpainting, and it is far harder to detect.
AI image detector: how to check if an image is AI-generated
AI images can no longer be spotted reliably by eye. Here is the order professionals use: what you can check yourself, what the file tells you, and what an AI image detector actually does.
Signs of AI-generated images in 2026
Two years ago you looked at the hands. That no longer works. Here are the signs that still give AI images away, and an honest explanation of why the eye is losing the race.
AI-edited images: when only one region was changed
Most image fraud today is not fully generated pictures. It is real photos where one region was altered with AI: damage enlarged, an object removed, a detail added. It is called inpainting, it is harder to detect — and it leaves traces.
Deepfakes: what they are and how they are detected
Faces swapped. Voices cloned from seconds of audio. Video of people who never said what they are saying. What deepfakes are used for in fraud, and how they are detected.
EXIF data: how to read an image's metadata
Every photo stores information about its own creation inside the file: camera, time, settings and often position. How to view it yourself, and how it is used when an image's authenticity is assessed.
AI-enhanced photos: when real images look like AI
Denoising, upscaling and neural filters put AI inside perfectly genuine photos — often without the photographer thinking about it. That is why detectors flag press photos and portraits, and why separating enhancement from fabrication has become a craft of its own.
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