---
title: AI-generated claim photo detection for insurers | Trustable
url: https://trustable.ai/insurance
description: Trustable flags AI-generated and edited damage photos, repair invoices and receipts in insurance claims, with evidence adjusters and SIU can act on.
---

Insurance

# Detect AI-generated and edited claim photos

Flag edited and AI-generated damage photos, invoices and receipts before payout.

[Book a demo](https://cal.com/scamai/20min?utm_source=trustable.ai&utm_medium=website&utm_campaign=book_demo&utm_content=insurance)

Photo · Invoice · Receipt

What we check

## The photos and documents in the claim. Checked before payout.

01

### Damage photos

AI-generated or edited damage.

02

### Repair invoices

Edited amounts and line items.

03

### Receipts

Changed dates, amounts and screenshots.

04

### Claim documents

Edited estimates, reports and letters.

05

### Video

Deepfakes in recorded claims and video calls.

06

### Metadata

Camera data and file history.

Invoices

## Fake repair invoice detection

Invoices and receipts are checked for edits, font mismatches and totals that don’t add up.

## Evidence your adjusters can act on.

Your adjuster or SIU decides.

01

### Add the claim

Photos, invoices and documents.

02

### Check every file

Edits, AI generation and metadata.

03

### Review the evidence

Each finding, where it is, how strong.

FAQ

## Claims fraud, answered.

### Can insurers detect AI-generated claim photos?

Yes. Trustable checks each claim photo for traces that image generators leave, local edits such as added or enlarged damage, and gaps in the camera data and file history. Each finding is marked on the photo with its strength, so an adjuster or special investigations unit (SIU) can see why a photo was flagged before the claim is paid.

### What is a shallowfake insurance claim?

A shallowfake is a real photo or document changed with an ordinary editing app rather than generated from scratch by AI. Common examples are damage painted onto a car photo, a date changed on a receipt, or an amount raised on a repair invoice. Because most of the file is genuine, shallowfakes can pass a quick look; pixel-level and document checks are designed to flag them.

### Can it detect fake repair invoices?

Yes. Trustable checks repair invoices and receipts for edited text, font and layout mismatches, rebuilt templates and line items or totals that don’t add up. Each finding is marked so the adjuster can follow up with the repair shop. Comparing an invoice with the rest of the claim, such as its dates and the damage in the photos, is in development.

### How do claim files reach Trustable?

Through the API or the Trustable web app. Send damage photos, invoices or receipts and get back the findings, where they are and how strong each one is, for your adjuster or SIU. Routing results into your claims system is in development.

### Does missing metadata mean a photo is fake?

No. Messaging apps, screenshots and resizing often strip camera data from genuine photos, so missing metadata on its own proves nothing. Trustable treats it as one signal among several, weighs it with pixel-level and AI-generation checks, and shows how strong the signal is, so the adjuster isn’t pushed to deny a valid claim.

### Do Content Credentials prove a photo is genuine?

No. Content Credentials (the C2PA standard) show that a file’s recorded history is intact, such as which device or app created it. They don’t prove that the loss in the photo happened, and many claim photos carry no credentials at all. Trustable checks the photo itself either way; reading credentials is in development.

Insurance

## Check your next claim.

See it on a sample claim. We agree on data handling before you share anything.

[Book a demo](https://cal.com/scamai/20min?utm_source=trustable.ai&utm_medium=website&utm_campaign=book_demo&utm_content=insurance)

[See the sample report](https://trustable.ai/sample-report)