●E-commerce · Trust & safety
Catch AI-generated refund photos before you pay out.
Screen damage, missing-item and not-as-described evidence for AI generation and reuse, before the refund is issued.
●Platform
Detect it. Explain it. Act on it.
Every scan returns the same three things: a result, the signals that produced it, and a decision you can route on.
01
Detect
Every file is scanned by independent models for images, video and faces, in the web tool, the extension or by API.
3 / 4 signals corroborateCalibrated likelihood
02
Explain
See which signals fired and how strongly. No single model decides; every result comes with its reasons.
Rule: likelihood ≥ 0.85 → Hold<3s
03
Route
Branch your workflow on the result. Clean items pass, flags go to review with a full audit trail.
●The problem
Refund fraud has gone generative.
Image generators make convincing damage photos trivial, and one fake image can be submitted across dozens of accounts before anyone notices.
●What we catch
What fake claims look like.
Flagged at the point of submission, before it reaches a reviewer.
01
“Damaged item” photos
Generated cracked screens, dented packaging and broken products that never existed.
02
“Missing delivery” evidence
Generated empty porches, opened boxes and tampered packaging.
03
“Not as described” comparisons
Fabricated side-by-sides showing a product unlike the listing.
04
Recycled photos
The same image across accounts, cropped, resized or filtered, caught by perceptual hashing.
The pipeline
A detector for each kind of media.
Image, video and voice each have their own detector. Their findings come back as one clear answer you can act on.
Image
Diffusion, GAN and face-swap images from Midjourney, DALL·E, Stable Diffusion, Flux and Firefly.
LiveVideo
Face swaps across 32 frames and fully generated video from Runway, Kling, Veo and Pika.
LiveVoice
Cloned and synthesised speech in calls, notes and recordings.
LiveWhat you get
Each file is marked Refund, Hold or Review, with the likelihood, signals and audit ID behind it.
One answer●Platforms
Built for high-volume marketplaces.
Missing-item and damaged-order claims screened at submission.
Seller and buyer evidence in disputes and chargebacks.
Returns and replacement requests across web and app.
●How it works
From submission to decision.
Manual review
Trust & safety teams upload claim photos in the web app. Available now.
API at submission
Screen every photo automatically in your returns flow. Coming soon.
Duplicate detection
Perceptual hashing flags reuse across accounts, even after edits.
Route
Clean claims pass. Flags go to review with the full audit trail.
●Integration
Three ways in.
Start with the web app.
Scan in the web app or Chrome extension today. The REST API and MCP server for your AI agents are coming soon. Same detectors, same result, same audit trail.
Web app
AvailableUpload in the web app. Images, video and voice, up to 50 MB. Full results in seconds.
Chrome extension
AvailableScan any image or video from inside the tools your team already uses. No download, no upload.
API
SoonSingle scans, batch jobs and webhooks. Structured JSON with result, likelihood, signals and audit ID.
curl -X POST https://witness.vision/api/v1/detect \ -H "Authorization: Bearer $WITNESS_KEY" \ -H "Content-Type: application/json" \ -d '{"media_url": "https://…/refund_req_771204_item.jpg"}' → 200 OK · 412ms result: ai_generated · 0.91
●Why Witness
Built to be checked.
We say what the system does, what it returns and where its limits are.
Detection built per signal
Specialized models per signal, so you get more coverage and fewer false positives than one classifier.
Reasons, not just a score
Every result shows the signals behind it and where in the file they fired.
Analysed, then gone
Media is never stored, shared or used for training.
Provenance, when it exists
Reads Content Credentials from capture device to current file.
●Pricing
Priced around your volume.
No minimums and no long-term contracts. Tell us your volume and we will quote within one business day.
Free
$0
- 20 image scans a month
- 2 min video/voice total
- Full heatmaps
- Generator attribution
- EXIF/C2PA/SynthID
- Web and Chrome extension
●Pro
$15 / month
- 1,000 image scans a month
- 15 min video + 10 min voice
- Everything in Free
- Faces and face-swap specialist
- Scan by URL: paste any link
- Email support
Enterprise
Custom
- Volume pricing
- Everything in Pro
- SSO and audit logs
- Dedicated support
- Custom SLA
- On-premise option
●Explore
One engine. Every surface.
The same detection, result and audit trail across every team that handles media.
Detection
AI image detector
Find out if an image was made by AI.
Explore →Detection
Face swap detection
Find out if the face in a photo or video has been replaced, reenacted or lip-synced.
Explore →Detection
C2PA checker
Read the Content Credentials inside an image or video: who signed it, what captured it, and every edit since.
Explore →Detection
AI video detector
Find out if a video was generated by AI or contains a face swap.
Explore →Product
Chrome extension
Scan media on any site, social feeds, news, claims portals, case files, and get a result in the side panel..
Explore →How does AI detect fake refund photos?
An ensemble of models checks generative fingerprints, frequency artefacts and metadata, combined into one likelihood and result.
Can the same photo be caught across accounts?
Yes. Perceptual hashing compares submissions against previously seen claim photos, even after cropping, resizing or minor edits.
How do I integrate it?
Use the web app for manual review today. API integration at claims submission is coming soon, contact us.