Scam image detection
Check suspicious images, receipts, and product photos for fraud clues.
Generate a report for scam-focused image checks, with clear signals and a Truth Score.
Last reviewed 2026-05-10 · See methodology
About this check
What Scam Image Detection Tool actually does.
Fraud-focused image triage for marketplace, crypto, and DM-scam scenarios. The engine combines image-authenticity signals with fraud-context scoring on any text you paste alongside the image.
How it works
- 1Layout anomaly detection catches fabricated UI overlays on screenshots.
- 2Synthetic photo markers flag AI-generated product or person images.
- 3Fraud context scoring weighs pasted captions or DM text for scam patterns.
When to use it
Real situations this page is built for.
- A Telegram trader sent a 'profit screenshot' before pitching a deal.
- A marketplace seller's product photos look reused or AI-rendered.
- An NFT or token project's promo image makes claims you cannot verify.
Limitations
Scam detection is contextual — the same image can be benign or fraudulent depending on use. The score is a starting point.
Related checks
Detection guides
Related reading from the checkreal.ai blog.
Practical guides that go deeper into the signals this detector looks for.
Honest scope
What this detector does not do.
Naming the gaps explicitly so the score is interpreted in context.
- Whether the photo depicts a real event — only the image artifacts.
- Which AI model generated the image, if synthetic.
- Whether the photo is of a specific real person (use face recognition for that).
FAQ
Scam Image Detection Tool questions
Will it warn me about specific scams?
It surfaces patterns common in known scam types but does not maintain a database of named scams.
How is this different from Fake Receipt Detection?
Fake Receipt Detection is narrower and tuned only for receipts and payment proofs.
Can I submit just the chat text?
Yes — paste the text and the engine will weight fraud-language signals even without an image.