Most scam detection tools only analyze text. But in today's mobile-first world, people increasingly share and forward screenshots of suspicious messages. That's why screenshot scanning — powered by OCR and AI — is becoming essential for comprehensive scam protection.
The Problem: Scams Live in Screenshots
Think about how you encounter suspicious content. A friend forwards you a WhatsApp screenshot asking "Is this real?" You see a social media post showing a "too-good-to-be-true" offer. Someone shares a screenshot of a suspicious email.
In all these cases, the scam content is trapped inside an image. Traditional text-based scam detectors can't help because there's no text to paste — only pixels.
How OCR Changes the Game
OCR (Optical Character Recognition) technology bridges this gap by extracting text from images. Here's how ScamSense uses it:
1. Image Upload
You upload a screenshot directly from your gallery or camera roll. ScamSense accepts any image format.
2. Text Extraction
OCR technology reads every text element in the image — message bubbles, headers, buttons, URLs, and fine print.
3. AI Analysis
The extracted text is fed into ScamSense's AI engine, which identifies scam patterns, suspicious URLs, and manipulation tactics.
4. Instant Verdict
You get the same detailed risk assessment as a text scan — risk level, explanation, and actionable guidance.
Why This Matters
Forward & Check
When friends or family share suspicious messages as screenshots, you can verify them instantly instead of trying to type out the message manually.
Catch What Text Misses
Scammers sometimes use images to bypass text-based filters. Screenshot scanning catches scams hidden in images, infographics, and chat bubbles.
Multi-Language Support
OCR can extract text in multiple languages, making ScamSense useful for detecting scams regardless of what language they're written in.
Preserve Evidence
Screenshots are often the only evidence of a scam. By analyzing screenshots directly, ScamSense lets you verify without altering the original evidence.
Real-World Use Cases
Here are situations where screenshot scanning proves invaluable:
- A friend sends you a WhatsApp screenshot of a message claiming to be from their bank, asking you if it looks real.
- You see a social media ad with a suspicious offer and want to verify it before clicking.
- You receive a message on a dating app that seems too perfect and want to check if it follows common scam patterns.
- Someone shares a screenshot of an email claiming they owe unpaid taxes or face legal action.
- You spot a job listing screenshot with unrealistic pay and want to verify before applying.
The Future of Scam Detection is Visual
As messaging moves increasingly to visual and image-based formats, scam detection tools must evolve too. Screenshot scanning isn't just a nice feature — it's becoming a necessity. ScamSense is at the forefront of this shift, making it easy for anyone to check any kind of suspicious content, whether it's text, a link, or an image.
Try screenshot scanning today.
Upload any suspicious screenshot and get an instant AI-powered verdict.
Download on Google Play