ScamyCommon scams in India to watch for in 2026
A May 2026 guide to UPI collect requests, OTP fraud, fake job offers, courier messages, AI voice lures, and investment scams.
Read guideFree scam checker
Check if a message, link, image, or PDF is a scam
Paste suspicious text, add a URL, or upload evidence. Scamy highlights red flags before you click, pay, or share an OTP.
Text-only, URL-only, file-only, and mixed submissions are supported.
Add context above if the link came from a text message, email, or marketplace chat.
Optional: add a screenshot or PDF (PNG, JPG, WEBP, PDF)
Scamy sends text, URLs, and extracted file text to OpenAI for scam analysis. Uploaded files are sent to OCR.space only to extract text, then Scamy deletes the temporary upload immediately after the request finishes. No Scamy account is required. Privacy policy
Scan / Check
Review suspicious text, links, screenshots, and PDFs in one place so users can check the message and the evidence together.
Open scannerLearn
Turn detection into better judgment with checklists, tips, scam examples, and lightweight quizzes that teach repeatable habits.
Explore learn toolsCommunity
Give people a place to compare suspicious cases, report patterns, and ask others whether a link or message feels off.
Visit communityIncident Report
After a scan, let users generate a clean downloadable summary they can share with family, support teams, or internal reviewers.
See reporting flowCheck suspicious text, links, screenshots, and files in one workflow
Start with whatever you have: a suspicious message, a URL, a screenshot, an image, or a PDF. The scanner combines those signals into one structured review.
Scan nowHow it works in 3 steps
Privacy-focused by design
Scamy does not save uploads to its database. Temporary files are deleted immediately after analysis, and text is sent to third-party AI services only to produce the scam review.
Signal-based scam review
The analysis looks for pressure tactics, impersonation cues, suspicious payment instructions, and other common fraud indicators.
Built for common evidence formats
Users can submit common image types and PDFs, which are the formats most often used when sharing screenshots of suspicious messages.
What this website is for
Many scam victims do not need a long cybersecurity course first. They need a quick way to review a suspicious document and then clear advice on what to check next. This site is built around that exact moment.
In practice, that means helping visitors check whether a message, invoice, UPI payment request, OTP request, link, or attachment looks like a scam before they reply, pay, download anything, or share personal details.
Unexpected invoices and payment requests
Check screenshots or PDFs before paying when the sender, bank details, or urgency feel unusual.
Suspicious job offers and recruiter messages
Use Scamy as a fake job offer checker for India and global recruiter messages that ask for up-front fees, off-platform chats, or weak identity verification.
Marketplace, delivery, and refund messages
Review messages that pressure you to click links, confirm logins, or move the conversation elsewhere.
Manual review checklist
Even when a message looks convincing, a short manual review often catches what urgency hides, especially for OTP fraud, UPI collect requests, fake support chats, and urgent job-offer payments.
- Look for pressure tactics such as deadlines, threats, or emotional urgency.
- Check whether the sender asks for passwords, one-time codes, payment, or unusual file downloads.
- Compare names, email domains, phone numbers, and URLs with the official source.
- Treat AI analysis as a second opinion and verify important decisions with the real company or institution.
Incident reporting without extra admin
After a scan, users can download a summary that captures the suspicious link, pasted message, uploaded file name, and the AI verdict in one plain-language report.
That gives the website a practical reporting step right after detection, which is often what people need when they are escalating a case to a colleague, friend, or support team.
What the report flow now covers
- Preserves the core case details the user actually submitted.
- Includes the structured AI response in a format that is easy to forward.
- Keeps the implementation light while leaving room for a future shareable report page.
Who should use it
Individuals, families, small teams, and community groups that regularly encounter suspicious emails, invoices, or online marketplace conversations.
How to use the result safely
Use the analysis as a screening tool, then verify banking changes, account notices, and support requests through an official phone number or website.
Important limitation
Sophisticated scams can still appear legitimate. High-stakes decisions should never rely on a single automated result.
Scam safety articles
Learn the scam patterns people search for
Short guides for India, Singapore, and global users who want to understand suspicious messages before they click, approve a payment, or share a one-time password.
How to detect phishing messages before you click
Learn the pressure tactics, link tricks, sender clues, and payment language that make a message worth checking.
Read guideUPI scam checker: what to review before approving a payment
Use this checklist before approving UPI collect requests, refunds, QR codes, account updates, or payment reversals.
Read guideBrowser Extension
Bring suspicious websites into Scamy without copy-pasting
We now have a browser extension MVP that captures the current tab URL, selected text, and page context, then opens Scamy with everything pre-filled for analysis.
Reliability
Trusted by real users
Social proof matters for security products. These App Store reviews help show that people trust the product experience, find it easy to use, and rely on it when speed and clarity matter.
★★★★★
“Scamy is too good app. Highly recommended”
Fifti55
Jan 27, 2026
★★★★★
“What impressed me most is how it explains why something could be a scam instead of just labeling it as dangerous. When I upload a message or image, the app highlights suspicious elements and clearly explains the red flags in simple language. This makes it very easy to understand, even if you're not tech-savvy.”
johnn.,
Jan 24, 2026
★★★★★
“I love that it explains why something is suspicious, rather than just giving a yes/no answer. It scans messages, images, or links very quickly and highlights all the red flags clearly. This has helped me learn so much about common online scams and how to avoid them. The app is very user-friendly and works fast, which is great when you want instant results.”
Dima Al-Malki
Jan 23, 2026
Frequently asked questions
What makes this site useful beyond a simple upload tool?
Scamy combines file analysis with educational guidance so visitors can understand why a message looks risky, not just receive a label. The goal is to help people make safer decisions in real situations.
What kinds of content can be reviewed?
Scamy can review pasted message text, suspicious URLs, screenshots, image files, and PDFs. It works best when the submission includes the message, link, or document text that made you pause.
Can the result replace human judgment?
No. Scamy is an assistive tool. It highlights patterns commonly found in scams, but users should still verify financial requests, account changes, and sensitive instructions with the official source.
Is Scamy legal or financial advice?
No. Scamy provides general scam-safety information and automated risk signals. It is not legal, financial, banking, insurance, or law-enforcement advice, and high-stakes decisions should be checked with the right professional or official organization.
Can people use Scamy from different countries?
Yes, but laws, reporting channels, and privacy rights vary by country and region. Users should follow the rules that apply where they live and report urgent fraud to their bank, platform provider, local police, or national scam-reporting service.
How does Scamy handle uploaded files and personal data?
Scamy does not save scan submissions to a Scamy database. Uploaded files are held in temporary server storage only for the analysis attempt, sent to OCR.space to extract text, and then deleted by Scamy immediately after the request finishes. Text, URLs, and extracted file text are sent to OpenAI to produce the scam analysis.
Why do the Terms of Service matter?
The Terms explain what the tool can and cannot do, how users should handle sensitive content, and how responsibility works when laws differ across countries. Reading them helps users understand the limits before relying on a result.