Paste any suspicious message, email, or text below. Our AI reads it the way a fraud investigator would — and tells you exactly what's off.
Bank alertsPackage deliveryIRS / governmentPhishing emailsLottery winsRomance scamsTech supportJob offers
scamanot.com — scam text analyzer
Works with SMS, emails, WhatsApp, DMs, letters — any text format.
🔒 Your text is never stored, logged, or shared. Analysis runs server-side and is discarded immediately after your result is returned.
Results are for informational purposes only and do not constitute legal or financial advice.
Text never stored
AI runs server-side only
No account required
Cloudflare protected
What We Look For
The red flags scammers hope you miss.
Modern scam texts are engineered to trigger emotion before reason kicks in. Here's what our AI is trained to catch.
Urgency & Fear Tactics
"Act now or your account will be suspended." Artificial deadlines designed to short-circuit your judgment.
Impersonation
Fake banks, USPS, IRS, Amazon, or employers. Real organizations don't ask for verification via text link.
Suspicious Links
Shortened URLs, misspelled domains, or links that don't match the supposed sender's real web address.
Too Good to Be True
Unexpected prizes, refunds, or windfalls. If you didn't enter it, you didn't win it.
Requests for Personal Info
SSN, passwords, banking details, or verification codes asked for via text or email — always a red flag.
Unusual Payment Requests
Gift cards, wire transfers, cryptocurrency, or Zelle payments. Legitimate businesses don't require these.
How to Use This Tool
Three steps. Under 60 seconds.
1
Copy
Select all the text from the suspicious message — the more complete, the better the analysis.
2
Paste
Drop it into the analyzer above. Include the sender, subject line, and full body if possible.
3
Know
Get a clear verdict — Likely Safe, Suspicious, or High Risk — with a plain-English breakdown of exactly why.
Yes. Per our Security Policy Framework, your text is never stored, logged, or transmitted to any third party beyond the AI analysis engine. The analysis runs server-side through a Cloudflare Worker and the input is discarded immediately after your result is returned. We don't know who you are, and we don't want to.
Any text-based message: SMS texts, emails, WhatsApp messages, Facebook DMs, LinkedIn messages, letters, or any written communication that made you pause. The more complete the text you paste, the sharper the analysis.
Our AI is highly effective at identifying known scam patterns, manipulative language, and structural red flags. However, no automated tool is 100% accurate. We always recommend using your own judgment alongside our analysis. Scamanot is a second opinion, not a final verdict — and we're upfront about that. Results should not be the sole basis for financial or legal decisions.
No account, no email, no signup. Paste and analyze. We built it this way intentionally — the fewer barriers between you and the truth, the better.
Don't click any links in the message. Don't reply or call any numbers in it. If it claims to be from a bank or organization, contact that organization directly using a number from their official website — not the one in the message. You can report scam texts to 7726 (SPAM) by forwarding the message. For financial fraud, contact your bank immediately and file a report at reportfraud.ftc.gov.
Yes — free, with no hidden costs. Scamanot is supported by unobtrusive advertising. We'll never put your protection behind a paywall.
The most reliable way to identify a scam text is to look for four patterns: artificial urgency ("act now or lose access"), impersonation of a trusted brand like a bank or delivery service, a link that doesn't match the organization's real domain, and a request for personal information or payment. If a message contains even one of these, treat it as suspicious. Scamanot's Scam Text Analyzer checks all of these patterns simultaneously — paste the full message and get a plain-English verdict in under 60 seconds.
Package delivery impersonation scams — where fraudsters pose as USPS, FedEx, or UPS — remain the most reported text scam in 2026, followed closely by fake bank alerts and IRS impersonation. These messages are designed to look identical to real notifications, including official logos and domain-like links. The key difference is always in the link itself — legitimate organizations never ask you to verify account details by clicking a text link. When in doubt, paste the message into Scamanot's Scam Text Analyzer before clicking anything.
AI is currently one of the most effective tools available for scam detection because modern scams follow identifiable linguistic and structural patterns — urgency triggers, authority impersonation, vague sender identification, and unusual payment requests. Scamanot's analyzer is trained to recognize these patterns across SMS, email, WhatsApp, and other text formats, returning a verdict of Likely Safe, Suspicious, or High Risk with a plain-English explanation. No automated tool is 100% accurate, and Scamanot is always transparent about that — our analysis is a trusted second opinion, not a final verdict.
Yes — provided the tool has a clear no-storage policy backed by its infrastructure. Scamanot's Scam Text Analyzer runs entirely server-side through a Cloudflare Worker, and your input is discarded immediately after your result is returned. Nothing is logged, stored, or transmitted to any third party. We don't collect your IP address, we don't require an account, and we have no way of connecting a submission to an individual. Our full Security Policy is public — we don't store your searches, ever.
Before clicking any link in a message you're not certain about, do three things: check whether the sender matches the domain of the organization they claim to be, look for misspellings or unusual characters in the URL, and paste the full message into a scam analyzer. Clicking a malicious link — even without entering any information — can expose your device to tracking scripts or malware. Scamanot's URL Safety Checker and Scam Text Analyzer can both be used before you click, giving you a clear risk assessment in seconds.
Modern scammers use several techniques to make fraudulent messages look legitimate: SMS spoofing to display a real bank's name as the sender, brand-identical formatting copied from real notifications, urgent but vague language designed to trigger emotional responses before logical ones, and shortened or disguised links that appear credible at a glance. The sophistication of these messages has increased dramatically — in 2026, even tech-savvy users report being temporarily fooled. Scamanot's AI is specifically trained on these techniques and can identify the tells that human eyes miss under pressure.