Can We Trust It
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Can We Trust It? is a free, AI-powered scam and fraud detector built to help everyday people check whether a message is safe. Paste any suspicious email, text, link, job offer, or social post โ or upload a screenshot โ and it analyses the content for known scam patterns in seconds, explaining the warning signs in plain language and what to do next. It flags high-risk patterns rather than claiming certainty, and works in 20 languages with full right-to-left support. The site also hosts 50+ in-depth guides on specific scams (romance scams, fake delivery texts, crypto fraud, and more). No account required, privacy-first, free to try, with paid plans from $7/month for higher limits.
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Can We Trust It Python ExamplesCan We Trust It's answer
It gives an honest, probabilistic read โ it flags high-risk patterns and explains the reasoning in plain language, rather than claiming certainty that something "is" a scam. There's no account, no upsell, and no security-suite bloat: you paste a suspicious email, text, link, or screenshot and get a clear risk check in seconds. It works in 20 languages with full right-to-left support, and it's backed by 50+ in-depth guides on specific scams.
Can We Trust It's answer
It started when the founder's mother nearly fell for a fake delivery text. That moment โ seeing how convincing modern scams have become, and how little quick help exists for someone in the moment of doubt โ was the motivation. Can We Trust It was built solo as both a product and a personal mission: an honest, no-account tool that gives people a fast, plain-language read on whether a message is safe.
Can We Trust It's answer
Most scam-checkers are free loss-leaders that require an account and funnel you toward a paid security suite. Can We Trust It does one thing well: check a message, fast, free, no sign-up. The verdicts are deliberately probabilistic and transparent about their reasoning, it supports 20 languages including right-to-left scripts, and it's privacy-first โ no account, and message content isn't stored. It's built for the moment you've just received something suspicious and want a quick, honest second opinion.
Can We Trust It's answer
Everyday people at the moment they receive something suspicious โ a text, email, job offer, listing, or social message they're unsure about. It's especially for the people scammers target most, including those less familiar with the latest tactics. The 20-language, right-to-left support also makes it useful for non-English speakers, who are often underserved by English-only tools.
Can We Trust It's answer
Next.js (App Router) with TypeScript and Tailwind CSS, deployed on Vercel. Scam analysis is powered by large language models via the Anthropic Claude API, including image analysis for screenshot uploads. It uses Upstash Redis for rate limiting, Stripe for payments, and next-intl for 20-language internationalisation with right-to-left support.
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