QR Code Reader & Scam Blocker vs Slop Or Not

Stay safe from scams when scanning QR Codes! Simple and easy to use, after scanning the code be warned of possible scams or fraud. Stay safe when scanning QR Codes! Also check a website url you would like to verify for safety, for example if someone emails you with a link you're not sure about. TDLR - A QR Reader/Scanner with inbuilt scam prevention!

Spot AI-generated writing and images privately on your iPhone - entirely on the Apple Neural Engine. Nothing gets uploaded. Nothing leaves your device. Most AI scanners (Winston AI, Originality, Copyleaks, Turnitin, Hive and the rest) send your content to remote servers. Some also share it with third parties like advertisers and cloud providers. Slop Or Not doesn't. If you're checking for plagiarism or reviewing something sensitive and can't risk it sitting on someone else's server, that's the point. How accurate is it? C2PA / IPTC watermarked images: 100% detection. Images with invisible SynthID watermarks: 100% detection. AI-generated text: 95% on mixed-domain benchmarks (comparable to GPTZero).‡ AI-generated images: 94% on Mirage-Test - up 18 points from our previous model. What else does it do? A text cleanup tool strips invisible unicode, suspicious punctuation, and homoglyphs that AI text sometimes carries. It also catches paraphrase patterns from humanizer tools. One tap. Readability scoring rates how easy your text is to read. Flesch Reading Ease and Flesch-Kincaid for English, GULPEASE for Italian, LIX for Swedish, Danish, and Norwegian, Flesch-Szigriszt for Spanish, and Wiener Sachtextformel for German. Works offline after the initial model download. Comes with a sticker pack for calling out AI slop in group chats. How does it work? Everything runs locally on your device. Models download once during setup. Paste text or pick photos to verify. Real results in seconds - all processed on-device via the Apple Neural Engine. Pricing Free: 1 check/day. Pro: unlimited. Monthly, annual, or lifetime. Annual and lifetime support Family Sharing. Background We shipped Private LLM almost three years ago - first on-device LLM app for iPhone. On-device AI is what we do. *Image accuracy: Mirage-Test benchmark, March 2026. Text accuracy: internal mixed-domain benchmarks. Results may vary with newer models and adversarial attacks. ‡ English only for now. More languages coming. Internet needed only for initial model downloads and occasional model updates and model decryption key downloads from the App Store. All detection runs on-device. Sticker packs are for educational and informational purposes. Please follow your local data-handling regulations. Terms (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy Policy: https://slopornot.ai/privacy-policy