Original Summary

Most AI detectors ask you to upload whatever you're checking. That's a problem for a lot of what people actually want to check, like student essays, job applications or personal photos, so I tried running the whole thing in the browser instead. Link: https://tinydetect.ritabratamaiti.com/ (free, no sign-up) How it works: Text uses Fakespot's RoBERTa AI-text detector. I tuned it a little and quantized it, which brought it down from about 500 MB to 97 MB. Images use the Community Forensics model, quantized to about 26 MB. Both run with ONNX Runtime Web. It uses WebGPU if your browser has it and WebAssembly otherwise. The models download once and get cached. After that, a text check takes about 60 ms on my laptop, and it keeps working offline as long as the tab stays open. I didn't build these detectors from scratch. The base models come from Fakespot and the Community Forensics team. My part was getting them small enough to run in a browser and building the site around them. Some limitations: AI detectors get things wrong, so please don't use a score to fail a student or reject a job candidate. Using AI to help with writing isn't automatically a problem, either. Short text, heavily edited text, screenshots and cropped images are harder to judge. The first load is a big download, and phones may struggle with it. Your text and images stay on your device, but the page still has to download the models, the runtime and some fonts. Only the web checker works right now. The extensions and add-ons shown on the page are planned. The code and the training and quantization scripts are here: https://github.com/ritabratamaiti/tinydetect I'd especially like to hear about false positives on your own writing.   submitted by   /u/Alternative_Detail31 [link]   [comments]

  • 情报分类：工作与职业机会
  • 分类依据：内容涉及招聘、求职或职业发展
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/10/12 15:33:19