I Built Termsight: An AI That Reads the Privacy Policy So You Don't Have To.

A developer built Termsight, an open-source tool that analyzes privacy policies and terms of service and explains them in plain English, covering data collection, third-party sharing, retention, and user rights, with each finding linked to the exact source section. The tool runs locally on the open-weight Qwen2.5-1.5B-Instruct model with a Streamlit interface, so policy text is never sent to a commercial AI API. The developer split the analysis into four focused prompts rather than one combined prompt, which improved answer quality and prevented the model from returning bare citations instead of explanations.

What I Built Termsight is an AI tool that reads privacy policies and terms of service and explains them in plain English, so you don't have to. Paste in a policy or a link to one , and Termsight breaks it down into four things people actually care about: what information is collected, how it may be shared with third parties, how long it's retained, and what rights you might be giving up. Every finding links back to the exact section of the original document it came from — and if the policy doesn't clearly answer something, Termsight says so instead of guessing. The lazy payoff: nobody has to actually read pages of legal text anymore just to know what they're agreeing to. Anyone who's ever clicked "Accept" without reading gets to be a little lazier and better informed at the same time. https://lumping-playable-sauciness.ngrok-free.dev/ https://lumping-playable-sauciness.ngrok-free.dev/ GitHub: https://github.com/Ayomiposi20/termsight https://github.com/Ayomiposi20/termsight Termsight runs on Qwen2.5-1.5B-Instruct, an open-weight language model, loaded and run locally rather than called through a commercial AI API. The interface is built with Streamlit. The pipeline: I deliberately split the analysis into four separate, focused prompts rather than one big prompt asking everything at once with a smaller model, this made a real difference in answer quality and prevented the model from just dumping bare citations instead of actual explanations. Privacy policies are sensitive by nature pasting one into a commercial AI service means trusting yet another third party with that text, which is a strange thing to do for a tool whose whole purpose is helping you protect your privacy. Because Termsight runs on an open-weight model instead of a closed API, the policy text is never sent to a third-party AI service. That's not just a technical detail it's the actual point. A tool meant to help you understand what you're agreeing to shouldn't require agreeing to something new sending your data elsewhere just to use it. Open models make that kind of honest, self-contained tool possible in a way a closed API fundamentally can't.