WebAI lets websites and extensions use AI models running on your computer, without sending page content to a cloud AI service.
@Opera built the inference engine right into the browser. Developers get three APIs for text generation, classification, and finding related content.
Opera also made six example extensions, including one that quizzes you on an article and another that highlights paragraphs relevant to your project. These small tools make total sense to run locally.
WebAI is now an opt-in early preview in Opera One. It supports local models including Gemma and Apple's on-device foundation model on Macs.
How does a website negotiate which local model it gets to use? Wondering what stops a random site from quietly spinning up the biggest model available and eating my battery for breakfast.
The three APIs are what caught my eye, especially the related-content one, since that is the one where a page would need the most context. When a site asks for related content, does it get back passages it can highlight directly, or does it have to re-find them in the page itself? And if the user only has one local model installed, does the site get to say which capability it needs, or does WebAI just offer whatever model is there?
Love to see Opera embracing local models first on this, super cool and definitely the right direction IMO
classification and related content seem like sensible first uses for a model already in the browser
i would want the site permissions to make it clear which page can use it and what context that page gets
About WebAI by Opera on Product Hunt
“Let websites use AI running on your computer”
WebAI by Opera launched on Product Hunt on October 28th, 2026 and earned 84 upvotes and 5 comments, placing #15 on the daily leaderboard. You can now access local AI built into the browser to start creating your own browser capabilities instead of relying on others' extensions.
WebAI by Opera was featured in API (98.8k followers), Privacy (11.4k followers) and Artificial Intelligence (482.7k followers) on Product Hunt. Together, these topics include over 158.4k products, making this a competitive space to launch in.
Who hunted WebAI by Opera?
WebAI by Opera was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how WebAI by Opera stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Zac Zuo
Hi everyone!
WebAI lets websites and extensions use AI models running on your computer, without sending page content to a cloud AI service.
@Opera built the inference engine right into the browser. Developers get three APIs for text generation, classification, and finding related content.
Opera also made six example extensions, including one that quizzes you on an article and another that highlights paragraphs relevant to your project. These small tools make total sense to run locally.
WebAI is now an opt-in early preview in Opera One. It supports local models including Gemma and Apple's on-device foundation model on Macs.