Opera brings local AI to its browser with an opt-in WebAI preview
The early release supports multiple models and keeps local AI processing on the device, Opera says. The trade-off is greater demand on the user's computer.
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The early release supports multiple models and keeps local AI processing on the device, Opera says. The trade-off is greater demand on the user's computer.
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Opera is making its browser-based local AI approach available through WebAI, an opt-in early preview in Opera One. The model-agnostic system can use Google’s Gemma and, on Macs, Apple’s on-device foundation model, with support for text generation, content classification and identifying relationships. Keeping processing on the user’s machine can reduce reliance on cloud services and per-request infrastructure, but shifts the computing load to the device; performance will depend on its hardware. Opera GX and Opera Neon are planned to get the features later.
Opera says WebAI is intended to support a range of open-weight models, though open weights do not necessarily mean unrestricted or fully open-source software.
The preview supports three browser tasks: generating text, classifying content and identifying relationships between information.
Local processing keeps information on the device, but it does not eliminate every privacy risk and may affect computer performance.
Opera One users can now opt into an early preview that runs AI models inside the browser rather than relying on cloud processing. Called WebAI, the release is designed to work with multiple models. Opera's pitch is more control over the information AI handles, without requiring users to pay for a cloud AI subscription.
The introduction builds on Opera's previous work bringing locally run models into its browsers. WebAI is the company's new standard for that approach: the model does its processing on the user's own machine, rather than sending that work to a company's cloud server.
Opera describes WebAI as model-agnostic, meaning it is not tied to one AI model. The company names Google's Gemma as a supported example and says Macs can also use Apple's on-device foundation model. Its stated aim is to support a wide range of open-weight systems.
Open-weight models make their underlying model weights publicly available, giving developers more freedom to customize how they work. They are typically free to download and use. That does not make them equivalent to fully open-source software: restrictions can still apply.
Opera says WebAI supports three kinds of work directly in the browser:
Developers can add AI features without running AI infrastructure or paying for every request,
Opera, in its announcement quoted by TechCrunch
For users, Opera emphasizes where the information goes. The company says information handled by local AI stays on the device, and users remain in control of the AI running there. That offers an alternative to sending personal information to a server, though local processing does not eliminate every privacy risk.
The trade-off is a heavier workload for the computer. Running models locally puts more demand on the device and can affect performance. Opera says model performance depends on the user's hardware. The promise of avoiding cloud processing therefore comes with a practical constraint: the machine itself has to do the work.
For now, access is an opt-in early preview in Opera One, not an automatic addition for every user. Opera says its gaming-focused browser, Opera GX, and its AI-agent browser, Opera Neon, will receive the features later. Those versions remain planned additions rather than part of the current preview's availability.
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