Google Rolls Out Generative AI Search Capabilities in Hindi Globally

9 September, 2025

Google has launched the AI-powered mode in its Search feature in Hindi for users across the globe. Powered by a custom version of its Gemini 2.5 model, the update allows users to ask longer, more complex, or nuanced questions in Hindi and receive more helpful, personalized answers. The feature is designed to be multimodal, enabling queries via text, voice, or images. This global rollout significantly enhances information access for hundreds of millions of Hindi speakers, making advanced AI search tools more widely available.

Unpacked:

How does the new AI-powered Hindi Search differ from simply translating English search results into Hindi?

The AI-powered Hindi Search uses Gemini 2.5’s reasoning and multimodal capabilities to understand local context, cultural references, and nuanced queries, rather than just translating English results. This approach provides more relevant and helpful answers tailored specifically for Hindi speakers’ needs and information habits.

What are some practical examples of complex or nuanced questions users can now ask in Hindi?

Users can ask multifaceted questions such as planning a garden on a balcony during the monsoon, requesting recommendations for night-blooming, aromatic plants, or planning trips with specific preferences. The AI can handle queries that would normally require multiple searches and factor in local context.

What is the significance of launching this feature globally for Hindi speakers?

Launching globally means Hindi speakers outside India—such as those in the US, UK, and the Middle East—now have enhanced access to personalized, AI-powered search in their language, improving information access and digital inclusion for hundreds of millions worldwide.

Are there any concerns about privacy or data use with this new AI-powered search mode?

While the summary does not mention privacy specifically, Google's AI search features generally follow company privacy policies, handling user data with established security measures. However, as with all AI tools, users and advocacy groups often raise concerns about data collection, personalization, and algorithmic transparency.