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Google takes Dreambeans to India in bid to bring AI-generated personal stories to the masses
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Google launched Dreambeans in India on Monday, its first market outside the U.S. The experimental AI app is available on Android and iOS in 13 local languages, including Hindi, Punjabi, Tamil, Telugu and Bengali, plus English. The expansion follows Google's U.S. rollout to eligible users aged 18 and older less than two months ago.
Introduced in June, Dreambeans generates personalized illustrated stories from connected Google services including Calendar, Gemini, Gmail, Photos, Search and YouTube. It requires no prompt, drawing on users' digital activity, and Google added its Veo model to animate select images. Google chose India for user interest and use of its services, Oznur said.
Dreambeans recorded nearly 55,000 U.S. downloads since June, with 63% in September, Sensor Tower estimates showed. October downloads fell 84% month over month to 5,500. In its first 30 days post-launch, it drew 29,000 downloads, versus 7.4 million for Meta's Muse, 2.8 million for ChatGPT, 362,000 for Grok Bot and 155,000 for Claude.
In India, users can select only one language at a time, and Dreambeans cannot currently mix languages, Oznur said. That may limit appeal where many people switch between Hindi and English, often mixing Hinglish. Privacy concerns also arise because the app uses sensitive data from connected Google accounts.
Google says users can choose which services to connect, disconnect them anytime, delete Dreambeans data and exclude topics such as business information. The app is restricted to personal Gmail accounts, not enterprise users, and stories are visible only to the account holder. Oznur acknowledged Dreambeans could surface upsetting memories, including stories involving people who have died.
The India launch will test whether proactive, personal AI stories can scale in a multilingual, price-sensitive market. Google has not disclosed further expansion plans. Dreambeans' reception will shape how the company balances personalization, privacy and local-language nuance.
