Yandex Introduces Generative Neural Network Features in Mobile Keyboard

Posted by By Dan Taylor 2 Min Read

Yandex has unveiled new features for its virtual keyboard on mobile devices, integrating the generative neural networks YandexGPT and YandexART. These enhancements are designed to improve user experience across any service that involves text input.

Advanced Text Assistance

With the integration of YandexGPT, users can now benefit from a range of text-improving features. The neural network will:

  • Correct errors
  • Add synonyms
  • Insert appropriate emojis
  • Place punctuation marks correctly
  • Capitalize letters where necessary

The “Improve Text” function helps maintain the original meaning of the text while making the vocabulary more diverse and the overall content simpler and more logical.

Enhanced Visual Experience

YandexART introduces the capability to create custom backgrounds for the Yandex Keyboard based on text descriptions. Users can personalize the appearance of their keyboard by adjusting colors, gradients, transparency, and other visual elements to their liking.

Practical and Engaging Features

These new functionalities are particularly useful for writing texts, ensuring error-free and visually appealing content. YandexGPT’s ability to select contextually appropriate emojis enhances the emotional and visual impact of social media posts, making them more engaging.

Availability

The new features are available in the latest version of the Yandex Keyboard app on both iOS and Android platforms.

Expanding Language Support

This announcement follows Yandex’s recent update to its Translator service, which now includes more than 20 languages of the peoples of Russia.

Source: Yandex press release

Dan Taylor
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Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.
Founder & Editor