Google quietly launches an AI dictation app for iOS that works without internet
Google has quietly launched a new AI dictation app for iOS that works without an internet connection. It runs on Google's own Gemma language models, executed directly on the device. The app targets the voice input market, where Wispr Flow has already established itself. Offline mode cuts latency, saves data and addresses privacy: voice data never leaves the smartphone.
AI-processed from TechCrunch; edited by Hamidun News
Google has quietly released a voice dictation app for iOS that works entirely without internet. It uses Gemma language models, Google's own series of compact AI models optimized to run directly on the device. It is a direct challenge to the voice input market, which third-party developers have controlled until now.
With no fanfare or big announcement, Google put the new app in the App Store. It is positioned as a next-generation dictation tool: the user speaks, and the model recognizes, processes and outputs the text, all locally on the iPhone. No voice clip is sent to remote servers.
The app is built on Gemma, a family of open language models that Google has actively developed since early 2024. Unlike heavy cloud models, Gemma is designed to run on consumer devices with limited resources: smartphones, laptops and tablets. The company has already built Gemma into several Android features and has now brought the same approach to iOS, a platform where Google has historically ceded ground to Apple.
The new app's main rival is Wispr Flow, which quickly became a favorite of the tech community: startups, developers and content creators use it for voice input in any app on Mac and Windows. Wispr offers a convenient overlay, dictation in any input field and integration with work tools. Google's product is more modest in features for now, but its trump cards are different.
First, privacy. Offline processing means voice data physically does not leave the device. For many users this is critical: dictation often contains personal information, work documents and confidential conversations. Cloud services, even with a good privacy policy, remain a point of vulnerability. Local processing removes the issue entirely.
Second, speed. With no network requests, there is no delay between speech and text. In practice this is most noticeable on an unstable connection: on the subway, on a plane, in weak coverage areas. The app works equally reliably regardless of internet quality.
Third, data savings. Dictating to the cloud creates a constant stream of audio data, which is a real problem for users on limited plans. Offline mode eliminates any mobile data use for AI processing.
The iOS launch looks like a strategic signal. Google is actively promoting Gemma as an open solution for on-device AI and demonstrating its capabilities through its own products. The dictation app is a clear proof of concept: a small model handles real-time speech recognition without cloud support.
The voice input market is quickly becoming competitive. Apple improves its built-in dictation with every iOS version. Microsoft is integrating voice features into Windows through Copilot. Startups such as Wispr Flow and Superwhisper build products on top of open models like OpenAI's Whisper. Now Google joins the race with its own stack and a strong brand.
A quiet release with no press release is a typical Google tactic for new experimental products. The company ships, watches the audience reaction and iterates. If the app gains organic traction, expect a broader announcement, Google Docs integration and possibly an Android version.
Either way, this is good news for users: competition pushes prices down and quality up.
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