"Just like other dictation apps, Ramber removes filler words like "ums" and "ahs". It also understands mid-sentence corrections like, "I am going to meet you on Wednesday at our usual coffee shop at 3 PM... umm, 2 PM.""
"Google said it is using Gemini-based multilingual models that also support code switching. Code switching means users can move between languages mid-sentence - say, from English to Hindi - and Rambler will follow along without losing context. It's a capability that reflects how many multilingual speakers actually communicate, and one that most Western dictation apps have been slow to support."
"The company said that Gboard will clearly indicate to its users that the Rambler feature is in use. It doesn't store any voice recordings and uses the audio only to transcribe what users speak. Google mentioned during the briefing that, as you can use the Rambler feature across all apps, it is like "reinventing the keyboard.""
"On privacy, Ben Greenwood, director of Android Core Experiences, said Google uses a combination of on-device and cloud-based processing, and has "invested significantly over many years" to ensure features are "safe and private" - a calculated message to users weighing Rambler against third-party dictation apps that may handle data differently."
Rambler is an AI-powered voice dictation feature for Gboard on Android. It removes filler words such as “ums” and “ahs” and can handle mid-sentence corrections, updating transcriptions when users change details. It uses Gemini-based multilingual models that support code switching, allowing users to move between languages within a single sentence while keeping context. Gboard indicates clearly when the feature is active. Rambler does not store voice recordings and uses audio only to transcribe spoken input. Google also uses a mix of on-device and cloud processing and emphasizes long-term investment in safety and privacy, positioning the feature as broadly usable across apps.
#ai-voice-dictation #gboard #multilingual-code-switching #privacy-and-on-device-processing #gemini-models
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