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done thx |
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Google has just released Gemini 3.5 Transcribe, including a SMART transcription mode.
Unlike standard speech-to-text, SMART mode can clean up spoken language automatically by removing filler words, repetitions and false starts, while also handling self-corrections, punctuation and formatting.
This could be particularly useful for dictation in OpenWhispr, where the goal is often to produce clean written text rather than a verbatim transcript.
Describe the solution you'd like
It would be great to add Google Gemini 3.5 Transcribe as a speech-to-text provider/model in OpenWhispr.
Ideally, users could choose between:
VERBATIMmode for literal transcriptionSMARTmode for cleaned-up dictationSupport for Gemini's custom vocabulary/context feature would also be very useful for technical terms, product names and proper nouns.
Why this could be useful
For everyday dictation, SMART mode could reduce the need for a separate LLM cleanup step.
For example, spoken input such as:
could directly become:
This could improve both latency and the overall dictation experience.
Additional context
Google documentation:
Gemini 3.5 Transcribe:
https://ai.google.dev/gemini-api/docs/models/gemini-3.5-transcribe
Transcription documentation:
https://ai.google.dev/gemini-api/docs/transcribe
Google announcement:
https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5-transcribe/
I would be happy to test the integration on Windows if useful.
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