Gemini 3.5 Transcribe Live
Gemini 3.5 Transcribe Live: Real-time speech to text.
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- Janela de contexto (tokens)
- 131.072
Gemini 3.5 Transcribe Live is a powerful audio model that transforms spoken language into text as it happens. It excels at capturing live speech, making it ideal for transcribing meetings, interviews, lectures, and live events with minimal delay.
Use this model when you need immediate, accurate text from audio streams. It handles multiple speakers, different accents, and background noise better than standard speech recognition, providing a reliable transcript you can edit, search, or share in real time.
What sets Gemini 3.5 Transcribe Live apart is its ability to understand context and punctuation naturally, producing clean, readable transcripts without requiring manual corrections. It's built for speed and accuracy, ensuring you never miss a word.
- Live meeting transcription
- Real-time interview captioning
- Lecture and class note-taking
- Podcast live captioning
- Voice-to-text for accessibility
Transcribes speech with high accuracy as it's spoken, even in noisy environments.
Automatically identifies and labels different speakers in a conversation.
Adds natural punctuation and formatting for clean, readable transcripts.
- Use a quality microphone in a quiet room for best results.
- Speak clearly and at a moderate pace to improve accuracy.
- Review and edit transcripts for critical documents.
- Test with a short sample before live use.
- May struggle with heavy accents or very fast speech.
- Requires a stable audio input for best performance.
- Limited to languages supported by the model.
Transcribe the keynote speech in real time with speaker identification and punctuation.
Transcribe this podcast episode, separating hosts and guests, and add paragraph breaks.
Transcribe the classroom discussion, labeling each student and the teacher.
A number to make results reproducible; same seed gives same output.
Number of processing steps; more steps can improve accuracy but take longer.
Limits word choices to a cumulative probability; lower values make output more focused.
Maximum length of audio to transcribe in seconds.
Controls randomness in transcription; lower values are more accurate, higher values allow more creative interpretation.
How closely the model follows the audio; higher values stick to the source.
Os preços exibidos são o que você paga na Muitto. Sem surpresas.
Can it transcribe multiple speakers at once?
Yes, it can identify and label different speakers in real time.
Does it work with background noise?
It handles moderate background noise but performs best in quiet environments.
Is the transcription saved automatically?
The model outputs text in real time; you can save it as needed.