Gemini 3.5 Transcribe
Gemini 3.5 Transcribe is Google’s most precise speech-to-text model yet, designed for intelligent voice interactions and real-time transcription. Instead of simply converting speech word for word, it turns raw audio into accurate, polished, formatted text while handling background noise, complex jargon, accents, dialects, and natural speaking patterns. Smart transcription automatically understands self-corrections, removes filler words such as “ums” and “ahs,” and formats the final text for readability. The model supports continuous bidirectional streaming with sub-second latency for interactive voice applications, as well as pre-recorded audio processing for meetings, call logs, and other recordings with speaker attribution and word-level timestamps. Custom vocabulary helps it recognize specialized terminology, unique spellings, postal codes, order IDs, and other domain-specific language.
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Voxtral Mini Transcribe 3
Voxtral Mini Transcribe 3 is a speech-to-text model from Mistral AI that converts audio recordings into written transcripts through an API. Developers can submit audio for batch transcription and receive text with timestamps and speaker labels. It supports multilingual transcription, speaker diarization, and context biasing, which lets an application supply names or specialized vocabulary to guide recognition. The model is designed for developers building applications and audio workflows that need to make recorded speech searchable, attribute words to speakers, or align transcript segments with audio. Teams can call it through Mistral's hosted API and incorporate its output into their own software, such as transcription pipelines and voice-enabled services. It is a model/API offering rather than a standalone recording or editing application.
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Voxtral Mini Transcribe Realtime 3
Voxtral Mini Transcribe Realtime 3 is a speech-to-text model delivered through Mistral’s API for applications that need live transcription. It streams audio over WebSocket and returns transcript events while a person is speaking, with configurable streaming delays. Developers can use it to add real-time captions, voice-assistant input, or transcription to voice-agent workflows. The model provides turn detection, speaker diarization, and context biasing for domain-specific vocabulary, and supports transcription across 45 languages and dialects. Applications can connect to its real-time endpoint and receive transcription events as audio arrives, rather than waiting for an entire recording to finish. Voxtral Mini Transcribe Realtime 3 is part of Mistral’s Voxtral audio model family.
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TurboScribe
Convert audio and video to accurate text in seconds. Our GPU-powered transcription engine converts audio and video to text in seconds. Upload files in all common formats, including YouTube and more. TurboScribe is powered by Whisper, the most accurate and powerful AI speech-to-text transcription technology in the world. Translate transcripts or subtitles to 134+ languages. Transcribe speech in any language directly to English. Your data is private and only you have access. Files and transcripts are always stored encrypted. TurboScribe supports the vast majority of common audio and video formats, including MP3, M4A, MP4, MOV, AAC, WAV, OGG, and more. While clean and clear audio produces the best results, TurboScribe generally does well with accents, background noise, and lower audio quality.
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