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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Voxtral Small Transcribe 3
Voxtral Small Transcribe 3 is a multilingual speech-to-text model for transcribing recorded audio. Mistral provides it through an audio transcription API and documents timestamps, speaker diarization, and context biasing, which allows developers to supply key phrases to help recognize domain-specific terms and names. The model automatically detects supported languages or accepts a language code, and supports more than 50 languages. It is designed for application developers building recorded-audio workflows, including meeting, interview, and call transcription, customer-service systems, and voice-agent pipelines. Mistral also describes self-deployment options for the Voxtral 3 family, including private-cloud and on-premises hosting.
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Gemini 3.5 Transcribe
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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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Fish Audio
1.0 out of 5 stars
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Fish Audio provides innovative AI-powered solutions for text-to-speech (TTS), voice cloning, and speech-to-text (STT) technologies. The platform is designed for businesses and developers looking to integrate high-quality, realistic voice synthesis into their applications. Fish Audio offers voice cloning tools that allow users to replicate voices, and its generative AI technology can produce expressive, natural-sounding speech in multiple languages. Additionally, Fish Audio supports an API for easy integration and has expanded capabilities with a voice activity detection feature. Whether for content creation, virtual assistants, or customer support, Fish Audio offers powerful solutions for a variety of industries.
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