
Voxtral Transcribe 2 is a family of next-generation speech-to-text models offering real-time transcription and batch transcription capabilities. It consists of Voxtral Mini Transcribe V2 for high-accuracy batch processing and Voxtral Realtime for live applications. The models are designed for developers building voice agents, meeting intelligence tools, and multilingual transcription services. Core value includes state-of-the-art transcription quality, ultra-low latency down to sub-200ms, and speaker diarization, all at an industry-leading price-performance ratio.
Traditional speech-to-text solutions often struggle with latency, accuracy in noisy environments, and speaker attribution. Voice agents and live transcription apps require sub-second response times, yet many systems cannot deliver real-time results without sacrificing quality. Additionally, handling multiple speakers in meetings or call centers is error-prone, leading to garbled transcripts. Multi-language support is often limited or expensive. These pain points force developers to compromise on performance or incur high costs. Voxtral Transcribe 2 addresses these challenges by providing both a batch model with best-in-class word error rate and a streaming model with configurable delay, solving the core issues of speed, accuracy, diarization, and multilingual coverage.
Voxtral Transcribe 2 includes speaker diarization and word-level timestamps as key features. Speaker diarization generates transcriptions with labels identifying who spoke each segment, along with precise start and end times. This makes it ideal for meeting transcription, interview analysis, and multi-party call processing. Word-level timestamps provide start and end times for every word, enabling applications like subtitle generation, audio search within recordings, and precise content alignment. These features work together to give developers full control over transcription output, allowing downstream systems to index, search, and attribute speech accurately.
The model also introduces context biasing, allowing users to provide up to 100 words or phrases that guide transcription toward correct spellings of names, technical terms, or domain-specific vocabulary. This is particularly useful for proper nouns and industry terminology that generic models often miss, such as medication names in healthcare or product codes in manufacturing. Additionally, noise robustness ensures the model maintains accuracy in challenging acoustic environments like factory floors, busy call centers, and field recordings. These capabilities expand the usefulness of Voxtral Transcribe 2 beyond clean speech to real-world, noisy conditions.
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Voxtral Transcribe 2 natively supports 13 languages: English, Chinese, Hindi, Spanish, Arabic, French, Portuguese, Russian, German, Japanese, Korean, Italian, and Dutch. Non-English performance significantly outpaces competitors, as shown in FLEURS benchmarks. The batch model, Voxtral Mini Transcribe V2, can process audio recordings up to 3 hours in a single request, making it suitable for long meetings, podcasts, or archived content. Combined with low price of $0.003 per minute, it offers the best price-performance of any transcription API, outperforming much larger models at a fraction of the cost.
Voxtral Transcribe 2 comprises two distinct models serving different workflows. Voxtral Mini Transcribe V2 operates as a batch API, taking full audio files and returning complete transcripts with diarization, timestamps, and optional context biasing. Voxtral Realtime uses a novel streaming architecture that transcribes audio as it arrives, rather than processing chunks. This enables configurable latency down to sub-200ms, matching batch accuracy at higher delays. Developers can integrate either model via the `/v1/audio/transcriptions` endpoint, and test them in the Mistral Studio audio playground, which allows uploads of up to 10 files with toggleable features.
In meeting intelligence, Voxtral Transcribe 2 transcribes multilingual recordings with clear speaker attribution, enabling teams to review discussions at low cost. For voice agents, sub-200ms latency allows natural conversational flows, connecting to LLMs and TTS systems. Contact centers use real-time transcription to analyze sentiment, suggest responses, and populate CRM fields during calls, with diarization separating agent and customer. Media broadcasters generate live multilingual subtitles with context biasing for proper nouns. Compliance teams monitor interactions for regulatory adherence, using timestamps for audit trails. Each use case benefits from the model's accuracy and speed, reducing manual effort and improving user experience.
Voxtral Transcribe 2 targets developers, AI engineers, and product teams building voice-enabled applications. The models are available via API and as open weights under Apache 2.0 for Voxtral Realtime, deployable on edge for privacy-first deployments. Pricing is $0.003 per minute for Mini Transcribe V2 and $0.006 per minute for Realtime. Both models support GDPR and HIPAA-compliant deployments through secure on-premise or private cloud setups. With state-of-the-art accuracy, ultra-low latency, and comprehensive features, Voxtral Transcribe 2 sets a new standard for speech-to-text, empowering developers to create responsive, multilingual voice experiences.
Software developers building voice-enabled applications, AI engineers working on conversational agents, and product teams integrating speech-to-text. Contact center operators seeking real-time call transcription with analytics. Media and broadcast engineers needing live subtitling. Compliance officers in regulated industries requiring accurate speaker-attributed transcripts. Researchers deploying open-weights models on edge devices for privacy. Also suitable for meeting intelligence platforms, interview analysis tools, and multilingual documentation systems.