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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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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Nemotron 3.5 Transcribe
NVIDIA Nemotron 3.5 Transcribe is an open-weight speech and audio model for developers building transcription and audio-processing systems. It converts recordings into text and supports verbatim or edited transcription, contextual vocabulary, speaker attribution, word-level timestamps, speech translation, language identification, and audio question answering. Its language matrix covers 40 languages, with task coverage varying by language. The model can process recordings up to one hour and is designed for offline inference using compatible NVIDIA GPU hardware and supported runtimes. Teams can integrate it into speech interfaces, meeting and media processing, customer-service analytics, translation tools, and other audio-understanding applications. Model weights and a fine-tuning toolkit are released under the OpenMDW-1.1 license; hardware and serving requirements depend on deployment.
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Speechmatics
Best-in-Market Speech-to-Text & Voice AI for Enterprises.
Speechmatics delivers industry-leading Speech-to-Text and Voice AI for enterprises needing unrivaled accuracy, security, and flexibility. Our enterprise-grade APIs provide real-time and batch transcription with exceptional precision—across the widest range of languages, dialects, and accents.
Powered by Foundational Speech Technology, Speechmatics supports mission-critical voice applications in media, contact centers, finance, healthcare, and more. With on-prem, cloud, and hybrid deployment, businesses maintain full control over data security while unlocking voice insights.
Trusted by global leaders, Speechmatics is the top choice for best-in-class transcription and voice intelligence.
🔹 Unmatched Accuracy – Superior transcription across languages & accents
🔹 Flexible Deployment – Cloud, on-prem, and hybrid
🔹 Enterprise-Grade Security – Full data control
🔹 Real-Time & Batch Processing – Scalable transcription
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