Audience
Developers, enterprises, and product teams seeking to build fast, multilingual speech-to-text applications with speaker identification, precise timestamps, and robust transcription in real-world conditions
About MAI-Transcribe-2
MAI-Transcribe-2 is Microsoft AI’s most capable transcription model yet, designed to deliver fast, accurate speech recognition across a broad range of real-world audio. It supports speaker diarization to distinguish speakers and attribute words to the right person, along with word-level timestamps for precise alignment, search, navigation, and editing. Keyword biasing helps recognize domain-specific terminology, abbreviations, names, and other terms that can be difficult to distinguish from context alone. Developers can choose between configurable transcription styles: a verbatim setting that preserves filler words and false starts for compliance and analysis, or a clean setting that removes fillers for more readable captions, notes, and published transcripts. The model supports code-switching for conversations that naturally move between languages, including blended language pairs such as Hinglish and Spanglish, and can automatically identify the language being spoken.
Other Popular Alternatives & Related Software
Gemini 2.5 Flash Native Audio
Google has released updated Gemini audio models that significantly expand the platform’s capabilities for natural, expressive voice interactions and real-time conversational AI with the introduction of Gemini 2.5 Flash Native Audio and improved text-to-speech technology. The updated native audio model powers live voice agents that can handle complex workflows, follow detailed user instructions more reliably, and maintain smoother multi-turn conversations by better recalling context from previous turns. It is now available across Google AI Studio,Gemini Enterprise Agent Platform, Gemini Live, and Search Live, enabling developers and products to build interactive voice experiences such as intelligent assistants and enterprise voice agents. In addition to the real-time voice improvements, Google enhanced the underlying Text-to-Speech (TTS) models in the Gemini 2.5 family to offer greater expressivity, tone control, pacing adjustments, and multilingual support.
Learn more about Gemini 2.5 Flash Native Audio
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.
Learn more about Nemotron 3.5 Transcribe
Muse Voice Transcribe
Muse Voice Transcribe is Meta’s first real-time audio perception model, delivering streaming automatic speech recognition (ASR), diarization, and endpointing in real time. An autoregressive multimodal model from the Muse Spark family, it processes audio in 80 ms chunks and decides dynamically whether to continue listening or emit text. Its adaptive delay changes the amount of audio context used for each word based on difficulty, balancing transcription accuracy with latency. The model is trained on more than 70 languages, with 25 extensively verified at launch, and natively supports arbitrary code-switching both within and between sentences. Language, keyword, and context biasing can further improve recognition accuracy for specific names, places, contacts, or terminology. Streaming diarization identifies speaker changes and distinguishes more than 20 speakers, while endpointing detects when speech begins and when a user finishes speaking.
Learn more about Muse Voice Transcribe
Gemini Audio
Gemini Audio is a set of advanced real-time audio models built on Gemini's architecture, designed to enable natural, fluid voice interaction and expressive audio generation through simple language prompts. It supports conversational experiences where users can speak, listen, and interact with AI in a seamless loop, combining understanding, reasoning, and response generation in audio form. It is capable of both analyzing and generating audio, allowing applications such as speech-to-text transcription, translation, speaker identification, emotion detection, and detailed audio content analysis. They are optimized for low-latency, real-time use cases, making them suitable for live assistants, voice agents, and interactive systems that require continuous, multi-turn dialogue. Gemini Audio also integrates advanced capabilities like function calling, enabling the model to trigger external tools and incorporate real-time data into responses.
Learn more about Gemini Audio
Integrations
Company Information
Microsoft AI
Founded: 2024
United States
microsoft.ai/news/mai-transcribe-2-is-the-fastest-most-accurate-and-cheapest-speech-recognition-model-in-the-world/
Videos and Screen Captures
Other Useful Business Software
$300 Free Credits to Build on Google Cloud
Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
Product Details
Platforms Supported
Cloud
Training
Documentation
Support
Online
MAI-Transcribe-2 Frequently Asked Questions
Q: What kinds of users and organization types does MAI-Transcribe-2 work with?
MAI-Transcribe-2 works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does MAI-Transcribe-2 support in their product?
MAI-Transcribe-2 supports these languages: English.
Q: What kind of support options does MAI-Transcribe-2 offer?
MAI-Transcribe-2 offers support via online.
Q: What other applications or services does MAI-Transcribe-2 integrate with?
MAI-Transcribe-2 integrates with: Microsoft Foundry and Microsoft Azure.
Q: What type of training does MAI-Transcribe-2 provide?
MAI-Transcribe-2 provides training in the form of documentation.
