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Meet MAI-Transcribe-2: A faster and more accurate speech recognition model
MAI has launched MAI-Transcribe-2, a speech recognition model designed for high speed, accuracy, and cost-efficiency across 60 languages.
Why it matters
Lower transcription costs and faster processing times enable more affordable and efficient audio-to-text tools for legal, clinical, and accessibility applications.
The details
Speaker diarization distinguishes between different speakers within a recording, while word-level timestamps provide precise timing for every word. Users can choose between 'verbatim' styles that capture filler words and 'clean' styles that remove them. Additionally, code switching supports blended language pairs like Hinglish and Spanglish.
What's next
The promotional price of $0.10 per hour is available as a limited-time offer until the end of the year.
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Key connections
MAI-Transcribe-2 is related to Speech Recognition
MAI-Transcribe-2 is the fastest, most accurate and cheapest speech recognition model in the world
MAI-Transcribe-2 competes with Gemini 3.5 Transcribe
MAI-Transcribe-2 beats other leading models like Gemini 3.5 Transcribe
MAI-Transcribe-2 competes with GPT-Transcribe
MAI-Transcribe-2 beats other leading models like... GPT-Transcribe
MAI-Transcribe-2 competes with Whisper V3-Large
MAI-Transcribe-2 beats other leading models like... Whisper V3-Large
MAI-Transcribe-2 competes with Scribe v2
MAI-Transcribe-2 beats other leading models like... ScribeV2
MAI-Transcribe-2 is built with Speaker diarization
With new features like diarization
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MAI-Transcribe-2 is built with Keyword biasing
Keyword biasing helps the model recognize domain-specific terminology
MAI-Transcribe-2 is built with Code switching
Code switching supports conversations that naturally move between languages
MAI-Transcribe-2 is built with Automatic language identification
Automatic language identification accurately detects the specific language being spoken
OpenAI owns GPT-Transcribe
OpenAI’s GPT‑Transcribe
ElevenLabs owns Scribe v2
ElevenLabs’ Scribe v2
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