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MAI-Transcribe 1.5
MAI-Transcribe 1.5 is Microsoft's multilingual speech recognition model built on Azure AI Speech. It transcribes audio to text with high accuracy across diverse languages, accents, and audio conditions.
MAI-Transcribe 1.5 is Microsoft's speech-to-text model supporting 100+ languages, automatic language detection, and punctuation restoration via AIML API.
What exactly is MAI-Transcribe 1.5?
MAI-Transcribe 1.5 is Microsoft's speech-to-text model built on Azure AI Speech technology. It converts spoken audio into accurate, formatted text — supporting over 100 languages and locales, automatic language detection, and punctuation restoration out of the box. Available through AIML API with a single endpoint call.
API Pricing
* $0.468 / hour of audio
Architecture: what makes it work
Azure AI Speech backboneMAI-Transcribe 1.5 runs on Microsoft's Azure AI Speech infrastructure — the same engine that powers Teams transcription, Cortana, and enterprise dictation products. The model benefits from years of production-scale training on diverse audio conditions, speaker accents, and domain-specific vocabulary.
Multilingual acoustic modelingThe model is trained on audio data across 100+ languages and locales, enabling accurate transcription without language-specific configuration. Speakers can switch languages mid-audio and the model adapts without requiring separate calls.
Automatic language detectionMAI-Transcribe 1.5 identifies the spoken language from the audio signal itself — no language tag required. This is particularly useful for multi-lingual content, inbound audio pipelines, and real-time transcription workflows where the input language is not known in advance.
Punctuation and formatting restorationThe model does not return raw word sequences. Punctuation, sentence boundaries, and basic formatting are restored automatically — producing transcripts that are readable and ready for downstream processing without post-processing scripts.
Noise robustnessThe acoustic model is trained on audio recorded in diverse real-world conditions: phone calls, conference rooms, field recordings, and noisy environments. It handles reverb, background noise, and compression artifacts without degrading accuracy significantly.
Core capabilities
Multilingual transcriptionTranscribe audio in 100+ supported languages with per-language acoustic models fine-tuned for phonetic accuracy. Switch languages within a single audio file without configuration changes.
Automatic language identificationPass audio without specifying the language. The model detects and transcribes in the correct language — suited for global customer support recordings, multilingual meetings, and variable-language media.
Punctuated, structured outputReceive transcripts with sentence-level punctuation, proper capitalization, and natural paragraph breaks — not raw token streams. Downstream text processing can work directly with the output.
Long-form audio processingTranscribe extended recordings: lectures, interviews, meetings, podcasts, and call center audio — without chunking or context loss across segments.
Who should use MAI-Transcribe 1.5?
Customer support and call center teamsOrganizations transcribing inbound calls, support sessions, and sales recordings for quality assurance, compliance logging, and agent coaching.
Media and content platformsPodcast platforms, video services, and broadcast teams generating transcripts, subtitles, and closed captions from audio and video content.
Enterprise productivity toolsMeeting transcription, voice note digitization, and dictation workflows where accurate, punctuated text output is required at scale.
Developers building voice-enabled appsEngineers adding speech input to applications — voice commands, audio search, interview analysis tools — with a reliable, multilingual transcription backend.
Research and compliance teamsTeams processing recorded interviews, focus groups, or regulatory audio archives that require structured, searchable text output.
What exactly is MAI-Transcribe 1.5?
MAI-Transcribe 1.5 is Microsoft's speech-to-text model built on Azure AI Speech technology. It converts spoken audio into accurate, formatted text — supporting over 100 languages and locales, automatic language detection, and punctuation restoration out of the box. Available through AIML API with a single endpoint call.
API Pricing
* $0.468 / hour of audio
Architecture: what makes it work
Azure AI Speech backboneMAI-Transcribe 1.5 runs on Microsoft's Azure AI Speech infrastructure — the same engine that powers Teams transcription, Cortana, and enterprise dictation products. The model benefits from years of production-scale training on diverse audio conditions, speaker accents, and domain-specific vocabulary.
Multilingual acoustic modelingThe model is trained on audio data across 100+ languages and locales, enabling accurate transcription without language-specific configuration. Speakers can switch languages mid-audio and the model adapts without requiring separate calls.
Automatic language detectionMAI-Transcribe 1.5 identifies the spoken language from the audio signal itself — no language tag required. This is particularly useful for multi-lingual content, inbound audio pipelines, and real-time transcription workflows where the input language is not known in advance.
Punctuation and formatting restorationThe model does not return raw word sequences. Punctuation, sentence boundaries, and basic formatting are restored automatically — producing transcripts that are readable and ready for downstream processing without post-processing scripts.
Noise robustnessThe acoustic model is trained on audio recorded in diverse real-world conditions: phone calls, conference rooms, field recordings, and noisy environments. It handles reverb, background noise, and compression artifacts without degrading accuracy significantly.
Core capabilities
Multilingual transcriptionTranscribe audio in 100+ supported languages with per-language acoustic models fine-tuned for phonetic accuracy. Switch languages within a single audio file without configuration changes.
Automatic language identificationPass audio without specifying the language. The model detects and transcribes in the correct language — suited for global customer support recordings, multilingual meetings, and variable-language media.
Punctuated, structured outputReceive transcripts with sentence-level punctuation, proper capitalization, and natural paragraph breaks — not raw token streams. Downstream text processing can work directly with the output.
Long-form audio processingTranscribe extended recordings: lectures, interviews, meetings, podcasts, and call center audio — without chunking or context loss across segments.
Who should use MAI-Transcribe 1.5?
Customer support and call center teamsOrganizations transcribing inbound calls, support sessions, and sales recordings for quality assurance, compliance logging, and agent coaching.
Media and content platformsPodcast platforms, video services, and broadcast teams generating transcripts, subtitles, and closed captions from audio and video content.
Enterprise productivity toolsMeeting transcription, voice note digitization, and dictation workflows where accurate, punctuated text output is required at scale.
Developers building voice-enabled appsEngineers adding speech input to applications — voice commands, audio search, interview analysis tools — with a reliable, multilingual transcription backend.
Research and compliance teamsTeams processing recorded interviews, focus groups, or regulatory audio archives that require structured, searchable text output.
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