Spoken

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.

Podsuite is an AI-powered podcast post-production tool that turns a single episode upload into a complete, publish-ready content stack. Upload an MP3, WAV, or M4A file and get a speaker-diarized transcript, structured show notes, timestamped chapter markers compatible with Spotify and YouTube, episode title suggestions, SEO keywords, a full-length blog post, newsletter copy, platform-native social media posts for LinkedIn and X, and highlight clip timestamps — all generated automatically in one pass. Corrections made to the transcript flow through to all other outputs automatically, keeping everything consistent. SRT file export is available for YouTube captions. All outputs are fully editable and exportable. Podsuite replaces 6–8 hours of manual post-production per episode with around 10 minutes of review. It does not train on user content — all episodes and outputs remain private to the user.