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.
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Riverside
Riverside (previously "Riverside FM") is an all-in-one AI-powered content creation studio for recording, editing, and streaming high-quality video and audio. Designed for podcasters, marketers, and businesses, Riverside captures 4K video and lossless audio locally for every participant—ensuring crystal-clear quality even with weak connections. Its intuitive text-based editor lets users trim, clean up, and caption recordings directly from the transcript, eliminating the need for complex editing tools. With features like Magic Audio, AI Voice, and VideoDub, creators can polish sound, fix mistakes, and sync lips with AI-generated speech in seconds. Riverside also enables HD live streaming and AI Show Notes for automatic titles, chapters, and keywords that simplify publishing. Whether recording a podcast, webinar, or social clip, Riverside brings professional-grade production within everyone’s reach.
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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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Podsuite
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.
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