MAI-Transcribe-1.5
MAI-Transcribe-1.5 is Microsoft AI’s production-ready speech-to-text model for turning noisy audio into highly accurate, domain-aware transcripts across 43 languages. It delivers consistent, high-accuracy transcription across languages, accents, speaking styles, and challenging audio conditions, with automatic language detection included. The model is designed for real-world audio where speech often comes through conference rooms, phone lines, busy streets, low-quality recordings, background noise, and overlapping speakers. MAI-Transcribe-1.5 adapts transcription to domain-specific terminology, making it ready for captions, call analysis, accessibility, meeting transcription, doctor’s notes, pharma customer calls, content workflows, and other enterprise speech use cases out of the box. It uses contextual biasing to improve recognition of specialized vocabulary, names, industry language, and terms that generic transcription systems may miss.
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LiteScribe
LiteScribe is an AI transcription platform that turns any meeting, interview, or recording into accurate text in 100+ languages, then adds AI summaries, action items, topic tags and sentiment. It measures 94.1% word accuracy on real-world English audio, rising to about 95% in High Accuracy mode. Speaker diarization, translation, PII redaction and profanity filtering are built in. Ask AI questions across your whole transcript library using 14+ models or your own API key, and store reusable prompts in a Prompt Vault. Capture from direct upload, social links, cloud storage, a Chrome recorder, and native desktop and mobile apps. Meeting Mode records Zoom, Teams, Meet and Webex calls without putting a bot into the meeting. Export to DOCX, PDF, PPTX, XLSX and SRT. The Windows, macOS and Linux desktop app also runs fully offline with on-device transcription and an on-device LLM, so sensitive audio never leaves the machine.
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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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RiverScript
Transcribe everything you can hear on your computer
Capture and turn into text everything you can hear on your computer – meetings, podcasts, any videos with Live Recording Transcription from RiverScript. Your sound – your rules. A multi-model AI architecture combining leading speech recognition models from ElevenLabs, OpenAI and Deepgram. Interactive editor, timecodes, speaker diarization. Lightning-fast desktop client for Windows and macOS, built on Rust. Supports audio and video files up to 50 GB and 8 hours long.
● works with audio and video files up to 50 GB, including batch uploads
● has a built-in editor and an interactive media player
● translates transcripts into other languages with AI
● generates subtitles with clickable timestamps
● performs speaker diarization
● creates AI-powered summaries
● lets you ask AI anything about your transcript
RiverScript – transcribe everything!
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