Azure Speech to Text
Quickly and accurately transcribe audio to text in more than 85 languages and variants. Customize models to enhance accuracy for domain-specific terminology. Get more value from spoken audio by enabling search or analytics on transcribed text or facilitating action, all in your preferred programming language. Get accurate audio to text transcriptions with state-of-the-art speech recognition. Add specific words to your base vocabulary or build your own speech-to-text models. Run Speech to Text anywhere, in the cloud or at the edge in containers. Access the same robust technology that powers speech recognition across Microsoft products. Convert audio to text from a range of sources, including microphones, audio files, and blob storage. Use speaker diarisation to determine who said what and when. Get readable transcripts with automatic formatting and punctuation. Tailor your speech models to understand organization- and industry-specific terminology.
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Subanana
Subanana is an AI speech-to-text web app that turns audio and video into subtitles, transcripts, and meeting summaries in 80+ languages, with standout accuracy on Asian and mixed-language speech (Cantonese, Mandarin, Japanese, Korean, and code-switching) that English-first tools handle poorly.
Subtitles: import a file or a YouTube/Instagram/Facebook link, edit with a glossary and AI auto-correct, and export SRT, VTT, TXT, DOCX, bilingual subtitles, or burned-in video.
Transcripts: speaker labels, filler-word removal, automatic punctuation and paragraphs.
Meeting summaries: templates, decisions and action items, plus a Google Meet and Microsoft Teams recording bot that processes the meeting after it ends.
Live captions: real-time captioning with translation for events.
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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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AccurateScribe.ai
AccurateScribe.ai – AI-Powered Speech-to-Text Transcription for 134+ Languages.
AccurateScribe.ai is an advanced, cloud-based speech-to-text transcription platform designed to deliver high-accuracy, multilingual voice transcription using cutting-edge AI models such as Whisper. With support for over 130 languages and dialects, the platform enables users to convert audio and video into precise, readable text—quickly and securely.
Users can upload individual audio or video files in popular formats like MP3, WAV, MP4, and MOV, with support for files up to 10 hours or 5 GB in size. For added flexibility, AccurateScribe also offers an in-browser voice recorder that lets users record meetings, lectures, or notes directly and convert them into transcripts in real time. Additionally, users can transcribe public links from platforms such as YouTube, Dropbox, and Google Drive by simply pasting the URL—no manual downloads required.
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