Subanana

Subanana

Datax Limited
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About

Muse Voice Transcribe is Meta’s first real-time audio perception model, delivering streaming automatic speech recognition (ASR), diarization, and endpointing in real time. An autoregressive multimodal model from the Muse Spark family, it processes audio in 80 ms chunks and decides dynamically whether to continue listening or emit text. Its adaptive delay changes the amount of audio context used for each word based on difficulty, balancing transcription accuracy with latency. The model is trained on more than 70 languages, with 25 extensively verified at launch, and natively supports arbitrary code-switching both within and between sentences. Language, keyword, and context biasing can further improve recognition accuracy for specific names, places, contacts, or terminology. Streaming diarization identifies speaker changes and distinguishes more than 20 speakers, while endpointing detects when speech begins and when a user finishes speaking.

About

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and AI researchers seeking to build real-time voice applications that transcribe multilingual speech, distinguish speakers, and detect conversational turns

Audience

Content creators, business teams, researchers, and event organizers who need accurate transcription of Asian or mixed-language audio.

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

No information available.
Free Version
Free Trial

Pricing

$9/month
Free preview tier; paid plans from US $9/month.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Meta
Founded: 2004
United States
research.meta.ai/blog/introducing-muse-voice-transcribe

Company Information

Datax Limited
Hong Kong
subanana.com

Alternatives

MAI-Transcribe-1.5

MAI-Transcribe-1.5

Microsoft AI

Alternatives

MAI-Transcribe-2

MAI-Transcribe-2

Microsoft AI
Silkwave Voice

Silkwave Voice

Silkwave

Categories

Categories

Integrations

No info available.

Integrations

No info available.
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