Related Products
|
||||||
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
VideoToWords.ai is an AI‑powered transcription tool that converts audio and video into text with 99.9% accuracy, supporting more than 98 languages and speaker recognition. Users can upload files up to ten hours in length, MP3, WAV, MP4, AVI, MPEG, M4A, and more, directly in the browser, and transcription begins automatically. It provides ultra‑fast, GPU‑accelerated processing, AI‑generated summaries for quick insights, and an intuitive online editor for reviewing and optimizing transcripts. Completed text can be exported in TXT, DOCX, PDF, SRT, or VTT formats for easy sharing, subtitle creation, or further editing. Built on industry‑leading speech and video recognition models, VideoToWords.ai ensures ironclad data security and privacy, handling meeting recordings, lectures, interviews, podcasts, and marketing content seamlessly. With extended file support, customizable export options, and global language coverage.
|
|||||
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
Professionals, educators and content creators interested in a tool to quickly and accurately transcribe and subtitle audio or video content into editable text
|
|||||
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 |
|||||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationMeta
Founded: 2004
United States
research.meta.ai/blog/introducing-muse-voice-transcribe
|
Company InformationVideoToWords.ai
United States
www.videotowords.ai/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
||||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
Google Docs
Microsoft Word
YouTube
|
||||||
|
|
|