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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

An AI-powered transcription tool that transforms audio and video files into text, complete with timestamps and automatic identification of speakers. It not only distinguishes who is speaking but also organizes the transcript into labeled segments that users can rename as needed. This versatile tool accommodates various formats, including MP3, M4A, WAV, AAC, FLAC, OGG, Opus, WMA, AMR, MP4, MOV, WEBM, AVI, MKV, and more, and it allows for exporting subtitles in TXT, SRT, VTT, and DOCX formats while including the names of the speakers. The service offers a free tier that allows users to transcribe one file without the need for a signup, complete with speaker labels. Both speech recognition and speaker identification processes are conducted on private self-hosted GPU systems, ensuring that audio files are promptly deleted after the transcription is completed. The tool is capable of supporting numerous languages, including Spanish, French, German, Portuguese, Italian, Japanese, Hindi, Korean, among others, making it a valuable resource for a diverse range of users. Additionally, its user-friendly interface enhances the overall transcription experience.

Description

Muse Voice Transcribe represents Meta’s inaugural venture into real-time audio perception, providing instantaneous automatic speech recognition (ASR), speaker diarization, and endpointing capabilities. This autoregressive multimodal model, part of the Muse Spark series, analyzes audio segments of 80 milliseconds and makes real-time decisions on whether to keep listening or to convert the spoken words into text. The adaptive delay mechanism allows it to adjust the audio context utilized for each word according to the complexity of the speech, thus optimizing the balance between transcription precision and response time. With training encompassing over 70 languages, 25 of which were rigorously validated at the time of its release, the model also seamlessly accommodates arbitrary code-switching, allowing transitions within and across sentences. Furthermore, language, keyword, and contextual biasing features enhance the recognition capabilities for specific names, locations, contacts, or specialized terms. The streaming diarization functionality enables the model to recognize shifts in speakers and can differentiate between more than 20 individual voices. Additionally, the endpointing feature is adept at identifying the commencement of speech and knowing when a user has completed their statement, ensuring a fluid interaction experience. Overall, Muse Voice Transcribe stands out as a cutting-edge tool in the realm of speech recognition technology, merging advanced features with user-friendly application.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

$12/user/month
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

FastScribe

Founded

2026

Country

United States

Website

thefastscribe.com

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

research.meta.ai/blog/introducing-muse-voice-transcribe

Product Features

Transcription

AI / Machine Learning No 
Annotations No 
Audio/Video File Upload No 
Automatic Transcription No 
Collaboration Tools No 
File Sharing No 
For Manual Transcription No 
Full Text Search No 
Multi-Language Support No 
Natural Language Processing (NLP) No 
Playback Controls No 
Speech Recognition No 
Subtitles No 
Text Editor No 
Timecoding No 

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