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What is Pepys?

Pepys is an adaptable AI transcription solution that transforms both audio and video materials into well-structured transcripts complete with timestamps and speaker identification. This tool supports numerous languages and is equipped with sophisticated features such as smart transcript searching, summarization, translation capabilities, and an API for developers, along with access to MCP. Users can effortlessly upload files or share links from popular platforms like YouTube, TikTok, Instagram, Facebook, Spotify, or Apple Podcasts to obtain a refined transcript that displays word and segment timestamps alongside the corresponding speaker names. Furthermore, it provides a range of export options, including TXT, Markdown, DOCX, PDF, SRT, VTT, and JSON formats, making it suitable for various applications and requirements. With its user-friendly interface, Pepys streamlines the transcription process, allowing for efficient content management and accessibility.

What is MAI-Transcribe-2?

MAI-Transcribe-2 stands as the apex of Microsoft AI's transcription technology, meticulously designed to deliver swift and accurate speech recognition in a variety of real-world audio settings. The model boasts functionalities such as speaker diarization, which allows it to distinguish among speakers and attribute dialogue accurately, along with providing word-level timestamps that enhance alignment, searching, navigation, and editing capabilities. It also incorporates keyword biasing to boost the recognition accuracy of specialized terminology, abbreviations, and names that might otherwise be difficult to discern in context. Developers can choose from various transcription styles, including a verbatim option that captures filler words and false starts for comprehensive analysis and compliance, or a clean option that omits these elements for clearer captions and more polished published transcripts. Moreover, the model is skilled at managing code-switching, effortlessly shifting between languages in conversations, and it can even handle mixed language combinations like Hinglish and Spanglish, all while automatically detecting the spoken language. This adaptability not only enhances usability but also positions MAI-Transcribe-2 as an indispensable asset in multilingual environments and diverse applications. Consequently, its innovative features cater to the evolving demands of transcription across industries.

Media

No images available

Media

Integrations Supported

Microsoft Azure
Microsoft Foundry

Integrations Supported

Microsoft Azure
Microsoft Foundry

API Availability

Has API

API Availability

Has API

Pricing Information

$0.85 per hour
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

KMF Ventures LLC

Company Location

United States

Company Website

pepys.co

Company Facts

Organization Name

Microsoft AI

Date Founded

2024

Company Location

United States

Company Website

microsoft.ai/news/mai-transcribe-2-is-the-fastest-most-accurate-and-cheapest-speech-recognition-model-in-the-world/

Categories and Features

Transcription

AI / Machine Learning
Annotations
Audio/Video File Upload
Automatic Transcription
Collaboration Tools
File Sharing
For Manual Transcription
Full Text Search
Multi-Language Support
Natural Language Processing (NLP)
Playback Controls
Speech Recognition
Subtitles
Text Editor
Timecoding

Categories and Features

Transcription

AI / Machine Learning
Annotations
Audio/Video File Upload
Automatic Transcription
Collaboration Tools
File Sharing
For Manual Transcription
Full Text Search
Multi-Language Support
Natural Language Processing (NLP)
Playback Controls
Speech Recognition
Subtitles
Text Editor
Timecoding

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