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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

MAI-Transcribe-2 represents the pinnacle of Microsoft AI's transcription capabilities, engineered to provide rapid and precise speech recognition across various real-world audio scenarios. This model includes features like speaker diarization, enabling it to differentiate between speakers and correctly attribute dialogue, as well as offering word-level timestamps for enhanced alignment, searching, navigation, and editing purposes. Additionally, it utilizes keyword biasing to improve the recognition of specialized terms, abbreviations, and names that may otherwise be challenging to identify from their contextual usage. Developers are afforded the flexibility to select from different transcription styles: a verbatim option that retains filler words and false starts for thorough analysis and compliance, or a clean option that eliminates such elements for clearer captions and more polished published transcripts. Furthermore, the model is adept at handling code-switching, seamlessly transitioning between languages during conversations, even accommodating mixed language combinations like Hinglish and Spanglish, while automatically identifying the language being spoken. This makes MAI-Transcribe-2 an invaluable tool for diverse linguistic environments and applications.

Description

Spoken is an innovative API designed to convert any publicly available podcast into a polished Markdown transcript that includes the actual names of the speakers instead of generic labels like "Speaker 1." With a single API request, users can obtain named, timestamped text that is compatible with LLMs, RAG pipelines, summarizers, and search functionalities. Instead of needing to handle speech-to-text processing and speaker identification on your own, Spoken directly provides transcripts of published podcasts while also identifying speaker names, typically at a cost that is 5-10 times lower for these shows. Users can search by entering text or by pasting a Spotify or YouTube URL, which enhances accessibility. Additionally, the service operates on a pay-per-use basis without requiring a subscription; users will not be billed for unsuccessful calls, and any repeat fetches are provided free of charge. The API is designed to be agent-native, and it comes equipped with an Agent Skill, along with resources like agents.md, llms.txt, and an OpenAPI specification. To help users get started, a free demo key is available, and paid credits can be purchased starting at just $15, making it an attractive option for anyone looking to utilize podcast transcripts efficiently. With its user-friendly features and cost-effective model, Spoken is paving the way for easier access to podcast content.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Microsoft Azure Yes 
Microsoft Foundry Yes 

Integrations

Microsoft Azure No 
Microsoft Foundry No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$15
Free Trial No 
Free Version 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 

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) No 
In Person No 

Vendor Details

Company Name

Microsoft AI

Founded

2024

Country

United States

Website

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

Vendor Details

Company Name

Spoken

Founded

2026

Country

Netherlands

Website

spoken.md

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 

Product Features

Alternatives

Alternatives

Pepys Reviews

Pepys

KMF Ventures LLC
MAI-Transcribe-2 Reviews

MAI-Transcribe-2

Microsoft AI