MAI-Transcribe-1.5

MAI-Transcribe-1.5

Microsoft AI
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About

MAI-Transcribe-1.5 is Microsoft AI’s production-ready speech-to-text model for turning noisy audio into highly accurate, domain-aware transcripts across 43 languages. It delivers consistent, high-accuracy transcription across languages, accents, speaking styles, and challenging audio conditions, with automatic language detection included. The model is designed for real-world audio where speech often comes through conference rooms, phone lines, busy streets, low-quality recordings, background noise, and overlapping speakers. MAI-Transcribe-1.5 adapts transcription to domain-specific terminology, making it ready for captions, call analysis, accessibility, meeting transcription, doctor’s notes, pharma customer calls, content workflows, and other enterprise speech use cases out of the box. It uses contextual biasing to improve recognition of specialized vocabulary, names, industry language, and terms that generic transcription systems may miss.

About

OMOPHub is a hosted terminology API for healthcare data teams, health informatics engineers, and researchers working with OMOP and OHDSI data. It provides API access to standardized clinical concepts from more than 120 vocabularies, with semantic and multilingual search, cross-vocabulary mappings, hierarchy navigation, and tools for resolving clinical terms. FHIR terminology endpoints support FHIR-based applications, and Python, R, and Node.js SDKs help developers add vocabulary lookup to data pipelines and software. An MCP server exposes terminology functions to compatible AI clients. Teams can use OMOPHub for clinical data normalization, ETL, cohort building, analytics, and research workflows that depend on consistent concept identifiers. The service is offered as a SaaS API, with a free usage tier, paid plans for higher-volume workloads, and a private cloud deployment option.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Users, developers and teams that need accurate, multilingual, context-aware transcription for voice agents, meetings, call analytics, accessibility, and content workflows

Audience

Healthcare data teams, health informatics engineers and researchers working with OMOP / OHDSI data

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$0/month
Free: $0/month for 3,000 API calls per month, with no overage charges. Pro: $39/month for up to 50,000 calls; Scale: $79/month for up to 125,000 calls; Business: $149/month for up to 250,000 calls. Private Cloud deployment is available for AWS, Google Cloud, or Azure.
Free Version Supported
Free Trial Not Supported

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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Review this Software

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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Microsoft AI
Founded: 2024
United States
microsoft.ai/news/mai-transcribe-1-5more-accurate-context-aware-and-built-for-production/

Company Information

OMOPHub
Founded: 2025
Czech Republic
omophub.com

Alternatives

Alternatives

MAI-Transcribe-1

MAI-Transcribe-1

Microsoft AI
Voicepoint Spark

Voicepoint Spark

Voicepoint
HealthAPIx

HealthAPIx

Google

Categories

AI Models Supported
Transcription Supported

Categories

Healthcare APIs Supported

Integrations

Microsoft Azure Supported
Microsoft Foundry Supported
Model Context Protocol (MCP) Not Supported

Integrations

Microsoft Azure Not Supported
Microsoft Foundry Not Supported
Model Context Protocol (MCP) Supported
Claim MAI-Transcribe-1.5 and update features and information
Claim MAI-Transcribe-1.5 and update features and information
Claim OMOPHub and update features and information
Claim OMOPHub and update features and information