Azure Speech to TextMicrosoft
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Related Products
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About
Quickly and accurately transcribe audio to text in more than 85 languages and variants. Customize models to enhance accuracy for domain-specific terminology. Get more value from spoken audio by enabling search or analytics on transcribed text or facilitating action, all in your preferred programming language. Get accurate audio to text transcriptions with state-of-the-art speech recognition. Add specific words to your base vocabulary or build your own speech-to-text models. Run Speech to Text anywhere, in the cloud or at the edge in containers. Access the same robust technology that powers speech recognition across Microsoft products. Convert audio to text from a range of sources, including microphones, audio files, and blob storage. Use speaker diarisation to determine who said what and when. Get readable transcripts with automatic formatting and punctuation. Tailor your speech models to understand organization- and industry-specific terminology.
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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.
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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
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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
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Audience
Developers and individuals wanting to transcribe audio with a speech to text solution
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Audience
Healthcare data teams, health informatics engineers and researchers working with OMOP / OHDSI data
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
$1 per audio hour
Free Version
Not Supported
Free Trial
Supported
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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
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationMicrosoft
Founded: 1975
United States
azure.microsoft.com/en-us/services/cognitive-services/speech-to-text/
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Company InformationOMOPHub
Founded: 2025
Czech Republic
omophub.com
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Categories |
Categories |
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Integrations
Azure Marketplace
Supported
Lont
Supported
Microsoft 365
Supported
Microsoft Azure
Supported
Model Context Protocol (MCP)
Not Supported
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Integrations
Azure Marketplace
Not Supported
Lont
Not Supported
Microsoft 365
Not Supported
Microsoft Azure
Not Supported
Model Context Protocol (MCP)
Supported
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