Average Ratings 0 Ratings

Total
ease
features
design
support

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

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

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

Write a Review

Description

Efficiently and precisely convert audio into text across over 85 languages and their variations. Enhance transcription accuracy by customizing models to better suit specific industry jargon. Unlock the full potential of spoken audio by allowing for search capabilities or analytics on the transcribed text, or enabling actions through your chosen programming language. Achieve high-quality audio-to-text transcriptions through advanced speech recognition technology. Expand your base vocabulary by incorporating particular terms or create your own bespoke speech-to-text models. Operate Speech to Text in various environments, whether in the cloud or locally through containers. Leverage the powerful technology that supports speech recognition in Microsoft products. Transform audio input from diverse sources, including microphones, audio files, and blob storage. Utilize speaker diarisation techniques to identify who spoke and when. Obtain well-structured transcripts complete with automatic punctuation and formatting. Customize your speech models for a better understanding of terminology specific to your organization or industry, ensuring a higher level of accuracy in your transcriptions. This versatility makes it easier to adapt the technology to your specific needs and applications.

Description

OMOPHub serves as a hosted terminology API designed for healthcare data teams, health informatics engineers, and researchers who engage with OMOP and OHDSI datasets. It offers API access to a wide range of standardized clinical concepts sourced from over 120 vocabularies, featuring capabilities such as semantic and multilingual search, cross-vocabulary mappings, and tools for navigating hierarchies and resolving clinical terms. For applications based on FHIR, it provides dedicated terminology endpoints, while SDKs available in Python, R, and Node.js facilitate the incorporation of vocabulary lookups into data pipelines and software solutions. An MCP server is available to deliver terminology functions compatible with AI clients. OMOPHub is invaluable for teams focusing on clinical data normalization, ETL processes, cohort creation, analytics, and research workflows that require consistent concept identifiers. This service is provided as a SaaS API, featuring a free tier for basic usage, various paid plans tailored for larger workloads, and an option for private cloud deployment to meet specific organizational needs. Furthermore, its flexible architecture allows for easy integration into existing systems, enhancing the overall efficiency of healthcare data management.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

Azure Marketplace Yes 
Lont Yes 
Microsoft 365 Yes 
Microsoft Azure Yes 
Model Context Protocol (MCP) No 

Integrations

Azure Marketplace No 
Lont No 
Microsoft 365 No 
Microsoft Azure No 
Model Context Protocol (MCP) Yes 

Pricing Details

$1 per audio hour
Free Trial Yes 
Free Version No 

Pricing Details

$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 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 Yes 
Live Rep (24/7) Yes 
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 Yes 

Types of Training

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

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/services/cognitive-services/speech-to-text/

Vendor Details

Company Name

OMOPHub

Founded

2025

Country

Czech Republic

Website

omophub.com

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

Voicepoint Spark Reviews

Voicepoint Spark

Voicepoint
HealthAPIx Reviews

HealthAPIx

Google