Microsoft Azure Speech-to-text from the Speech service, also known as speech recognition, enables real-time and batch transcription of audio streams into text.
The top three of Microsoft Azure Speech to Text’s competitors in the NLP And Text Analytics category are Hugging Face with 19.81%, IBM Watson Assistant with 15.22%, Dragon NaturallySpeaking with 13.10% market share.
The top three of Microsoft Azure Speech to Text’s competitors in the NLP And Text Analytics category are Hugging Face with 19.81%, IBM Watson Assistant with 15.22%, Dragon NaturallySpeaking with 13.10% market share.
Around the world in 2023, over 28 companies have started using Microsoft Azure Speech to Text as NLP And Text Analytics tool.
Uncover hidden demand and identify accounts ready to buy with 6sense Intent Data.
The three top industries that use Microsoft Azure Speech to Text for NLP And Text Analytics are Artificial Intelligence (5), Digital Transformation (4), Machine Learning (3).
The majority of Microsoft Azure Speech to Text’s customers for the nlp-and-text-analytics category fall in the company size of 10,000+ employees (10 companies), 1,000 - 4,999 employees (4 companies), 100 - 249 employees (4 companies).
The top three geographies of Microsoft Azure Speech to Text for nlp-and-text-analytics are the United States with 17(60.71%), India with 4(14.29%), United Kingdom with 2(7.14%) customers respectively.
Download the 6sense Chrome Extension to get verified contact data of Microsoft Azure Speech to Text employees
Install NowFind answers to the most often asked questions by users.
Microsoft Azure Speech to Text’s Top competitors in the nlp-and-text-analytics category are Hugging Face, IBM Watson Assistant, Dragon NaturallySpeaking. You can view a full list of Microsoft Azure Speech to Text competitors Microsoft Azure Speech to Text vs Hugging Face Microsoft Azure Speech to Text vs IBM Watson Assistant Microsoft Azure Speech to Text vs Dragon NaturallySpeaking .
. 6sense uses advanced data mining and AI algorithms to track customers and of Microsoft Azure Speech to Text and 40,000 other technologies on the internet.You can also compare Microsoft Azure Speech to Text and its feature with top competitors here :The majority of Microsoft Azure Speech to Text’s customers for the nlp-and-text-analytics category fall in the company size of 10,000+ employees (10 companies), 1,000 - 4,999 employees (4 companies), 100 - 249 employees (4 companies). You can view a distribution chart of Microsoft Azure Speech to Text customers by company size
.Microsoft Azure Speech to Text has market share of 1.10% in nlp-and-text-analytics market. Microsoft Azure Speech to Text competes with 23 competitor tools in nlp-and-text-analytics category. The top alternatives for Microsoft Azure Speech to Text nlp-and-text-analytics tool are Hugging Face with 19.81%, IBM Watson Assistant with 15.22%, Dragon NaturallySpeaking with 13.10% market share.
Top industries that use Microsoft Azure Speech to Text for nlp-and-text-analytics are Artificial Intelligence (5), Digital Transformation (4), Machine Learning (3).
Around the world in 2023, over 28 companies have started using Microsoft Azure Speech to Text as nlp-and-text-analytics tool. Companies using Microsoft Azure Speech to Text for nlp-and-text-analytics are majorly from United States with 17 customers. 60.71% of Microsoft Azure Speech to Text customers are from the United States. Other top countries using Microsoft Azure Speech to Text are India and United Kingdom with 4(14.29%) and 2(7.14%) customers respectively.
Close deals faster by understanding your clients well. Know their technology stack, contract renewal date, top decision-makers, hiring trends, and top company news in one place.