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 19.08%, Dragon NaturallySpeaking with 16.02%, IBM Watson Assistant with 13.90% market share.
The top three of Microsoft Azure Speech to Text’s competitors in the NLP And Text Analytics category are Hugging Face with 19.08%, Dragon NaturallySpeaking with 16.02%, IBM Watson Assistant with 13.90% market share.
Around the world in 2023, over 68 companies have started using Microsoft Azure Speech to Text as NLP And Text Analytics tool.
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The three top industries that use Microsoft Azure Speech to Text for NLP And Text Analytics are Artificial Intelligence (9), Ai (6), Digital Transformation (6).
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 (19 companies), 1,000 - 4,999 employees (16 companies), 20 - 49 employees (9 companies).
The top three geographies of Microsoft Azure Speech to Text for nlp-and-text-analytics are the United States with 24(34.29%), France with 6(8.57%), India with 6(8.57%) customers respectively.
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Microsoft Azure Speech to Text’s Top competitors in the nlp-and-text-analytics category are Hugging Face, Dragon NaturallySpeaking, IBM Watson Assistant. 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 Dragon NaturallySpeaking Microsoft Azure Speech to Text vs IBM Watson Assistant .
. 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 (19 companies), 1,000 - 4,999 employees (16 companies), 20 - 49 employees (9 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 2.43% 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 19.08%, Dragon NaturallySpeaking with 16.02%, IBM Watson Assistant with 13.90% market share.
Top industries that use Microsoft Azure Speech to Text for nlp-and-text-analytics are Artificial Intelligence (9), Ai (6), Digital Transformation (6).
Around the world in 2023, over 68 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 24 customers. 34.29% of Microsoft Azure Speech to Text customers are from the United States. Other top countries using Microsoft Azure Speech to Text are France and India with 6(8.57%) and 6(8.57%) customers respectively.
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